| 2021 | 3D Multi-Branch Encoder-Decoder Networks with Attentional Feature Fusion for Pulmonary Nodule Detection in CT Scans. Chenjiao Zhang, Lulu Wang, Xing Wu, Zhongshi He |
| 2021 | 3D Object Detection on large-scale dataset. Yan Zhao, Jihong Zhu, Haoyu Liang, Lyujie Chen |
| 2021 | A Bayesian Learning Network for Traffic Speed Forecasting with Uncertainty Quantification. Ying Wu, James J. Q. Yu |
| 2021 | A Bayesian approach to Expert Gate Incremental Learning. Valerio Mieuli, Francesco Ponzio, Alessio Mascolini, Enrico Macii, Elisa Ficarra, Santa Di Cataldo |
| 2021 | A Bi-modal Automated Essay Scoring System for Handwritten Essays. Jinghua Gao, Qichuan Yang, Yang Zhang, Liuxin Zhang, Siyun Wang |
| 2021 | A Biologically Plausible Audio-Visual Integration Model for Continual Learning. Wenjie Chen, Fengtong Du, Ye Wang, Lihong Cao |
| 2021 | A Blockwise Embedding for Multi-Day-Ahead Prediction of Energy Time Series by Randomized Deep Neural Networks. Francesco Di Luzio, Antonello Rosato, Federico Succetti, Massimo Panella |
| 2021 | A Brain-Inspired Causal Reasoning Model Based on Spiking Neural Networks. Hongjian Fang, Yi Zeng |
| 2021 | A Coarse-to-Fine Instance Segmentation Network with Learning Boundary Representation. Feng Luo, Xiu Li, Bin-Bin Gao, Jiangpeng Yan |
| 2021 | A Comparative Study of Machine Learning and NLP Techniques for Uses of Stop Words by Patients in Diagnosis of Alzheimer's Disease. Surabhi Adhikari, Surendrabikram Thapa, Priyanka Singh, Huan Huo, Gnana Bharathy, Mukesh Prasad |
| 2021 | A Comparative Study of Methods for Visualizable Semantic Embedding of Small Text Corpora. Rishabh Choudhary, Simona Doboli, Ali A. Minai |
| 2021 | A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoost. Luís Ferreira, André Luiz Pilastri, Carlos Manuel Martins, Pedro Miguel Pires, Paulo Cortez |
| 2021 | A Comparison of Deep-Learning Methods for Analysing and Predicting Business Processes. Ishwar Venugopal, Jessica Töllich, Michael Fairbank, Ansgar Scherp |
| 2021 | A Compressed Hidden Naive Bayesian Classifier. Guiliang Ou, Yulin He, Joshua Zhexue Huang |
| 2021 | A Contextual Attention Network for Multimodal Emotion Recognition in Conversation. Tana Wang, Yaqing Hou, Dongsheng Zhou, Qiang Zhang |
| 2021 | A Cooperative Framework with Generative Adversarial Networks and Entropic Auto-Encoders for Text Generation. Zhiyue Liu, Jiahai Wang |
| 2021 | A Cross-Modal Guiding and Fusion Method for Multi-Modal RSVP-based Image Retrieval. Jiayu Mao, Shuang Qiu, Dan Li, Wei Wei, Huiguang He |
| 2021 | A Data Stratification Process for Instances Selection Applied to Co-training Semi-supervised Learning Algorithm. Yago N. Araújo, Karliane M. O. Vale, Flavius L. Gorgônio, Anne Magály de Paula Canuto, Arthur Costa Gorgônio, Cephas A. S. Barreto |
| 2021 | A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node Classification. Jingyi Wang, Zhidong Deng |
| 2021 | A Deep Neural Network for Multivariate Time Series Clustering with Result Interpretation. Chenxiao Xu, Hao Huang, Shinjae Yoo |
| 2021 | A Deep Spike Learning through Critical Time Points. Chenxiang Ma, Junhai Xu, Qiang Yu |
| 2021 | A Dilated Convolution-based Denoising Network for Magnetic Resonance Images. Prasun Chandra Tripathi, Soumen Bag |
| 2021 | A Double Feature Fusion Network with Progressive Learning for Sharper Inpainting. Zhichao Zhang, Hui Chen, Jinsheng Deng, Xiaoqing Yin |
| 2021 | A Dual-Questioning Attention Network for Emotion-Cause Pair Extraction with Context Awareness. Qixuan Sun, Yaqi Yin, Hong Yu |
| 2021 | A Dynamic Multi-criteria Multi-engine Approach for Text Simplification. Victor Henrique Alves Ribeiro, Paulo R. Cavalin, Edmilson Da Silva Morais |
| 2021 | A Feature Aggregation Hourglass Network for Human Pose Estimation. Fan Lu, Yan Yang |
| 2021 | A Federated Deep Learning Framework for 3D Brain MRI Images. Zhipeng Fan, Jianpo Su, Kai Gao, Dewen Hu, Ling-Li Zeng |
| 2021 | A Framework for Asymmetrical DNN Modularization for Optimal Loading. Brijraj Singh, Yash Jain, Mayukh Das, Praveen Doreswamy Naidu |
| 2021 | A Fuzzy ARTMAP Framework for Predicting Student Dropout in Higher Education. Nabeel A. Murshed |
| 2021 | A Generative Bayesian Graph Attention Network for Semi-Supervised Classification on Scarce Data. Zhongtian Sun, Anoushka Harit, Jialin Yu, Alexandra I. Cristea, Noura Al Moubayed |
| 2021 | A Graph Regularized Point Process Model For Event Propagation Sequence. Siqiao Xue, Xiaoming Shi, Hongyan Hao, Lintao Ma, James Zhang, Shiyu Wang, Shijun Wang |
| 2021 | A Hierarchical Inter-Clause Interaction Network for Emotion Cause Extraction. Peiqin Lin, Meng Yang, Yu Gu |
| 2021 | A Language Model Based Pseudo-Sample Deliberation for Semi-supervised Speech Recognition. Cheng Yi, Jianzong Wang, Ning Cheng, Shiyu Zhou, Bo Xu |
| 2021 | A Large-Scale Dataset for Motivational Dialogue System: An Application of Natural Language Generation to Mental Health. Tulika Saha, Saraansh Chopra, Sriparna Saha, Pushpak Bhattacharyya, Pankaj Kumar |
| 2021 | A Light Ranker for Open-Domain Question Answering. Boyu Qiu, Jungang Xu, Xu Chen, Yingfei Sun |
| 2021 | A Light-weighted One-stage Framework for Speech Enhancement. Zhuangqi Chen, Pingjian Zhang |
| 2021 | A Lightweight Object Detection Framework. Weifeng Zhang, Jiajia Ni, Zhen Chao, Qingmao Hu |
| 2021 | A Lightweight sequence-based Unsupervised Loop Closure Detection. Fan Xiong, Yan Ding, Mingrui Yu, Wenzhe Zhao, Nanning Zheng, Pengju Ren |
| 2021 | A Meta-Learning Approach for Automated Hyperparameter Tuning in Evolving Data Streams. Thomas Lacombe, Yun Sing Koh, Gillian Dobbie, Ocean Wu |
| 2021 | A Method of Relation Extraction: Integrating Graph Convolutional Networks, Relative Entity Position Attention and Back-Multi-Head-Attention Mechanism. Ci Liu, Xuetong Zhao, Yawei Zhao |
| 2021 | A Modulation Front-End for Music Audio Tagging. Cyrus Vahidi, Charalampos Saitis, György Fazekas |
| 2021 | A Multi -Role Graph Attention Network for Knowledge Graph Alignment. Linyi Ding, Weijie Yuan, Kui Meng, Gongshen Liu |
| 2021 | A Multi-Task Learning Approach for Recommendation based on Knowledge Graph. Cairong Yan, Shuai Liu, Yanting Zhang, Zijian Wang, Pengwei Wang |
| 2021 | A Multi-level Semantic Fusion Approach for News Reprint Pattern Detection. Linzi Wang, Riheng Yao, Qiudan Li, Xina Zhang, Hejing Liu |
| 2021 | A Multi-path CNN for Automated Skin Lesion Segmentation. Joohi Chauhan, Puneet Goyal |
| 2021 | A Multimodal Classification of Noisy Hate Speech using Character Level Embedding and Attention. Nishchal Prasad, Sriparna Saha, Pushpak Bhattacharyya |
| 2021 | A Multitask Learning Approach for Fake News Detection: Novelty, Emotion, and Sentiment Lend a Helping Hand. Rina Kumari, Nischal Ashok, Tirthankar Ghosal, Asif Ekbal |
| 2021 | A Neural Ranker for Open-Domain Question Answering via Sentence-Level Jump Encoding. Yang Liu, Shiyi Xu, Zhen Huang, Changjian Wang, Dongsheng Li, Feng Liu, Jinyan Qiu |
| 2021 | A New Approach to Design Symmetry Invariant Neural Networks. Piotr Kicki, Piotr Skrzypczynski, Mete Ozay |
| 2021 | A New Particle Competition Model for Community Detection with Application in Functional Brain Networks. Paulo Henrique Lima de Paula, Liang Zhao |
| 2021 | A News Image Locating Approach Based on Cross-Modal RNN with An Encoding Updating Mechanism. Kai Wong, Jingqiang Chen |
| 2021 | A Novel Bi-Branch Graph Convolutional Neural Network for Aspect Level Sentiment Classification. Bingliang Chen, Guojun Lu, Yun Xue, Qianhua Cai |
| 2021 | A Novel Ensemble Method of RVFL For Classification Problem. Ashwani Kumar Malik, M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan |
| 2021 | A Novel Feature Importance Based Layer to Improve Neural Networks. Mohammed Baydoun, Hassan Ghaziri |
| 2021 | A Novel Hybrid Deep Learning Model For Stock Price Forecasting. Dhaifallah Alghamdi, Faris Alotaibi, Jayant Rajgopal |
| 2021 | A Novel Joint Model with Second-Order Features and Matching Attention for Aspect-Based Sentiment Analysis. Guozheng Rao, Xinru Gu, Zhiyong Feng, Qing Cong, Li Zhang |
| 2021 | A Novel Training Strategy for Deep Learning Model Compression Applied to Viral Classifications. Marcelo A. C. Fernandes, H. T. Kung |
| 2021 | A Novel Web Platform for COVID-19 diagnosis using X-Ray exams and Deep Learning Techniques. Virgínia Xavier Nunes, Aldísio Gonçalves Medeiros, Raylson Silva de Lima, Luís Fabrício de F. Souza, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho |
| 2021 | A Novel and High-Accuracy Rumor Detection Approach using Kernel Subtree and Deep Learning Networks. Ziyu Wei, Xi Xiao, Guangwu Hu, Bin Zhang, Qing Li, Shutao Xia |
| 2021 | A Performance Based Study on Deep Learning Algorithms in the Effective Prediction of Breast Cancer. Pronab Ghosh, Sami Azam, Khan Md. Hasib, Asif Karim, Mirjam Jonkman, Adnan Anwar |
| 2021 | A Proposal to Ensure Social Distancing with Deep Learning-based Object Detection. Francesco Mercaldo, Fabio Martinelli, Antonella Santone |
| 2021 | A Quantum Activation Function for Neural Networks: Proposal and Implementation. Saurabh Kumar, Siddharth Dangwal, Soumik Adhikary, Debanjan Bhowmik |
| 2021 | A Recurrent Reinforcement Learning Approach for Small Object Detection with Dynamic Refinement. Yue Li, Xuechun Han, Litong Ge, FangHao Liu, Yimeng Chai, Xianchun Zhou, Wei Wang |
| 2021 | A Reduced-Scale Cortical Network with Izhikevich's Neurons on SpiNNaker. Chinmay Chiplunkar, Nishant Gautam, Ishita Mediratta, Andrew Gait, Sujith Thomas, Andrew Rowley, Teresa Serrano-Gotarredona, Basabdatta Sen Bhattacharya |
| 2021 | A Reinforcement Learning-Based Control Approach for Unknown Nonlinear Systems with Persistent Adversarial Inputs. Xiangnan Zhong, Haibo He |
| 2021 | A Relation-Guided Attention Mechanism for Relational Triple Extraction. Yi Yang, Xueming Li, Xu Li |
| 2021 | A Relation-aware Attention Neural Network for Modeling the Usage of Scientific Online Resources. Yongxiu Xu, Heyan Huang, Chong Feng, Chuan Zhou, Jiarui Zhang, Yue Hu |
| 2021 | A Reward Shaping Approach for Reserve Price Optimization using Deep Reinforcement Learning. Reza Refaei Afshar, Jason Rhuggenaath, Yingqian Zhang, Uzay Kaymak |
| 2021 | A Robust Method with DropBlock for Face Anti-Spoofing. Gang Wu, Zhuo Zhou, Zhenhua Guo |
| 2021 | A Self-Supervised Learning Framework for Sequential Recommendation. Renqi Jia, Xu Bai, Xiaofei Zhou, Shirui Pan |
| 2021 | A Self-Weighting Module to Improve Sentiment Analysis. Ka-Hou Chan, Sio Kei Im, Yunfeng Zhang |
| 2021 | A Semi-Automated Explainability-Driven Approach for Malware Analysis through Deep Learning. Giacomo Iadarola, Rosangela Casolare, Fabio Martinelli, Francesco Mercaldo, Christian Peluso, Antonella Santone |
| 2021 | A Software Framework for Comparing Training Approaches for Spiking Neuromorphic Systems. Catherine D. Schuman, James S. Plank, Maryam Parsa, Shruti R. Kulkarni, Nicholas D. Skuda, J. Parker Mitchell |
| 2021 | A Spatial-Temporal Graph Attention Network for Multi-intersection Traffic Light Control. Liu He, Qing'an Li, Libing Wu, Min Wang, Jianxin Li, Dan Wu |
| 2021 | A Stabilized Dense Network Approach for High-Dimensional Prediction. Wenjing Yang, Yuhong Yang |
| 2021 | A Strategic Weight Refinement Maneuver for Convolutional Neural Networks. Patrick Sharma, Adarsh Karan Sharma, Dinesh Kumar, Anuraganand Sharma |
| 2021 | A Structural Transformer with Relative Positions in Trees for Code-to-Sequence Tasks. Johannes Villmow, Adrian Ulges, Ulrich Schwanecke |
| 2021 | A Study of Local Optima for Learning Feature Interactions using Neural Networks. Yangzi Guo, Ying Nian Wu, Adrian Barbu |
| 2021 | A Survey on Classical and Deep Learning based Intermittent Time Series Forecasting Methods. Karthikeswaren R, Kanishka Kayathwal, Gaurav Dhama, Ankur Arora |
| 2021 | A Swarm Variant for the Schrödinger Solver. Urvil Nileshbhai Jivani, Omatharv Bharat Vaidya, Anwesh Bhattacharya, Snehanshu Saha |
| 2021 | A Synthesis Method of Spiking Neural Oscillators with Considering Asymptotic Stability. Yasuaki Kuroe, Seiji Miyoshi, Hiroomi Hikawa, Hidetaka Ito, Kimiko Motonaka, Yutaka Maeda |
| 2021 | A Systematic Literature Review on Transfer Learning for 3D-CNNs. Marco Klaiber, Daniel Sauter, Hermann Baumgartl, Ricardo Buettner |
| 2021 | A Transferable Technique for Detecting and Localising Segments of Repeating Patterns in Time series. Mahtab Mirmomeni, Lars Kulik, James Bailey |
| 2021 | A Transformer based Multi-task Model for Domain Classification, Intent Detection and Slot-Filling. Tulika Saha, Neeti Priya, Sriparna Saha, Pushpak Bhattacharyya |
| 2021 | A Trend-aware Investment Target Recommendation System with Heterogeneous Graph. Miao Chen, Chao Wang, Chuan Qin, Tong Xu, Jianhui Ma, Enhong Chen, Hui Xiong |
| 2021 | A Unified Binary Embedding Framework for Image Retrieval. Yin He, Yi Chen |
| 2021 | A Unified Framework for Improving Misclassifications in Modern Deep Neural Networks for Sentiment Analysis. Ahoud Alhazmi, Abdulwahab Aljubairy, Wei Emma Zhang, Quan Z. Sheng, Elaf Alhazmi |
| 2021 | A Variable Memory Length Auto Encoder. Shamahil Ibunu, Samuel Weller, Clive Cheong Took |
| 2021 | A domain-mismatch speech recognition system in radio communication based on improved spectrum augmentation. Xiusong Sun, Qun Yang, Shaohan Liu |
| 2021 | A generic framework for monitoring pollution plumes in emergencies using UAVs. Ichrak Mokhtari, Walid Bechkit, Hervé Rivano |
| 2021 | A multi-objective fusion internal preload optimization method of redundantly actuated parallel robots for backlash prevention. Tingting Su, Xu Liang, Jiyu Liang, Weiqun Wang, Guangping He, Quanliang Zhao, Lei Zhao, Can Huang, Yuze Jiao |
| 2021 | A novel asynchronous sequential logic model of central pattern generator for quadruped robot: systematic design and efficient implementation. Sho Komaki, Kentaro Takeda, Hiroyuki Torikai |
| 2021 | A novel chromosome instance segmentation method based on geometry and deep learning. Kaixin Huang, Chengchuang Lin, Runhua Huang, Gansen Zhao, Aihua Yin, Hanbiao Chen, Li Guo, Chun Shan, Ruihua Nie, Shuangyin Li |
| 2021 | A study on Ensemble Learning for Time Series Forecasting and the need for Meta-Learning. Julia Gastinger, Sébastien Nicolas, Dusica Stepic, Mischa Schmidt, Anett Schülke |
| 2021 | A subjective-logic-based model uncertainty estimation mechanism for out-of-domain detection. Jiarui Xie, Thierry Chateau, Violaine Antoine |
| 2021 | A telehealth framework for dementia care: an ADLs patterns recognition model for patients based on NILM. Shuang Dai, Qian Wang, Fanlin Meng |
| 2021 | A two-stage community search method based on seed replacement and joint random walk. Ju Li, Huifang Ma, Qingqing Li, Zhixin Li, Liang Chang |
| 2021 | A visual self-attention network for facial expression recognition. Naigong Yu, Deguo Bai |
| 2021 | ADA: Adaptive Depth Attention Model for Click - Through Rate Prediction. Shujin Liu, Derong Chen, Jie Shao |
| 2021 | ADKGN: An Attentive Dynamic Knowledge Graph Network for Sequential Recommendation. Mengqiu Yao, Liqiang Song, Ye Bi, Wei Wang, Kun Deng, Jianming Wang, Jing Xiao, Xiaoyun Lin, Zhaojun Gui |
| 2021 | ADVERSARIALuscator: An Adversarial-DRL based Obfuscator and Metamorphic Malware Swarm Generator. Mohit Sewak, Sanjay K. Sahay, Hemant Rathore |
| 2021 | ANP-W2V: Effects of Composition Methods for Embedding Adjective-Noun Pairs. Dayananda Herurkar, Philipp Blandfort, Federico Raue, Jörn Hees, Andreas Dengel |
| 2021 | ARGO: Modeling Heterogeneity in E-commerce Recommendation. Daqing Wu, Xiao Luo, Zeyu Ma, Chong Chen, Minghua Deng, Jinwen Ma |
| 2021 | ASLR: An Adaptive Scheduler for Learning Rate. Alireza Khodamoradi, Kristof Denolf, Kees A. Vissers, Ryan Kastner |
| 2021 | ASM: Augmentation-based Semantic Mechanism on Abstractive Summarization. Weidong Ren, Hao Zhou, Gongshen Liu, Fei Huan |
| 2021 | AST-path Based Compare-Aggregate Network for Code Clone Detection. Hongliang Liang, Lu Ai |
| 2021 | Abundant Computer and Robot Experiments Verifying Minimum Joint Motion Planning and Control of Redundant Arms via Zhang Neural Network. Wuyi Yang, Jianrong Chen, Yunong Zhang, Jiansheng Sun, Zhijun Zhang |
| 2021 | Accelerating $t$-SNE using Fast Fourier Transforms and the Particle-Mesh Algorithm from Physics. Valentin Delchevalerie, Alexandre Mayer, Adrien Bibal, Benoît Frénay |
| 2021 | Accurate Device Temperature Forecasting using Recurrent Neural Network for Smartphone Thermal Management. Aditi Jaiswal, Zeeshan Amjad, Suraj Jha, Nikhil Sahni, Vaisakh Punnekkattu Chirayil S. B, Renju C. Nair |
| 2021 | Active Learning with an Adaptive Classifier for Inaccessible Big Data Analysis. Sadia Jahan, Md. Rafiqul Islam, Khan Md. Hasib, Usman Naseem, Md. Saiful Islam |
| 2021 | Adaptive Advantage Estimation for Actor-Critic Algorithms. Yurou Chen, Fengyi Zhang, Zhiyong Liu |
| 2021 | Adaptive Adversarial Training for Meta Reinforcement Learning. Shiqi Chen, Zhengyu Chen, Donglin Wang |
| 2021 | Adaptive Coarse-to-Fine Interactor for Multi-Scale Object Detection. Zekun Li, Yufan Liu, Bing Li, Weiming Hu, Xue Zhou |
| 2021 | Adaptive Dila-DenseNet for Image based Time Series Classification in IoT. Qiao Jiang, Shuo Zhang, Jiayuan Chen, Xiaofei Chen, Hejiao Huang, Chonglin Gu |
| 2021 | Adaptive Federated Learning in Presence of Concept Drift. Giuseppe Canonaco, Alex Bergamasco, Alessio Mongelluzzo, Manuel Roveri |
| 2021 | Adaptive Retraining for Neural Network Robustness in Classification. Ruozhu Yao, Chengqiang Huang, Zheng Hu, Ke Pei |
| 2021 | Adaptive Texture Distillation Network for Image Hybrid Super-Resolution. Chunlei Liu, Zhen Han, Jiaxing Wen, Hui Hu, Zhongyuan Wang, Weiping Tu |
| 2021 | AdvCGAN: An Elastic and Covert Adversarial Examples Generating Framework. Baoli Wang, Xinxin Fan, Quanliang Jing, Haining Tan, Jingping Bi |
| 2021 | Advanced Densely Connected System with Embedded Spatio-Temporal Features Augmentation for Immunotherapy Assessment. Francesco Rundo, Giuseppe Luigi Banna, Francesca Trenta, Sebastiano Battiato |
| 2021 | Adversarial Attacks and Defense on Deep Learning Classification Models using YCbCr Color Images. Camilo Pestana, Naveed Akhtar, Wei Liu, David G. Glance, Ajmal Mian |
| 2021 | Adversarial Domain Adaptation with Correlation-Based Association Networks for Longitudinal Disk Fault Prediction. Xiang Lan, Dianwen Ng, Yi Liu, Jiongzhou Liu, Fan Xu, Cheng He, Mengling Feng |
| 2021 | Adversarial Example Defense Based on the Supervision. Ziyu Yao, Jiaquan Gao |
| 2021 | Adversarial Imbalance Classification with Class-Specific Diverse Instance Generation. Qihang Shen, Xinyue Wang, Zixin Cai, Liping Jing |
| 2021 | Adversarial Multi-task Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential Equations. Pongpisit Thanasutives, Masayuki Numao, Ken-ichi Fukui |
| 2021 | Adversarial Targeted Forgetting in Regularization and Generative Based Continual Learning Models. Muhammad Umer, Robi Polikar |
| 2021 | Adversarial Training of Variational Auto-encoders for Continual Zero-shot Learning(A-CZSL). Subhankar Ghosh |
| 2021 | Adversarially Smoothed Feature Alignment for Visual Domain Adaptation. Mohamed Azzam, Si Wu, Yang Zhang, Aurele Tohokantche Gnanha, Hau-San Wong |
| 2021 | An Ab Initio Local Principal Path Algorithm. Erika Gardini, Andrea Cavalli, Sergio Decherchi |
| 2021 | An Adaptive Resonance Theory-based Neural Network for Autonomous Learning via Iterative Knowledge Redescription. Gusztáv Bártfai |
| 2021 | An Adversarial Neural Cryptography Approach to Integrity Checking: Learning to Secure Data Communications. Korn Sooksatra, Pablo Rivas |
| 2021 | An Answer Driven Model For Paragraph-level Question Generation. Xu Chen, Jungang Xu |
| 2021 | An Auction Based Task Dispatching and Pricing Mechanism in Bike-sharing. Yaping Deng, Bing Shi, Han Yuan |
| 2021 | An AutoML-based Approach to Multimodal Image Sentiment Analysis. Vasco Lopes, António Gaspar, Luís A. Alexandre, João Cordeiro |
| 2021 | An Automated Approach for Timely Diagnosis and Prognosis of Coronavirus Disease. Abbas Raza Ali, Marcin Budka |
| 2021 | An Effective Approach for Malware Detection and Explanation via Deep Learning Analysis. Huozhu Wang, Ziyuan Zhu, Zhongkai Tong, Xiang Yin, Yusi Feng, Gang Shi, Dan Meng |
| 2021 | An Efficient Bayesian Neural Network for Multiple Data Streams. Ming Zhou, Yiliao Song, Guangquan Zhang, Bin Zhang, Jie Lu |
| 2021 | An Efficient Channel-level Pruning for CNNs without Fine-tuning. Zhongtian Xu, Jingwei Sun, Yunjie Liu, Guangzhong Sun |
| 2021 | An Efficient Method to Measure Robustness of ReLU-Based Classifiers via Search Space Pruning. Xinping Wang, Liangyu Chen, Tong Wang, Mingang Chen, Min Zhang |
| 2021 | An Efficient and Low-Cost FPGAs-Accelerated CNN-Based Edge Intelligent Garbage Classification System on ZYNQ. Wenjie Wang, Minghua Zhu |
| 2021 | An Emotion-aided Gender Prediction System. Chanchal Suman, Rohit Chaudhari, Sriparna Saha, Sudhir Kumar, Pushpak Bhattacharyya |
| 2021 | An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients. João Carvalho, Davide Tateo, Fabio Muratore, Jan Peters |
| 2021 | An Empirical Comparison of Quantization, Pruning and Low-rank Neural Network Compression using the LC Toolkit. Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán |
| 2021 | An Energy-Efficient SNN Processor Design based on Sparse Direct Feedback and Spike Prediction. Seunghwan Bang, Dongwoo Lew, Sunghyun Choi, Jongsun Park |
| 2021 | An Episodic Learning based Geolocation Detection Framework for Imbalanced Data. Hemeng Tao, Yang Gao, Zhuoyi Wang, Latifur Khan, Bhavani Thuraisingham |
| 2021 | An Image Captioning Approach Using Dynamical Attention. Changzhi Wang, Xiaodong Gu |
| 2021 | An Improved Ant Colony Algorithm for UAV Path Planning in Uncertain Environment. Yizhuo Rao, Jianjun Cao, Zhixian Zeng, Chengyuan Duan, Xiao Wei |
| 2021 | An Improved Dense V-Network for Fast and Precise Segmentation of Left Atrium. Asma Kausar, Imran Razzak, Mohd Ibrahim Shapiai, Riyad Alshammari |
| 2021 | An Interactive Evolution Strategy based Deep Convolutional Generative Adversarial Network for 2D Video Game Level Procedural Content Generation. Ming Jiang, Li Zhang |
| 2021 | An Intrusion Detection System based on PSO-GWO Hybrid Optimized Support Vector Machine. Kexin Li, Yong Zhang, Shuai Wang |
| 2021 | An Investigation of Replay-based Approaches for Continual Learning. Benedikt Bagus, Alexander Gepperth |
| 2021 | An SNN-Based and Neuromorphic-Hardware-Implementable Noise Filter with Self-adaptive Time Window for Event-Based Vision Sensor. Kanglin Xiao, Xiaoxin Cui, Kefei Liu, Xiaole Cui, Xin'an Wang |
| 2021 | An Unsupervised Domain Adaptation Being Aware of Domain-specific and Label Information. Yuhong Zhang, Qi Zhang |
| 2021 | An efficient image to column algorithm for convolutional neural networks. Chunye Gong, Xinhai Chen, Shuling Lv, Jie Liu, Bo Yang, Qinglin Wang, Weimin Bao, Yufei Pang, Yang Sun |
| 2021 | An efficient lightweight deep neural network for real-time object 6D pose estimation with RGB-D inputs. Yu Liang, Fan Chen, Guoyuan Liang, Xinyu Wu, Wei Feng |
| 2021 | Analysis of Technical, Economic and Social Information Features to Predict the Bitcoin Price Direction for Day-Trade Operations. Dennys C. A. Mallqui, Ricardo A. S. Fernandes |
| 2021 | Analysis of Trainability of Gradient-based Multi -environment Learning from Gradient Norm Regularization Perspective. Shiro Takagi, Yoshihiro Nagano, Yuki Yoshida, Masato Okada |
| 2021 | AnchiBERT: A Pre-Trained Model for Ancient Chinese Language Understanding and Generation. Huishuang Tian, Kexin Yang, Dayiheng Liu, Jiancheng Lv |
| 2021 | Angular Triplet Loss-based Camera Network for ReID. Yitian Li, Ruini Xue, Mengmeng Zhu, Jing Xu, Zenglin Xu |
| 2021 | Annealing Attention Networks for User Feature-Based Rumor Early Detection on Weibo. Zhengwu Luo, Lina Wang, Wenqi Wang, Aoshuang Ye |
| 2021 | Anomaly Detection in X-ray Security Imaging: a Tensor-Based Learning Approach. Mohamad Naji, Ali Anaissi, Ali Braytee, Madhu Goyal |
| 2021 | Anomaly Detection using Distributed Log Data: A Lightweight Federated Learning Approach. Yalan Guo, Yulei Wu, Yanchao Zhu, Bingqiang Yang, Chunjing Han |
| 2021 | Anomaly Removal for Vehicle Energy Consumption in Federated Learning. Guanyu Lin, Xinghua Zhu, Jianzong Wang, Jing Xiao |
| 2021 | Approaching authorship attribution as a multi-view supervised learning task. Luís Gonçalves, Renato Vimieiro |
| 2021 | Approximating Aggregated SQL Queries with LSTM Networks. Nir Regev, Lior Rokach, Asaf Shabtai |
| 2021 | Are Coverage Criteria Meaningful Metrics for DNNs? Weidi Sun, Yuteng Lu, Meng Sun |
| 2021 | Artificial Neural Networks as Feature Extractors in Continuous Evolutionary Optimization. Stephen Friess, Peter Tiño, Zhao Xu, Stefan Menzel, Bernhard Sendhoff, Xin Yao |
| 2021 | Aspect-Based Sentiment Classification with Background Information and Syntactic Auxiliary Tasks. Ming-Fan Li, Kaijie Zhou, Xuan Li, Jianping Shen |
| 2021 | Assisting the Adversary to Improve GAN Training. Andreas Munk, William Harvey, Frank Wood |
| 2021 | Asynchronous Decentralized Learning of Randomization-Based Neural Networks. Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee |
| 2021 | Attack-Guided Efficient Robustness Verification of ReLU Neural Networks. Yiwei Zhu, Feng Wang, Wenjie Wan, Min Zhang |
| 2021 | Attention Based Double Layer LSTM for Chinese Image Captioning. Wei Wu, Deshuai Sun |
| 2021 | Attention and Adaptive Bilinear Matching Network for Cross-Domain Few-Shot Defect Classification of Industrial Parts. Liangbing Sa, Chongchong Yu, Ziyan Chen, Xia Zhao, Yafeng Yang |
| 2021 | Attention-Based Graph Neural Network for News Recommendation. Zhenyan Ji, Mengdan Wu, Jirui Liu, José Enrique Armendáriz-Iñigo |
| 2021 | Attention-Based Multi-Filter Convolutional Neural Network for Inappropriate Speech Detection. Shu-Yu Lin, Yi-Ling Chen |
| 2021 | Attention-based LSTM for Motion Switching Detection of Particles in Living Cells. Bo You, Ge Yang |
| 2021 | Attention-based Multi-proximity Preserved Attributed Network Embedding. Xing-Xing Liu, Kai Wang, Chang-Dong Wang, Ling Huang |
| 2021 | Attention-based Seq2seq Regularisation for Relation Extraction. Haojie Huang, Raymond K. Wong |
| 2021 | Attention-based Spatio-Temporal Graphic LSTM for EEG Emotion Recognition. Xiaoxu Li, Wenming Zheng, Yuan Zong, Hongli Chang, Cheng Lu |
| 2021 | Attention-guided Progressive Partition Network for Human Parsing. Xi Huang, Chengkun He, Jie Shao |
| 2021 | Attentional Social Recommendation System with Graph Convolutional Network. Yanbin Jiang, Huifang Ma, Yuhang Liu, Zhixin Li |
| 2021 | Attentive Contextual Network for Image Captioning. Jeripothula Prudviraj, Chalavadi Vishnu, C. Krishna Mohan |
| 2021 | Attentive Relation Network for Object based Video Games. Hangyu Deng, Jia Luo, Jinglu Hu |
| 2021 | Attribute Centered Multimodal Response Generation in a Dialogue System. Mauajama Firdaus, Arunav Pratap Shandilya, Sthita Pragyan Pujari, Asif Ekbal |
| 2021 | Attribute Structured Knowledge Distillation. Yunxiao Wang, Tao Dai, Bin Chen, Shutao Xia |
| 2021 | Attribution Modeling for Deep Morphological Neural Networks using Saliency Maps. Muhammad Aminul Islam, Charlie T. Veal, Yashaswini Gouru, Derek T. Anderson |
| 2021 | Audience expansion based on user browsing history. Nikolaos Tziortziotis, Yang Qiu, Martial Hue, Michalis Vazirgiannis |
| 2021 | Audio DistilBERT: A Distilled Audio BERT for Speech Representation Learning. Fan Yu, Jiawei Guo, Wei Xi, Zhao Yang, Rui Jiang, Chao Zhang |
| 2021 | Audio-Visual Speech Separation with Visual Features Enhanced by Adversarial Training. Peng Zhang, Jiaming Xu, Jing Shi, Yunzhe Hao, Lei Qin, Bo Xu |
| 2021 | Augmenting Training Data for Low-Resource Neural Machine Translation via Bilingual Word Embeddings and BERT Language Modelling. Akshai Ramesh, Haque Usuf Uhana, Venkatesh Balavadhani Parthasarathy, Rejwanul Haque, Andy Way |
| 2021 | Author Name Disambiguation Using Multiple Graph Attention Networks. Zhiqiang Zhang, Chunqi Wu, Zhao Li, Juanjuan Peng, Haiyan Wu, Haiyu Song, Shengchun Deng, Biao Wang |
| 2021 | Auto-Associative Features with Non-Iterative Learning Based Technique for Image Classification. Toshi Sinha, Brijesh K. Verma |
| 2021 | AutoFuse: A Semi-supervised Autoencoder based Multi-Sensor Fusion Framework. Kriti Kumar, Saurabh Sahu, Angshul Majumdar, M. Girish Chandra |
| 2021 | Autoencoder based Randomized Learning of Feedforward Neural Networks for Regression. Grzegorz Dudek |
| 2021 | Autoencoders Without Reconstruction for Textural Anomaly Detection. Philip A. Adey, Samet Akçay, Magnus Bordewich, Toby P. Breckon |
| 2021 | Automated Graph Representation Learning for Node Classification. Junwei Sun, Bai Wang, Bin Wu |
| 2021 | Automated Hyper-Parameter Tuning of a Mask R-CNN for Quantifying Common Rust Severity in Maize. Mia Gerber, Nelishia Pillay, Katerina Holan, Steven A. Whitham, Dave K. Berger |
| 2021 | Automated Threat Objects Detection with Synthetic Data for Real-Time X-ray Baggage Inspection. Kunal Chaturvedi, Ali Braytee, Dinesh Kumar Vishwakarma, Muhammad Saqib, Domingo Mery, Mukesh Prasad |
| 2021 | Automated detection of COVID-19 on a small dataset of chest CT images using metric learning. Shipra Madan, Santanu Chaudhury, Tapan Kumar Gandhi |
| 2021 | Automatic CNN Compression Based on Hyper-parameter Learning. Nannan Tian, Yong Liu, Weiping Wang, Dan Meng |
| 2021 | Automatic Cataract Detection with Multi-Task Learning. Hongjie Wu, Jiancheng Lv, Jian Wang |
| 2021 | Automatic Classification of Vulnerabilities using Deep Learning and Machine Learning Algorithms. Vishnu Ramesh, Sara Abraham, P. Vinod, Isham Mohamed, Corrado Aaron Visaggio, Sonia Laudanna |
| 2021 | Automatic Detection of Violence in Video Scenes. Ahmed Abo Eitta, Toka Barabash, Yousef Nafea, Walid Gomaa |
| 2021 | Automatic Joint Optimization of Algorithm-Level Compression and Compiler-Based Acceleration with Reinforcement Learning for DNN in Edge Devices. Jie Liu, Jianzong Wang, Xiaoyang Qu, Bo Chen, Zihang Wei, Jing Xiao |
| 2021 | Automatic Sleep Stage Identification with Time Distributed Convolutional Neural Network. Micheal Dutt, Morten Goodwin, Christian W. Omlin |
| 2021 | Automatic Topic Labeling model with Paired-Attention based on Pre-trained Deep Neural Network. Dongbin He, Yan-zhao Ren, Abdul Mateen Khattak, Xinliang Liu, Sha Tao, Wanlin Gao |
| 2021 | Automatic optimization method for EAST-NBI beam extraction experiment parameters based on neural network. Jinxin Wang, Zhimin Liu, Na Wang, Yuanzhe Zhao, Yahong Xie, Yuanlai Xie |
| 2021 | Autonomous Deep Quality Monitoring in Streaming Environments. Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Edward Kien Yee Yapp |
| 2021 | BCQ4DCA: Budget Constrained Deep Q-Network for Dynamic Campaign Allocation in Computational Advertising. Manasi Malik, Garima Gupta, Lovekesh Vig, Gautam Shroff |
| 2021 | BDFPN: Bi-Direction Feature Pyramid Network for Scene Text Detection. Hailin Shao, Yi Ji, Ying Li, Chunping Liu |
| 2021 | BGADAM: Boosting based Genetic-Evolutionary ADAM for Neural Network Optimization. Jiyang Bai, Yuxiang Ren, Jiawei Zhang |
| 2021 | BTGAN: Training GAN with Balanced Triplet Loss and Two-Branch Architecture. Simin Yu, Kuntian Zhang, Chuan Xiao, Xianyu Bao, Joshua Zhexue Huang, Mark Junjie Li |
| 2021 | BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation. Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi, Noboru Harada, Kunio Kashino |
| 2021 | Bag of Tricks for Chinese Named Entity Recognition. Yao Xiao, Jingbo Peng, Luoyi Fu, Haisong Zhang |
| 2021 | Balance the Labels: Hierarchical Label Structured Network for Dialogue Act Recognition. Dong Wang, Ziran Li, Dongming Sheng, Hai-Tao Zheng, Ying Shen |
| 2021 | Batch Normalization Assisted Adversarial Pruning: Towards Lightweight, Sparse and Robust Models. Xiao Wei, Yao Zhu, Shu-Tao Xia |
| 2021 | Batch Part-mask Network for person re-identification. Songyu Chang, Canlong Zhang, Zhixin Li |
| 2021 | Bayesian Bidirectional Backpropagation Learning. Olaoluwa Adigun, Bart Kosko |
| 2021 | Bayesian Optimization with Particle Swarm. Yaru Li, Yulai Zhang, Gongxue Zhou, Yifei Gong |
| 2021 | Beating White-Box Defenses with Black-Box Attacks. Vera Kumová, Martin Pilát |
| 2021 | Benchmark Datasets for Stochastic Petri Net Learning. Mingjian Guang, Chungang Yan, Junli Wang, Hongda Qi, Changjun Jiang |
| 2021 | Benchmarking Inference Performance of Deep Learning Models on Analog Devices. Omobayode Fagbohungbe, Lijun Qian |
| 2021 | Better Learning and Fusing Multi-Granularity Context Representations for Relevant Response Generation. Jiao Ou, Yang Feng |
| 2021 | Bi-Adversarial Discrepancy Minimization for Unsupervised Domain Adaptation on 3D Point Cloud. Haoran Tang, Changwei Xu, Jianfei Yang |
| 2021 | Bi-encoder Network with Structure-texture Consistency for Image Inpainting. Chujun Qin, Zhilin Huang, Ruixin Liu, Zhenyu Weng, Yuesheng Zhu |
| 2021 | BiLSTM Embedding Pretraining for Relation Extraction. Haojie Huang, Raymond K. Wong |
| 2021 | BigyaPAn: Deep Analysis of Old Paper Advertisement. Chandranath Adak, Xian Tao |
| 2021 | Bilateral Autotrading Framework for Stock Prediction. Qifei Zhou, Hucheng Liu, Weiping Li, Tong Mo, Bo Wu |
| 2021 | Bilateral-brain-like Semantic and Syntactic Cognitive Network for Aspect-level Sentiment Analysis. Jinpeng Chen, Zuohua Huang, Yun Xue |
| 2021 | Bilevel Continual Learning. Ammar Shaker, Francesco Alesiani, Shujian Yu, Wenzhe Yin |
| 2021 | Bilingual Self-Attention Network: Generating Headlines for Online Linguistic Questions. Mingchao Li, Haozhuang Liu, Yang Wang, Hai-Tao Zheng |
| 2021 | BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning. Kamil Deja, Pawel Wawrzynski, Daniel Marczak, Wojciech Masarczyk, Tomasz Trzcinski |
| 2021 | Binary MOGWO Based On Competition and Teaching for Computationally Complex Engineering Applications. Xia Yuan, Jian Dong, Meng Wang |
| 2021 | Bio-inspired Model Based on Global-Local Hybrid Learning in Spiking Neural Network. Yuchen Wang, Xiaobin Wang, Hong Qu, Ya Zhang, Yi Chen, Xiaoling Luo |
| 2021 | BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition. Usman Naseem, Matloob Khushi, Vinay Reddy, Sakthivel Rajendran, Imran Razzak, Jinman Kim |
| 2021 | Bioinspired Contrast Vision Computation for Robust Motion Estimation Against Natural Signals. Qinbing Fu, Jigen Peng, Shigang Yue |
| 2021 | Boilerplate Detection via Semantic Classification of TextBlocks. Hao Zhang, Jie Wang |
| 2021 | Bolstering Adversarial Robustness with Latent Disparity Regularization. David M. Schwartz, Gregory Ditzler |
| 2021 | Boost Transformer with BERT and copying mechanism for ASR error correction. Wenkun Li, Hui Di, Lina Wang, Kazushige Ouchi, Jing Lu |
| 2021 | Boosting Emotion Recognition in Context using Non-target Subject Information. Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood |
| 2021 | Born-Again Decision Boundary: Unsupervised Concept Drift Detection by Inspector Neural Network. Hiroaki Kingetsu, Kenichi Kobayashi |
| 2021 | Brain Tumor Segmentation based on Knowledge Distillation and Adversarial Training. Yaqing Hou, Tianbo Li, Qiang Zhang, Hua Yu, Hongwei Ge |
| 2021 | Bridging the Gap of Dimensions in Distillation: Understanding the knowledge transfer between different-dimensional semantic spaces. Zhiyuan Ma, Ziyue Song, Haodong Zhao, Kui Meng, Gongshen Liu |
| 2021 | CACnet: Cube Attentional CNN for Automatic Speech Recognition. Nan Zhang, Jianzong Wang, Wenqi Wei, Xiaoyang Qu, Ning Cheng, Jing Xiao |
| 2021 | CANs: Coupled-Attention Networks for Sarcasm Detection on Social Media. Xuan Zhao, Jimmy X. Huang, Haitian Yang |
| 2021 | CAP-GAN: Towards Adversarial Robustness with Cycle-consistent Attentional Purification. Mingu Kang, Trung Quang Tran, Seung Ju Cho, Daeyoung Kim |
| 2021 | CAQ: Context-Aware Quantization via Reinforcement Learning. Zhijun Tu, Jian Ma, Tian Xia, Wenzhe Zhao, Pengju Ren, Nanning Zheng |
| 2021 | CM-Net: a point cloud upsampling network based on adversarial neural network. Xiaomeng Li, Chung-Ming Own, Kaizhen Wu, Qian Sun |
| 2021 | CMVCG: Non-autoregressive Conditional Masked Live Video Comments Generation Model. Zehua Zeng, Chenyang Tu, Neng Gao, Cong Xue, Cunqing Ma, Yiwei Shan |
| 2021 | CNN-LSTM Network Based Prediction of Human Joint Angles Using Multi-Band SEMG and Historical Angles. Yuze Jiao, Weiqun Wang, Zeng-Guang Hou, Shixin Ren, Jiaxing Wang, Weiguo Shi, Zhijie Fang, Xu Liang |
| 2021 | COPS: Controlled Pruning Before Training Starts. Paul Wimmer, Jens Mehnert, Alexandru Condurache |
| 2021 | CSAFL: A Clustered Semi-Asynchronous Federated Learning Framework. Yu Zhang, Moming Duan, Duo Liu, Li Li, Ao Ren, Xianzhang Chen, Yujuan Tan, Chengliang Wang |
| 2021 | CSMOUTE: Combined Synthetic Oversampling and Undersampling Technique for Imbalanced Data Classification. Michal Koziarski |
| 2021 | CSRDNN: An Integrated Scheme for Single Satellite Image Colorization and Super-Resolution Using Deep Neural Networks. Jia-Nan Feng, Qian Jiang, Xin Jin, Ching-Hsun Tseng, Shin-Jye Lee, Shaowen Yao |
| 2021 | CVA-GNN: Convolutional Vicinity Aggregation Graph Neural Network for Point Cloud Classification. Jakub Walczak, Patryk Najgebauer, Rafal Scherer, Adam Wojciechowski |
| 2021 | Cal-Net: Jointly Learning Classification and Calibration On Imbalanced Binary Classification Tasks. Arghya Datta, Noah R. Flynn, S. Joshua Swamidass |
| 2021 | Camera Bias in a Fine Grained Classification Task. Philip T. G. Jackson, Stephen Bonner, Ning Jia, Christopher J. Holder, Jonathan Stonehouse, Boguslaw Obara |
| 2021 | Canvas GAN: Bootstrapped Image-Conditional Models. Matthew Amodio, Smita Krishnaswamy |
| 2021 | CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor. Alberto Viale, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique |
| 2021 | Cascade Network with Boundary-Adaptive Filter for Surgical Gesture Recognition. |
| 2021 | Cascaded Hierarchical Context-Aware Vehicle Re-Identification. Wancheng Mo, Jianming Lv |
| 2021 | Causal and Non-causal Training: A Dynamic Gap-complementary Generative Framework for Session-based Recommendation. Ruoran Huang, Chuanqi Han, Li Cui |
| 2021 | CcGL-GAN: Criss-Cross Attention and Global-Local Discriminator Generative Adversarial Networks for text-to-image synthesis. Xihong Ye, Lu Lu |
| 2021 | CellNet: An Improved Neural Architecture Search Method for Coal and Gangue Classification. Lirong Sun, Wenbo Zhu, Qinghua Lu, Aiyuan Li, Lufeng Luo, Jianwen Chen, Jinhai Wang |
| 2021 | Channel Hourglass Residual Network For Single Image Super-Resolution. Fangwei Hao, Xindi Ma, Taiping Zhang, Yuanyan Tang |
| 2021 | Channel Interaction with Local Enhancement for Few-Shot Semantic Segmentation. Jie Gao, Xiaoliu Luo, Taiping Zhang |
| 2021 | Channel Pruning via Multi-Criteria based on Weight Dependency. Yangchun Yan, Rongzuo Guo, Chao Li, Kang Yang, Yongjun Xu |
| 2021 | Chinese Event Argument Classification via Discourse-Level Graph Convolutional Network. Min Chen, Zhongqing Wang, Peifeng Li, Qiaoming Zhu |
| 2021 | Chinese Semantic Matching with Multi-granularity Alignment and Feature Fusion. Pengyu Zhao, Wenpeng Lu, Yifeng Li, Jiguo Yu, Ping Jian, Xu Zhang |
| 2021 | Class Equilibrium using Coulomb's Law. Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh |
| 2021 | Class-Decomposition and Augmentation for Imbalanced Data Sentiment Analysis. Carlos Francisco Moreno-García, Chrisina Jayne, Eyad Elyan |
| 2021 | Class-Specific Affinity based Weakly Supervised Semantic Segmentation with Neutral Region Exploration. Keke Chen, Patrick P. K. Chan, Tianyi Xiang, Natasha Kees, Daniel S. Yeung |
| 2021 | Classifier learning from difficult data on the example of missing features. Piotr Porwik, Tomasz Orczyk, Rafal Doroz |
| 2021 | Classifying Code Commits with Convolutional Neural Networks. Na Meng, Zijian Jiang, Hao Zhong |
| 2021 | Classifying vaccine sentiment tweets by modelling domain-specific representation and commonsense knowledge into context-aware attentive GRU. Usman Naseem, Matloob Khushi, Jinman Kim, Adam G. Dunn |
| 2021 | Clickbait Detection in Telugu: Overcoming NLP Challenges in Resource-Poor Languages using Benchmarked Techniques. Mounika Marreddy, Subba Reddy Oota, Lakshmi Sireesha Vakada, Venkata Charan Chinni, Radhika Mamidi |
| 2021 | Clinical trajectories estimated from bulk tumoral molecular profiles using elastic principal trees. Alexander Chervov, Andrei Yu. Zinovyev |
| 2021 | Closer Look at the Uncertainty Estimation in Semantic Segmentation under Distributional Shift. Sebastian Cygert, Bartlomiej Wróblewski, Karol Wozniak, Radoslaw Slowinski, Andrzej Czyzewski |
| 2021 | Co-Trained Random Vector Functional Link Network. M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan |
| 2021 | Cognitive Radio Spectrum Sensing and Prediction Using Deep Reinforcement Learning. Syed Qaisar Jalil, Stephan K. Chalup, Mubashir Husain Rehmani |
| 2021 | Collaborative Exploration and Reinforcement Learning between Heterogeneously Skilled Agents in Environments with Sparse Rewards. Alain Andres, Esther Villar-Rodriguez, Aritz D. Martinez, Javier Del Ser |
| 2021 | Collaborative Regularization for Bidirectional Domain Mapping. Jen-Tzung Chien, Wei-Hsiang Chang |
| 2021 | Columba: A New Approach to Train an Agent for Autonomous Driving. Ruiyang Yang, Hongyin Tang, Beihong Jin, Kunchi Liu |
| 2021 | Combating False Negatives in Adversarial Imitation Learning. Konrad Zolna, Chitwan Saharia, Léonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio |
| 2021 | Combating Word-level Adversarial Text with Robust Adversarial Training. Xiaohu Du, Jie Yu, Shasha Li, Zibo Yi, Hai Liu, Jun Ma |
| 2021 | Combining uniform manifold approximation with localized affine shadowsampling improves classification of imbalanced datasets. Saptarshi Bej, Prashant Srivastava, Markus Wolfien, Olaf Wolkenhauer |
| 2021 | Committee of NAS-based models. Bruno Silva Sette, Lucas Cardoso Silva, Fernando Rezende Zagatti, Lucas Nildaimon dos Santos Silva, Daniel Lucrédio, Helena de Medeiros Caseli, Diego Furtado Silva |
| 2021 | Communication-Memory-Efficient Decentralized Learning For Audio Representation. Leilai Li, Jianzong Wang, Xiaoyang Qu, Jing Xiao |
| 2021 | Comparative Analysis of Machine Learning Techniques for Island Heightmap Generation. Dimitri Demergis |
| 2021 | Comparative Study on Quantization-Aware Training of Memristor Crossbars for Reducing Inference Power of Neural Networks at The Edge. Tien Van Nguyen, Jiyong An, Kyeong-Sik Min |
| 2021 | Compare Network with Task-dependent Embeddings for Few-shot Learning. Lingwei Chen, Ronghua Luo, Defu Zhang |
| 2021 | Comparison of Atom Representations in Graph Neural Networks for Molecular Property Prediction. Agnieszka Pocha, Tomasz Danel, Sabina Podlewska, Jacek Tabor, Lukasz Maziarka |
| 2021 | Complementary Feature Pyramid Network for Human Pose Estimation. Yanhao Cheng, Weibin Liu, Weiwei Xing |
| 2021 | Complex Encoding. Kassymzhomart Kunanbayev, Islambek Temirbek, Amin Zollanvari |
| 2021 | Complex Network Measures for Data Classification. Murillo G. Carneiro, Barbara C. Gama, Otavio S. Ribeiro |
| 2021 | Comprehensible Convolutional Neural Networks via Guided Concept Learning. Sandareka Wickramanayake, Wynne Hsu, Mong-Li Lee |
| 2021 | Compressed Superposition of Neural Networks for Deep Learning in Edge Computing. Marko Zeman, Evgeny Osipov, Zoran Bosnic |
| 2021 | Compressing Deep Neural Network: A Black-Box System Identification Approach. Ishan Sahu, Arpan Pal, Arijit Ukil, Angshul Majumdar |
| 2021 | Computational Intelligence Techniques Applied to a Preliminary Exploration of Climatic Traits using Meteosat Water Vapor Images. Julio J. Valdés, Antonio Pou |
| 2021 | Concept Drift Detection via Boundary Shrinking. Yoshihiro Okawa, Kenichi Kobayashi |
| 2021 | Concept Matching for Low-Resource Classification. Federico Errica, Fabrizio Silvestri, Bora Edizel, Ludovic Denoyer, Fabio Petroni, Vassilis Plachouras, Sebastian Riedel |
| 2021 | Concept-based Topic Attention for a Convolutional Sequence Document Summarization Model. Shirin Akther Khanam, Fei Liu, Yi-Ping Phoebe Chen |
| 2021 | Condensed Composite Memory Continual Learning. Felix Wiewel, Bin Yang |
| 2021 | Conduction delay plasticity can robustly learn spatiotemporal patterns embedded in noise. Joshua Arnold, Peter Stratton, Janet Wiles |
| 2021 | Confident Interpretations of Black Box Classifiers. Nedeljko Radulovic, Albert Bifet, Fabian M. Suchanek |
| 2021 | Consensus Clustering With Unsupervised Representation Learning. Jayanth Reddy Regatti, Aniket Anand Deshmukh, Eren Manavoglu, Ürün Dogan |
| 2021 | Constraining Logits by Bounded Function for Adversarial Robustness. Sekitoshi Kanai, Masanori Yamada, Shin'ya Yamaguchi, Hiroshi Takahashi, Yasutoshi Ida |
| 2021 | Constraint-Guided Reinforcement Learning: Augmenting the Agent-Environment-Interaction. Helge Spieker |
| 2021 | Construction Cost Index Prediction: A Visibility Graph Network Method. Shengzhong Mao, Ching-Hsun Tseng, Jiayu Shang, Yuping Wu, Xiao-Jun Zeng |
| 2021 | Context and Knowledge Enriched Transformer Framework for Emotion Recognition in Conversations. Soumitra Ghosh, Deeksha Varshney, Asif Ekbal, Pushpak Bhattacharyya |
| 2021 | Context encoder self-supervised approaches for eye fundus analysis. Daniel I. Morís, Álvaro S. Hervella, José Rouco, Jorge Novo, Marcos Ortega |
| 2021 | Context-Aware Based Visual-Audio Feature Fusion for Emotion Recognition. Huijie Cheng, Yun Tie, Lin Qi, Cong Jin |
| 2021 | Continual Correction of Errors Using Smart Memory Replay. Callum Cory, Diana Benavides Prado, Yun Sing Koh |
| 2021 | Continuous Decoding of Daily-Life Hand Movements from Forearm Muscle Activity for Enhanced Myoelectric Control of Hand Prostheses. Alessandro Salatiello, Martin A. Giese |
| 2021 | Continuous Sign Language Recognition based on Multi-Part Skeleton Data. Zhuocheng Wang, Jingqiao Zhang |
| 2021 | Contrastive Learning for improving End-to-end Speaker Verification. Yanxi Tang, Jianzong Wang, Xiaoyang Qu, Jing Xiao |
| 2021 | Controlling the Noise Robustness of End-to-End Automatic Speech Recognition Systems. Matthias Möller, Johannes Twiefel, Cornelius Weber, Stefan Wermter |
| 2021 | Convolutional Normalizing Flows for Deep Gaussian Processes. Haibin Yu, Dapeng Liu, Bryan Kian Hsiang Low, Patrick Jaillet |
| 2021 | Coresets Application in Channel Pruning for Fast Neural Network Slimming. Wenfeng Yin, Gang Dong, Yaqian Zhao, Rengang Li |
| 2021 | Cost Effective Annotation Framework Using Zero-Shot Text Classification. Buddhika Kasthuriarachchy, Madhu Chetty, Adrian Shatte, Darren Walls |
| 2021 | Cost-Effective Knowledge Graph Reasoning for Complex Factoid Questions. Xia Yang, Meng-Fen Chiang, Wang-Chien Lee, Yi Chang |
| 2021 | Costly Features Classification using Monte Carlo Tree Search. Ziheng Chen, Jin Huang, Hongshik Ahn, Xin Ning |
| 2021 | Critic Boosting Attention Network on Local Descriptor for Few-shot Learning. Chengzhang Shi, Chung-Ming Own, Ching-Chih Chou, Bailu Guo |
| 2021 | Cross-Architecture Intemet-of-Things Malware Detection Based on Graph Neural Network. Chuangfeng Li, Guangming Shen, Wei Sun |
| 2021 | Cross-Modal Music-Video Recommendation: A Study of Design Choices. Laure Prétet, Gaël Richard, Geoffroy Peeters |
| 2021 | Cross-Network Community Sensing for Anchor Link Prediction. Lintao Lan, Huailiang Peng, Chaodong Tong, Xu Bai, Qiong Dai |
| 2021 | Cross-sentence Neural Language Models for Conversational Speech Recognition. Shih-Hsuan Chiu, Tien-Hong Lo, Berlin Chen |
| 2021 | CtnR: Compress-then-Reconstruct Approach for Multimodal Abstractive Summarization. Chenxi Zhang, Zijian Zhang, Jiangfeng Li, Qin Liu, Hongming Zhu |
| 2021 | Curse of Dimensionality for TSK Fuzzy Neural Networks: Explanation and Solutions. Yuqi Cui, Dongrui Wu, Yifan Xu |
| 2021 | Cursor-based Adaptive Quantization for Deep Convolutional Neural Network. Baopu Li, Yanwen Fan, Zhihong Pan, Zhiyu Cheng, Gang Zhang |
| 2021 | Curvilinear Collaborative Metric Learning with Macro-micro Attentions. Hangbin Zhang, Raymond K. Wong, Victor W. Chu |
| 2021 | CyCo: A Temporal Cycle Consistency Based Labeling Method for Time Series Data. Fengrui Liu, Haiyang Jiang, Zulong Diao, Yanbiao Li, Gaogang Xie |
| 2021 | D2Defend: Dual-Domain based Defense against Adversarial Examples. Xin Yan, YanJie Li, Tao Dai, Yang Bai, Shu-Tao Xia |
| 2021 | DAAB: Deep Authorship Attribution in Bengali. Atish Kumar Dipongkor, Md. Saiful Islam, Humayun Kayesh, Md. Shafaeat Hossain, Adnan Anwar, Khandaker Abir Rahman, Imran Razzak |
| 2021 | DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension. Jiaqi Li, Ming Liu, Zihao Zheng, Heng Zhang, Bing Qin, Min-Yen Kan, Ting Liu |
| 2021 | DCA-CLA: A scRNA-seq Classification Framework based on Deep Count Autoencoder. Yulun Wu, Yanming Guo, Jian Li, Songyang Lao, Jinlin Guo, Haoran Wang |
| 2021 | DCEN: A Decoupled Context Enhanced Network For Few-shot Slot Tagging. Youliang Yuan, Jiaxin Pan, Xu Jia, Luchen Liu, Min Peng |
| 2021 | DCT-based Fast Spectral Convolution for Deep Convolutional Neural Networks. Yuhao Xu, Hideki Nakayama |
| 2021 | DEN-DQL: Quick Convergent Deep Q-Learning with Double Exploration Networks for News Recommendation. Zhanghan Song, Dian Zhang, Xiaochuan Shi, Wei Li, Chao Ma, Libing Wu |
| 2021 | DRDF: A Deceptive Review Detection Framework of Combining Word-Level, Chunk-Level, And Sentence-Level Topic-Sentiment Models. Xiaodong Du, Fuqiang Zhao, Zhengyu Zhu, Ping Han |
| 2021 | DS-TAGCN: A Dual-Stream Topology Attentive GCN for Node Classification in Dynamic Graphs. Jinteng Ruan, Haopeng Chen, Ziming Wang, Shuyu Chen |
| 2021 | DSMN: A Personalized Information Retrieval Algorithm Based on Improved DSSM. Weifeng Sun, Lijun Zhang, Kangkang Chang, Shumiao Yu |
| 2021 | DSP-Net: Dense-to-Sparse Proposal Generation Approach for 3D Object Detection on Point Cloud. Xinrui Yan, Yuhao Huang, Shitao Chen, Zhixiong Nan, Jingmin Xin, Nanning Zheng |
| 2021 | DTGAN: Dual Attention Generative Adversarial Networks for Text-to-Image Generation. Zhenxing Zhang, Lambert Schomaker |
| 2021 | DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks. Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique |
| 2021 | DWG-Reg: Deep Weight Global Registration. Biao Li, Qixing Xie, Shaoyi Du, Wenting Cui, Runzhao Yao, Yang Yang, Jing Yang, Lin Wang |
| 2021 | Data Uncertainty Guided Noise-aware Preprocessing Of Fingerprints. Indu Joshi, Ayush Utkarsh, Riya Kothari, Vinod K. Kurmi, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra |
| 2021 | Data-driven Full-waveform Inversion Surrogate using Conditional Generative Adversarial Networks. Marcus Saraiva, Avelino Forechi, Jorcy de Oliveira Neto, Antonio DelRey, Thomas Rauber |
| 2021 | Debiased Prototype Network for Adversarial Domain Adaptation. Chunwei Wu, Guitao Cao, Wenming Cao, Hong Wang, He Ren |
| 2021 | Deblur-YOLO: Real-Time Object Detection with Efficient Blind Motion Deblurring. Shen Zheng, Yuxiong Wu, Shiyu Jiang, Changjie Lu, Gaurav Gupta |
| 2021 | Deciphering the contributions of episodic and working memories in increasingly complex decision tasks. Snigdha Dagar, Frédéric Alexandre, Nicolas P. Rougier |
| 2021 | Decoding Subjective Creativity Skill from Visuo-Spatial Reasoning Ability Using Capsule Graph Neural Network. Sayantani Ghosh, Amit Konar, Atulya K. Nagar |
| 2021 | DeeSCVHunter: A Deep Learning-Based Framework for Smart Contract Vulnerability Detection. Xingxin Yu, Haoyue Zhao, Botao Hou, Zonghao Ying, Bin Wu |
| 2021 | Deep Active Learning with Relative Label Feedback: An Application to Facial Age Estimation. Ankita Singh, Shayok Chakraborty |
| 2021 | Deep Clustering using Dirichlet Process Gaussian Mixture. Kart-Leong Lim |
| 2021 | Deep Content Guidance Network for Arbitrary Style Transfer. Dibo Shi, Huan Xie, Yi Ji, Ying Li, Chunping Liu |
| 2021 | Deep Convolutional Neural Networks based on Manifold for Smoke Recognition. Ming Cheng, Pei Ma, Ruhan He, Jia Chen, Zili Zhang, Jin Huang |
| 2021 | Deep Embedded Clustering of Urban Communities Using Federated Learning. Afra Mashhadi, Joshua Sterner, Jeffrey Murray |
| 2021 | Deep Learning Post-Earnings-Announcement Drift. Zhengxin Joseph Ye, Björn W. Schuller |
| 2021 | Deep Learning and Low-discrepancy Sampling for Surrogate Modeling with an Application to Urban Traffic Simulation. Cristiano Cervellera, Danilo Macciò, Francesco Rebora |
| 2021 | Deep Learning based Automatic Modulation Classification Exploiting the Frequency and Spatiotemporal Domain of Signals. Bingyang Li, Wen Wang, Xiaofei Zhang, Meng Zhang |
| 2021 | Deep Multi-View Learning for Tire Recommendation. Thomas Ranvier, Khalid Benabdeslem, Kilian Bourhis, Bruno Canitia |
| 2021 | Deep Neural Network Model based on One-Stage Detector for Identifying Fundus Lesions. Carlos Santos, Marilton Sanchotene de Aguiar, Daniel Welfer, Bruno Belloni |
| 2021 | Deep Neural Networks Ensemble for Lung Nodule Detection on Chest CT Scans. Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile |
| 2021 | Deep Personalized Glucose Level Forecasting Using Attention-based Recurrent Neural Networks. Mohammadreza Armandpour, Brian Kidd, Yu Du, Jianhua Z. Huang |
| 2021 | Deep RNN with Pseudo Loss Objective for Forecasting Stop-over Decisions of Wild Migratory Birds. Kehinde Owoeye |
| 2021 | Deep Recurrent Interpolation Networks for Anomalous Sound Detection. Robert Müller, Steffen Illium, Claudia Linnhoff-Popien |
| 2021 | Deep Recurrent Neural Networks with Attention Mechanisms for Respiratory Anomaly Classification. Conor Wall, Li Zhang, Yonghong Yu, Kamlesh Mistry |
| 2021 | Deep Reinforcement Learning Based Cost-Benefit Analysis for Hospital Capacity Planning. Salman Sadiq Shuvo, Md Rubel Ahmed, Hasan Symum, Yasin Yilmaz |
| 2021 | Deep Reinforcement Learning based Optimization of Battery Charging and Discharging Management for Data Center. Longchuan Yan, Wantao Liu, Wei Jiang, Yan Li, Ruixuan Li, Songlin Hu |
| 2021 | Deep Semi-Supervised Learning via Dynamic Anchor Graph Embedding Learning. Zihao Wang, Enmei Tu, Zhicheng Lee |
| 2021 | Deep Spiking Neural Network for High-Accuracy and Energy-Efficient Face Action Unit Recognition. Jingren Zhang, Jingjing Wang, Jingwei Yan, Chunmao Wang, Shiliang Pu |
| 2021 | Deep Successive Subspace Learning for Data Clustering. Mohammadreza Sadeghi, Narges Armanfard |
| 2021 | Deep Thompson Sampling for Length of Stay Prediction. Anísio Lacerda, Gisele L. Pappa |
| 2021 | Deep Transfer Learning Remaining Useful Life Prediction of Different Bearings. Juan Xu, Mengting Fang, Weihua Zhao, Yuqi Fan, Xu Ding |
| 2021 | Deep hierarchical reinforcement learning to manage the trade-off between sustainability and profitability in common pool resources systems. Nicolas Poiron-Guidoni, Paul-Antoine Bisgambiglia |
| 2021 | Deep learning classification of bacteria clones explained by persistence homology. Adriana Borowa, Dawid Rymarczyk, Dorota Ochonska, Monika Brzychczy-Wloch, Bartosz Zielinski |
| 2021 | Deep learning-based anomalous object detection system for panoramic cameras managed by a Jetson TX2 board. Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Gonzalo Ramos-Jiménez, Ezequiel López-Rubio |
| 2021 | Deep neural network for dynamic symbol. Yoshitsugu Kakemoto, Shinichi Nakasuka |
| 2021 | Deep-Attention Model to Analyze Reliable Customers via Federated Learning. Usman Ahmed, Jerry Chun-Wei Lin, Gautam Srivastava |
| 2021 | DeepCeNS: An end-to-end Pipeline for Cell and Nucleus Segmentation in Microscopic Images. Nabeel Khalid, Mohsin Munir, Christoffer Edlund, Timothy R. Jackson, Johan Trygg, Rickard Sjögren, Andreas Dengel, Sheraz Ahmed |
| 2021 | DeepfakeUCL: Deepfake Detection via Unsupervised Contrastive Learning. Sheldon Fung, Xuequan Lu, Chao Zhang, Chang-Tsun Li |
| 2021 | Defending against GAN-based DeepFake Attacks via Transformation-aware Adversarial Faces. Chaofei Yang, Leah Ding, Yiran Chen, Hai Li |
| 2021 | Defense against Adversarial Attacks with an Induced Class. Zhi Xu, Jun Wang, Jian Pu |
| 2021 | Demystification of Few-shot and One-shot Learning. Ivan Yu. Tyukin, Alexander N. Gorban, Muhammad H. Alkhudaydi, Qinghua Zhou |
| 2021 | DensEMANN: Building A DenseNet From Scratch, Layer by Layer and Kernel by Kernel. Antonio García Díaz, Hugues Bersini |
| 2021 | Dense Video Captioning with Hierarchical Attention-Based Encoder-Decoder Networks. Mingjing Yu, Huicheng Zheng, Zehua Liu |
| 2021 | Density-Fixing: Simple yet Effective Regularization Method based on the Class Priors. Masanari Kimura, Ryohei Izawa |
| 2021 | Density-Sorting-Based Convolutional Fuzzy Min-Max Neural Network for Image Classification. Mingxi Sun, Wei Huang, Jinsong Wang |
| 2021 | Designing a Partially Understandable Neural Network through Semantic Embedding. Chengfu Tang, Dawei Dai, Haoyue Bai, Guoyin Wang, Shuyin Xia, Feng Hu |
| 2021 | Detecting Cancerous Tissue in Mammograms Using Deep Neural Networks. Sabrina S. Panceri, Filipe Wall Mutz, Vinicius B. Cardoso, Raphael V. Carneiro, Thiago Oliveira-Santos, Claudine Badue, Alberto F. De Souza |
| 2021 | Determining Wave Height from Nearshore Videos Based on Multi-level Spatiotemporal Feature Fusion. Wei Song, Qi-Chao Li, Qi He, Xu Zhou, Yuanyuan Chen |
| 2021 | DiffAct: A Unifying Framework for Activation Functions. Snehanshu Saha, Archana Mathur, Aditya Pandey, Harshith Arun Kumar |
| 2021 | Differential Spatial Representations in Hippocampal CA1 and Subiculum Emerge in Evolved Spiking Neural Networks. Kexin Chen, Alexander B. Johnson, Eric O. Scott, Xinyun Zou, Kenneth A. De Jong, Douglas A. Nitz, Jeffrey L. Krichmar |
| 2021 | Digital Watermark Perturbation for Adversarial Examples to Fool Deep Neural Networks. Shiyu Feng, Feng Feng, Xiao Xu, Zheng Wang, Yining Hu, Lizhe Xie |
| 2021 | Disaster Image Classification Using Capsule Networks. Soudabeh Taghian Dinani, Doina Caragea |
| 2021 | Discovering an Aid Policy to Minimize Student Evasion Using Offline Reinforcement Learning. Leandro M. de Lima, Renato A. Krohling |
| 2021 | Discovering the Style Information in Texts via A Reinforced Decision Process. Wanhui Qian, Jinzhu Yang, Songlin Hu |
| 2021 | Discrete Auto-regressive Variational Attention Models for Text Modeling. Xianghong Fang, Haoli Bai, Jian Li, Zenglin Xu, Michael R. Lyu, Irwin King |
| 2021 | Disentangled-based Adversarial Network for Multiplex Network Embedding. Shimeng Zhan, Nianwen Ning, Kai Zhao, Lianwei Li, Bin Wu, Bai Wang |
| 2021 | Disentanglement based Active Learning. Adarsh Kappiyath, Silpa V. S, S. Sumitra |
| 2021 | Disk Failure Prediction with Multiple Channel Convolutional Neural Network. Jian Wu, Haiyang Yu, Zhen Yang, Ruiping Yin |
| 2021 | Distributed Emergent Agreements with Deep Reinforcement Learning. Kyrill Schmid, Robert Müller, Lenz Belzner, Johannes Tochtermann, Claudia Linnhoff-Popien |
| 2021 | Distributed Near-Optimal Consensus of Double-Integrator Multi-Agent Systems With Input Constraints. Qingyun Deng, Yinyan Zhang |
| 2021 | Distributed Volt-VAR Optimization based on Multi-Agent Deep Reinforcement Learning. Hepeng Li, Zhenhua Wang, Haibo He |
| 2021 | Distribution-based Adversarial Filter Feature Selection against Evasion Attack. Patrick P. K. Chan, Yuanchao Liang, Fei Zhang, Daniel S. Yeung |
| 2021 | Diversified Point Cloud Classification Using Personalized Federated Learning. Anshun Xue, Xinghua Zhu, Jianzong Wang, Jing Xiao |
| 2021 | Do CNNs Encode Data Augmentations? Eddie Yan, Yanping Huang |
| 2021 | Do We Really Reduce Bias for Scene Graph Generation? Haiyan Gao, Xin Tian, Yi Ji, Ying Li, Chunping Liu |
| 2021 | DoB-SNN: A New Neuron Assembly-Inspired Spiking Neural Network for Pattern Classification. Vahid Saranirad, T. M. McGinnity, Shirin Dora, Damien Coyle |
| 2021 | Domain Adaptative Semantic Segmentation by alleviating Long-tail Problem. Wei Li, Zhixin Li |
| 2021 | Domain-Aware Multiagent Reinforcement Learning in Navigation. Ifrah Saeed, Andrew C. Cullen, Sarah M. Erfani, Tansu Alpcan |
| 2021 | Driving Maneuver Detection using Features of Driver's attention and Face Shift through Deeping Learning. Song Wang, Yi Lu Murphey |
| 2021 | Drug-drug Interaction Prediction with Common Structural Patterns. Jiongmin Zhang, Xing Yang, Ying Qian |
| 2021 | Dual Convolutional Neural Network for Lung Nodule Classification. Pengxiang Shi, Wenhui Yu, Yang Liu, Zheng Qin |
| 2021 | Dual Head Adversarial Training. Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey |
| 2021 | Dual Multi-Task Network with Bridge-Temporal-Attention for Student Emotion Recognition via Classroom Video. Jun He, Li Peng, Bo Sun, Lejun Yu, Meng Guo |
| 2021 | Dual Sequential Recommendation Integrating High-order Collaborative Relations via Graph Attention Networks. Yuehong Wu, Juan Yang |
| 2021 | Dual Training for Transfer Learning: Application on Medieval Studies. Imad Eddine Ibrahim Bekkouch, Victoria Eyharabide, Frederic Billiet |
| 2021 | Dual knowledge distillation for bidirectional neural machine translation. Huaao Zhang, Shigui Qiu, Shilong Wu |
| 2021 | Dyna-PTM: OD-enhanced GCN for Metro Passenger Flow Prediction. Congjie He, Haowei Wang, Xinrui Jiang, Meng Ma, Ping Wang |
| 2021 | Dynamic Margin for Federated Learning with Imbalanced Data. Xinyu Ran, Liang Ge, Linlin Zhong |
| 2021 | Dynamic Narrowing of VAE Bottlenecks Using GECO and L0 Regularization. Cedric De Boom, Samuel Wauthier, Tim Verbelen, Bart Dhoedt |
| 2021 | Dynamic Perturbation of Weights for Improved Data Reconstruction in Unsupervised Learning. Manar D. Samad, Rahim Hossain, Khan M. Iftekharuddin |
| 2021 | Dynamic Planning Networks. Norman L. Tasfi, Miriam A. M. Capretz |
| 2021 | Dynamic Scene Deblurring Using Enhanced Feature Fusion and Multi - Distillation Mechanism. Qianyi Zhang, Zhixin Zeng, Yiming Liu, Kang Tang, Ji Wang |
| 2021 | Dynamic selection of classifiers for Content Based Image Retrieval. Safa Hamreras, Bachir Boucheham, Miguel A. Molina-Cabello, Rafaela Benítez-Rochel, Ezequiel López-Rubio |
| 2021 | Dynamic-graph-based Unsupervised Domain Adaptation. Yongjie Du, Deyun Zhou, Jiao Shi, Yu Lei, Maoguo Gong |
| 2021 | Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks. Leo Schwinn, An Nguyen, René Raab, Dario Zanca, Bjoern M. Eskofier, Daniel Tenbrinck, Martin Burger |
| 2021 | Dynamically Selected Ensemble for Data Stream Classification. Lucca Portes Cavalheiro, Alceu de Souza Britto Jr., Jean Paul Barddal, Laurent Heutte |
| 2021 | EACoupledCF: An Enhanced Attention-based Coupled Collaborative Filtering Approach for Recommendation. Feng Zhang, Xiangfu Meng, Ruimin Chai, Quangui Zhang |
| 2021 | EAR: An Enhanced Adversarial Regularization Approach against Membership Inference Attacks. Hongsheng Hu, Zoran Salcic, Gillian Dobbie, Yi Chen, Xuyun Zhang |
| 2021 | EDKE: Encoder-Decoder based Kernel Estimation for Blind Image Super-resolution. Mingyan Zhu, Tao Dai, Shu-Tao Xia, Maowei Hu |
| 2021 | EEG emotion Enhancement using Task-specific Domain Adversarial Neural Network. Ke-Ming Ding, Tsukasa Kimura, Ken-ichi Fukui, Masayuki Numao |
| 2021 | ESResNe(X)t-fbsp: Learning Robust Time-Frequency Transformation of Audio. Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel |
| 2021 | ETIV: Embedding Temporal Network via Interest Vector. Jiangting Fan, Haojie Chen, Jiaming Wu, Yong Liu, Nan Wang |
| 2021 | Edge Prior and Spatial Attention Fusion Enhanced Hierarchical Multi-Patch Network for Image Deblurring. Yafeng Zhao, Hui Cui, Binyu Zhao, Jiquan Ma |
| 2021 | Edge Sparse Basis Network: A Deep Learning Framework for EEG Source Localization. Chen Wei, Kexin Lou, Zhengyang Wang, Mingqi Zhao, Dante Mantini, Quanying Liu |
| 2021 | Efficient Adversarial Defense without Adversarial Training: A Batch Normalization Approach. Yao Zhu, Xiao Wei, Yue Zhu |
| 2021 | Efficient Parameter Based Online Object Tracking. Md. Hafizur Rahman, Samr Ali, Nizar Bouguila |
| 2021 | Efficient Resolution-preserving Network for Real-time Semantic Segmentation. Juan Zhao, Fuhao Zou, Ruixuan Li, Yufei Li, Kai Li |
| 2021 | Efficient Subgraph Pruning & Embedding for Multi-Relation QA over Knowledge Graph. Jiamin Lu, Zixuan Zhang, Xiaoqing Yang, Jun Feng |
| 2021 | Efficient Text Classification with Echo State Networks. Jérémie Cabessa, Hugo Hernault, Heechang Kim, Yves Lamonato, Yariv Z. Levy |
| 2021 | Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTM. Zahidul Islam, Mohammad Rukonuzzaman, Raiyan Ahmed, Md. Hasanul Kabir, Moshiur Farazi |
| 2021 | Efficient computation of contrastive explanations. André Artelt, Barbara Hammer |
| 2021 | Embedding Bottleneck Gated Recurrent Unit Network for Radar Signal Recognition. Yannan Wang, Guitao Cao, Danning Su, Hong Wang, He Ren |
| 2021 | Embedding Extra Knowledge and A Dependency Tree Based on A Graph Attention Network for Aspect-based Sentiment Analysis. Yuanlin Li, Xiao Sun, Meng Wang |
| 2021 | Emergence of Different Modes of Tool Use in a Reaching and Dragging Task. Khuong N. Nguyen, Yoonsuck Choe |
| 2021 | Emotion Dynamics Modeling via BERT. Haiqin Yang, Jianping Shen |
| 2021 | Emotion Recognition and Understanding Using EEG Data in A Brain-Inspired Spiking Neural Network Architecture. Wael Alzhrani, Maryam Doborjeh, Zohreh Gholami Doborjeh, Nikola K. Kasabov |
| 2021 | Emotion driven Crisis Response: A benchmark Setup for Multi-lingual Emotion Analysis in Disaster Situations. Zishan Ahmad, Asheesh Kumar, Asif Ekbal, Pushpak Bhattacharyya |
| 2021 | Employer-Employee Network for Conversational Recommendation. Zijing Yang, Xin Lin, Linlin Wang, Liang He, Yixin Chen, Zhaohui Yang |
| 2021 | End-to-End Federated Learning for Autonomous Driving Vehicles. Hongyi Zhang, Jan Bosch, Helena Holmström Olsson |
| 2021 | End-to-end speech recognition with Alignment RNN-Transducer. Ying Tian, Zerui Li, Min Liu, Kazushige Ouchi, Long Yan, Dan Zhao |
| 2021 | End-to-end spoofing speech detection and knowledge distillation under noisy conditions. Pengfei Liu, Zhenchuan Zhang, Yingchun Yang |
| 2021 | Energy-saving CNN with Clustering Channel Pruning. Nannan Tian, Yong Liu, Weiping Wang, Dan Meng |
| 2021 | Enhanced transfer learning model by image shifting on a square lattice for skin lesion malignancy assessment. Karl Thurnhofer-Hemsi, Rosa Maza-Quiroga, Enrique Domínguez, Miguel A. Molina-Cabello, Ezequiel López-Rubio |
| 2021 | Enhancing Fine-Grained Classification for Low Resolution Images. Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh |
| 2021 | Enhancing Neural Architecture Search by Upgrading Weak Components. Xiaoyang Qu, Jianzong Wang, Jie Liu, Jing Xiao |
| 2021 | Entity and Entity Type Enhanced Capsule Network for Distant Supervision Relation Extraction. Hongjun Heng, Renjie Li |
| 2021 | Entropic Out-of-Distribution Detection. David L. Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir |
| 2021 | Error-Guided Likelihood-Free MCMC. Volodimir Begy, Erich Schikuta |
| 2021 | Evaluating Efficiency and Effectiveness of Federated Learning Approaches in Knowledge Extraction Tasks. Fiammetta Marulli, Laura Verde, Stefano Marrone, Roberta Barone, Maria Stella de Biase |
| 2021 | Evaluation of Generative Adversarial Networks for Time Series Data. Hiba Arnout, Johanna Bronner, Thomas A. Runkler |
| 2021 | Event-based Timestamp Image Encoding Network for Human Action Recognition and Anticipation. Chaoxing Huang |
| 2021 | Evolutionary Generative Adversarial Networks with Crossover Based Knowledge Distillation. Junjie Li, Junwei Zhang, Xiaoyu Gong, Shuai Lü |
| 2021 | Evolutionary NAS in Light of Model Stability for Accurate Continual Learning. Xiaocong Du, Zheng Li, Jingbo Sun, Frank Liu, Yu Cao |
| 2021 | Explainable Debugger for Black-box Machine Learning Models. Peyman Rasouli, Ingrid Chieh Yu |
| 2021 | Explainable Predictions of Renal Cell Carcinoma with Interpretable Tree Ensembles from Contrast-enhanced CT Images. Fuchang Han, Shenghui Liao, Renzhong Wu, Shu Liu, Yuqian Zhao, Yu Xie |
| 2021 | Exploit a Multi-head Reference Graph for Semi-supervised Relation Extraction. Wanli Li, Tieyun Qian, Xu Chen, Kejian Tang, Shaohui Zhan, Tao Zhan |
| 2021 | Exploiting transient dynamics of a time-multiplexed reservoir to boost the system performance. Mirko Goldmann, Claudio R. Mirasso, Ingo Fischer, Miguel C. Soriano |
| 2021 | Exploring Autoencoders for Feature Extraction in Multi-Target Classification. Brendon Gouveia Cambuí, Rafael Gomes Mantovani, Ricardo Cerri |
| 2021 | Exploring Biases and Prejudice of Facial Synthesis via Semantic Latent Space. Xuyang Shen, Jo Plested, Sabrina B. Caldwell, Tom Gedeon |
| 2021 | Exploring Effective DNN Models for Forensic Age Estimation based on Panoramic Radiograph Images. Wenxuan Hou, Longjun Liu, Jinxia Gao, Anguo Zhu, Keyang Pan, Hongbin Sun, Nanning Zheng |
| 2021 | Exploring Label Correlations for Partitioning the Label Space in Multi-label Classification. Elaine Cecília Gatto, Mauri Ferrandin, Ricardo Cerri |
| 2021 | Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning. Tien-Dung Nguyen, David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys |
| 2021 | Exploring Sentence Embedding Structures for Semantic Relation Extraction. Alexander Kalinowski, Yuan An |
| 2021 | Exploring a Federated Learning Approach to Enhance Authorship Attribution of Misleading Information from Heterogeneous Sources. Fiammetta Marulli, Antonio Balzanella, Lelio Campanile, Mauro Iacono, Michele Mastroianni |
| 2021 | Exploring automatic liver tumor segmentation using deep learning. Jesús García Fernández, Valerio Fortunati, Siamak Mehrkanoon |
| 2021 | Exploring the Effect of Dynamic Drive Balancing in Open-ended Learning Robots. Alejandro Romero, Francisco Bellas, Richard J. Duro |
| 2021 | Exploring the Relations of Local Semantic Features with GNNs for Few-Shot Classification. Jiaxing Chen, Qinliang Su |
| 2021 | Exploring the structure of BERT through Kernel Learning. Ivano Lauriola, Alberto Lavelli, Alessandro Moschitti, Fabio Aiolli |
| 2021 | Extended Attention Mechanism for TSP Problem. Hua Yang |
| 2021 | Extracting Interpretable Decision Tree Ensemble from Random Forest. Bogdan Gulowaty, Michal Wozniak |
| 2021 | Extracting Temporal Correlations Using Hierarchical Spatio-Temporal Feature Maps. Amrutha Machireddy, Prayag Gowgi, Shayan Srinivasa Garani |
| 2021 | F-AttNet: Towards Multi-scale Feature Fusion for Fashion Attribute Prediction. Gaurab Bhattacharya, Nikhil Kilari, Jayavardhana Gubbi, Bagya Lakshmi V, P. Balamuralidhar |
| 2021 | FA-GAL-ResNet: Lightweight Residual Network using Focused Attention Mechanism and Generative Adversarial Learning via Knowledge Distillation. Hequn Yang, Ting Lu, Wenjing Guo, Shan Chang, Guohua Liu, Yiyang Luo |
| 2021 | FA-IATI: A Framework of Frequency Adaptive and Iterative Attention Interaction for Image-Text Matching. Youxuan Qin, Jing Zhao, Ming Li, Chao Sun |
| 2021 | FOOD: Fast Out-Of-Distribution Detector. Guy Amit, Moshe Levy, Ishai Rosenberg, Asaf Shabtai, Yuval Elovici |
| 2021 | FUNC-ESIM: A Dual Pairwise Attention Network for Cross-version Binary Function Matching. Degang Sun, Yunting Guo, Min Yu, Gang Li, Chao Liu, Jianguo Jiang, Weiqing Huang |
| 2021 | Fake News Detection on News-Oriented Heterogeneous Information Networks through Hierarchical Graph Attention. Yuxiang Ren, Jiawei Zhang |
| 2021 | Fall detection with accelerometer data using Residual Networks adapted to multi-variate time series classification. Amrutha Ramanathan, James McDermott |
| 2021 | Fast CNN Inference by Adaptive Sparse Matrix Decomposition. Nannan Tian, Yong Liu, Weiping Wang, Dan Meng |
| 2021 | Fast Interactive Video Object Segmentation with Graph Neural Networks. Viktor Varga, András Lorincz |
| 2021 | Fast Reinforcement Learning with Incremental Gaussian Mixture Models. Rafael C. Pinto |
| 2021 | Faster BiSeNet: A Faster Bilateral Segmentation Network for Real-time Semantic Segmentation. Qi Xu, Yinan Ma, Jing Wu, Chengnian Long |
| 2021 | Feature Boosting, Suppression, and Diversification for Fine-Grained Visual Classification. Jianwei Song, Ruoyu Yang |
| 2021 | Feature Importance Analysis for Customer Management of Insurance Products. Misbah Sohail, Pedro Peres, Yuhua Li |
| 2021 | Feature Selection Using Batch-Wise Attenuation and Feature Mask Normalization. Yiwen Liao, Raphaël Latty, Bin Yang |
| 2021 | FedCM: A Real-time Contribution Measurement Method for Participants in Federated Learning. Bingjie Yan, Boyi Liu, Lujia Wang, Yize Zhou, Zhixuan Liang, Ming Liu, Cheng-Zhong Xu |
| 2021 | FedOVA: One-vs-All Training Method for Federated Learning with Non-IID Data. Yuanshao Zhu, Christos Markos, Ruihui Zhao, Yefeng Zheng, James J. Q. Yu |
| 2021 | FedSAE: A Novel Self-Adaptive Federated Learning Framework in Heterogeneous Systems. Li Li, Moming Duan, Duo Liu, Yu Zhang, Ao Ren, Xianzhang Chen, Yujuan Tan, Chengliang Wang |
| 2021 | Federated Learning with Extreme Label Skew: A Data Extension Approach. Saheed A. Tijani, Xingjun Ma, Ran Zhang, Frank Jiang, Robin Doss |
| 2021 | Federated Reservoir Computing Neural Networks. Davide Bacciu, Daniele Di Sarli, Pouria Faraji, Claudio Gallicchio, Alessio Micheli |
| 2021 | Federated Variational Autoencoder for Collaborative Filtering. Mirko Polato |
| 2021 | Feedforward Neural Network Based on Nonmonotone Conjugate Gradient Method for Multiple Classification. Pengcheng Wan, Yuechen Mu, Wei Xue, Qiao Li, Tao Tao, Wensheng Zhang |
| 2021 | Few-Shot Learning for Postnatal Gestational Age Estimation. Stepan Romanov, Heda Song, Michel F. Valstar, Don Sharkey, Caz Henry, Isaac Triguero, Mercedes Torres Torres |
| 2021 | Filter Bank Adversarial Domain Adaptation For Motor Imagery Brain Computer Interface. Yukun Zhang, Shuang Qiu, Wei Wei, Xuelin Ma, Huiguang He |
| 2021 | Find and Dig: A Privacy-Preserving Image Processing Mechanism in Deep Neural Networks for Mobile Computation. Hongyu Huang, Hongyuan Zhao, Chunqiang Hu, Chao Chen, Yantao Li |
| 2021 | Finet: Using Fine-grained Batch Normalization to Train Light-weight Neural Networks. Chunjie Luo, Jianfeng Zhan, Lei Wang, Wanling Gao |
| 2021 | Finite-Time Synchronization Under Aperiodically Intermittent Control and its Application on Spatially Coupled Reaction-Diffusion Neural Networks. Xiwei Liu, Yuntao Wei |
| 2021 | Fisher-regularized Support Vector Machine with Pinball Loss Function. Zhengqi Zhang, Li Zhang, Zhao Zhang |
| 2021 | FoLaR: Foggy Latent Representations for Reinforcement Learning with Partial Observability. Hardik Meisheri, Harshad Khadilkar |
| 2021 | Focus on Inherent Attributes for Temporal Knowledge Graph Completion. Kai Chen, Chenchen Li, Aiping Li, Jingsheng Gao, Sixia Ma |
| 2021 | Forecasting COVID-19 pandemic using an echo state neural network-based framework. José Henrique Kleinübing Larcher, Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Leandro dos Santos Coelho, Viviana Cocco Mariani |
| 2021 | Forecasting Regional Level Solar Power Generation Using Advanced Deep Learning Approach. Sarah Almaghrabi, Mashud Rana, Margaret Hamilton, Mohammad Saiedur Rahaman |
| 2021 | Forecasting Stock Prices Using Stock Correlation Graph: A Graph Convolutional Network Approach. Xingkun Yin, Da Yan, Abdullateef Ibrahim Almudaifer, Sibo Yan, Yang Zhou |
| 2021 | FreSaDa: A French Satire Data Set for Cross-Domain Satire Detection. Radu Tudor Ionescu, Adrian-Gabriel Chifu |
| 2021 | Friendly Training: Neural Networks Can Adapt Data To Make Learning Easier. Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci |
| 2021 | Friends Recommendation Based on KBERT-CNN Text Classification Model. Ning Pan, Wenbin Yao, Xiaoyong Li |
| 2021 | From Coarse to Fine: Hierarchical Multi-scale Temporal Information Modeling via Sub-group Convolution for Video Action Recognition. Fengwen Cheng, Huicheng Zheng, Zehua Liu |
| 2021 | From Weakly Supervised Learning to Biquality Learning: an Introduction. Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou |
| 2021 | From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation. Nikhil Kapoor, Andreas Bär, Serin Varghese, Jan David Schneider, Fabian Hüger, Peter Schlicht, Tim Fingscheidt |
| 2021 | Fruit classification using deep feature maps in the presence of deceptive similar classes. Mohit Dandekar, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal, Rage Uday Kiran |
| 2021 | Fusion of Multiple Spatial Networks Derived from Complex-Valued fMRI Data via CNN Classification. Yan-Wei Niu, Chao-Ying Zhang, Yue Qiu, Qiu-Hua Lin, Jing Sui, Vince D. Calhoun |
| 2021 | Fuzzy Deep Q-learning Task Offloading in Delay Constrained Vehicular Fog Computing. Do Bao Son, Vu Tri An, Trinh Thu Hai, Binh Minh Nguyen, Nguyen Phi Le, Huynh Thi Thanh Binh |
| 2021 | GAP-WF: Graph Attention Pooling Network for Fine-grained SSL/TLS Website Fingerprinting. Jie Lu, Gaopeng Gou, Majing Su, Dong Song, Chang Liu, Chen Yang, Yangyang Guan |
| 2021 | GIMD-Net: An effective General-purpose Image Manipulation Detection Network, even under anti-forensic attacks. Gurinder Singh, Puneet Goyal |
| 2021 | GKT-CD: Make Cognitive Diagnosis Model Enhanced by Graph-based Knowledge Tracing. Junrui Zhang, Yun Mo, Changzhi Chen, Xiaofeng He |
| 2021 | GPS-ReID: A Benchmark for Cross-Modal Pedestrian Retrieval. Shaochuan Lin, Jianming Lv, Yaquan Wang, Chujie Chen |
| 2021 | GSAPool: Gated Structure Aware Pooling for Graph Representation Learning. Hualei Yu, Jinliang Yuan, Hao Cheng, Meng Cao, Chongjun Wang |
| 2021 | Gaussian Prototype Rectification For Few-shot Image Recognition. Jinfu Lin, Junmin Shen, Xiaojian He |
| 2021 | GazeFlow: Gaze Redirection with Normalizing Flows. Yong Wu, Hanbang Liang, Xianxu Hou, Linlin Shen |
| 2021 | Gender-Aware Estimation of Depression Severity Level in a Multimodal Setting. Syed Arbaaz Qureshi, Gaël Dias, Sriparna Saha, Mohammed Hasanuzzaman |
| 2021 | Gender-based approach to estimate the human body fat percentage using Machine Learning. Shara S. A. Alves, Elene F. Ohata, Navar Medeiros M. e Nascimento, João W. M. de Souza, Gabriel Bandeira Holanda, Luiz Lannes Loureiro, Pedro Pedrosa Rebouças Filho |
| 2021 | General meta-learning paradigm based on prior-models, meta-model, meta-algorithm, and few-shot-base-model. Eduardo Rivas-Posada, Mario I. Chacon Murguia |
| 2021 | Generalization Self-distillation with Epoch-wise Regularization. Yuelong Xia, Yun Yang |
| 2021 | Generalization in Multimodal Language Learning from Simulation. Aaron Eisermann, Jae Hee Lee, Cornelius Weber, Stefan Wermter |
| 2021 | Generalized Learning Vector Quantization for Classification in Randomized Neural Networks and Hyperdimensional Computing. Cameron Diao, Denis Kleyko, Jan M. Rabaey, Bruno A. Olshausen |
| 2021 | Generalized Symmetric Nonnegative Latent Factor Analysis for Large-scale Undirected Weighted Networks. Yurong Zhong, Xin Luo |
| 2021 | Generate and Revise: Reinforcement Learning in Neural Poetry. Andrea Zugarini, Luca Pasqualini, Stefano Melacci, Marco Maggini |
| 2021 | Generating Diverse Extended Summaries of Scientific Articles. Saichethan Miriyala Reddy, Swati Agarwal, Sriparna Saha |
| 2021 | Generating Fake Cyber Threat Intelligence Using Transformer-Based Models. Priyanka Ranade, Aritran Piplai, Sudip Mittal, Anupam Joshi, Tim Finin |
| 2021 | Generating Lead Sheets with Affect: A Novel Conditional seq2seq Framework. Dimos Makris, Kat R. Agres, Dorien Herremans |
| 2021 | Generating full-view face images from a single-view image. Lei Zhong, Changmin Bai, Jianfeng Li |
| 2021 | Generative Adversarial Nets for Multiple Text Corpora. Abdolghani Ebrahimi, Diego Klabjan, Baiyang Wang |
| 2021 | Generative Adversarial Networks: A Likelihood Ratio Approach. Kalliopi Basioti, George V. Moustakides |
| 2021 | Generative Feature Replay with Orthogonal Weight Modification for Continual Learning. Gehui Shen, Song Zhang, Xiang Chen, Zhi-Hong Deng |
| 2021 | Global Object Proposals for Improving Multi-Sentence Video Descriptions. Chandresh S. Kanani, Sriparna Saha, Pushpak Bhattacharyya |
| 2021 | Gradient-Zhang Neural Dynamics Models Computing Pseudoinverses of Time-Varying Matrices via ZeaD and Extrapolation Formulas. Yunong Zhang, Zhenyu Li, Min Yang, Peng Yu, Ning Tan |
| 2021 | Graph Convolutional Network Based Patent Issue Discovery Model. Weidong Liu, Haochen Zhang, Xu Guo, Yong Han |
| 2021 | Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution. Boyan Xu, Hujun Yin |
| 2021 | Graph Convolutional Neural Networks-based 3D Hand Pose Estimation over Point Clouds. John Alejandro Castro-Vargas, Pablo Martinez-Gonzalez, Sergiu Oprea, Alberto Garcia-Garcia, Sergio Orts-Escolano, José García Rodríguez |
| 2021 | Graph Neural Network Based Interference Estimation for Device-to-Device Wireless Communications. He Jiang, Lusi Li, Zhenhua Wang, Haibo He |
| 2021 | Graph Neural Networks for Heterogeneous Trust based Social Recommendation. Supriyo Mandal, Abyayananda Maiti |
| 2021 | Graph Theory for Metro Traffic Modelling. Bruno Scalzo Dees, Yao Lei Xu, Anthony G. Constantinides, Danilo P. Mandic |
| 2021 | Graph-Aware Collaborative Filtering for Top-N Recommendation. Lianjie Long, Yunfei Yin, Faliang Huang |
| 2021 | Graph-based KB and Text Fusion Interaction Network for Open Domain Question Answering. Yi Ding, Yuan Rao, Fan Yang |
| 2021 | Graph-based Multi-view Learning for Cooperative Spectrum Sensing. Lusi Li, He Jiang, Haibo He |
| 2021 | Graph-based Visual Manipulation Relationship Reasoning in Object-Stacking Scenes. Guoyu Zuo, Jiayuan Tong, Hongxing Liu, Wenbai Chen, Jianfeng Li |
| 2021 | GraphMDN: Leveraging graph structure and deep learning to solve inverse problems. Tuomas P. Oikarinen, Daniel C. Hannah, Sohrob Kazerounian |
| 2021 | Graphgen-redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation. Davide Bacciu, Marco Podda |
| 2021 | Group-Based Deep Transfer Learning with Mixed Gate Control for Cross- Domain Recommendation. Mingze Sun, Daiyue Xue, Weipeng Wang, Qifu Hu, Jianping Yu |
| 2021 | Guiding Neural Machine Translation with Retrieved Translation Template. Wei Shang, Chong Feng, Tianfu Zhang, Da Xu |
| 2021 | H-GAN: the power of GANs in your Hands. Sergiu Oprea, Giorgos Karvounas, Pablo Martinez-Gonzalez, Nikolaos Kyriazis, Sergio Orts-Escolano, Iason Oikonomidis, Alberto Garcia-Garcia, Aggeliki Tsoli, José García Rodríguez, Antonis A. Argyros |
| 2021 | HCov: A Target Attention-based Filter Pruning with Retaining High-Covariance Feature Map. Chenrui Zhang, Yinan Ma, Jing Wu, Chengnian Long |
| 2021 | HCt-SNE: Hierarchical Constraints with t-SNE. Viet Minh Vu, Adrien Bibal, Benoît Frénay |
| 2021 | HRCS_EE: a human-robot collaboration system to help the elderly: *Note: Sub-titles are not captured in Xplore and should not be used. Junhong Meng, Zhiquan Feng, Xujie Lang, Shaosong Dou, Changsheng Ai, Haiyan Shao |
| 2021 | HRotatE: Hybrid Relational Rotation Embedding for Knowledge Graph. Akshay Shah, Bonaventure C. Molokwu, Ziad Kobti |
| 2021 | Hair Editing with Two-Phase Image Reconstruction. Huan Li, Jinglei Tang, Xujing Zhou |
| 2021 | Hardware-Friendly Synaptic Orders and Timescales in Liquid State Machines for Speech Classification. Vivek Saraswat, Ajinkya Gorad, Anand Naik, Aakash Patil, Udayan Ganguly |
| 2021 | Heart-Darts: Classification of Heartbeats Using Differentiable Architecture Search. Jindi Lv, Qing Ye, Yanan Sun, Juan Zhao, Jiancheng Lv |
| 2021 | Heterogeneous Graph Embedding Based on Edge-aware Neighborhood Convolution. Hui Chen, Cangqi Zhou, Jing Zhang, Qianmu Li |
| 2021 | Heterogeneous Graph Gated Attention Network. Shuai Ma, Jian-wei Liu, Xin Zuo, Weimin Li |
| 2021 | Heuristic Search for Activation Functions of Neural Networks Based on Gaussian Processes. Xinxing Shi, Jialin Chen, Lingli Wang |
| 2021 | Hiding All Labels for Multi-label Images: An Empirical Study of Adversarial Examples. Nan Zhou, Wenjian Luo, Jiajia Zhang, Linghao Kong, Hongwei Zhang |
| 2021 | Hierarchical Attention Transformer Networks for Long Document Classification. Yongli Hu, Puman Chen, Tengfei Liu, Junbin Gao, Yanfeng Sun, Baocai Yin |
| 2021 | Hierarchical Deep Reinforcement Learning Approach for Multi-Objective Scheduling With Varying Queue Sizes. Yoni Birman, Ziv Ido, Gilad Katz, Asaf Shabtai |
| 2021 | Hierarchical Dialogue State Tracking with Machine Reading Comprehension. Boyu Qiu, Jungang Xu, Yingfei Sun |
| 2021 | Hierarchical Recurrent Neural Networks for Conditional Melody Generation with Long-term Structure. Zixun Guo, Dimos Makris, Dorien Herremans |
| 2021 | Hierarchical Reinforcement Learning-Based Policy Switching Towards Multi-Scenarios Autonomous Driving. Youtian Guo, Qichao Zhang, Junjie Wang, Shasha Liu |
| 2021 | Hierarchical System of Gene Selection Based on Deep Learning and Ensemble Approach. Dominik Seweryn, Stanislaw Osowski |
| 2021 | Hierarchical and Multi-Resolution Preference Modeling for Next POI Recommendation. Yanyan Zhao, Jingyi Liu, Daren Zha, Kai Liu |
| 2021 | Hierarchical disentangled representation learning for singing voice conversion. Naoya Takahashi, Mayank Kumar Singh, Yuki Mitsufuji |
| 2021 | High-Resolution Recurrent Gated Fusion Network for 3D Pancreas Segmentation. Weijia Li, Xing Wu, Yangjinan Hu, Lulu Wang, Zhongshi He, Jinglong Du |
| 2021 | Hint Pyramid Learning Via Salient Semantic Mining. Jianyuan Wang, Xinyue Liu, Qianggang Cao, Biao Leng |
| 2021 | Histopathological image analysis for breast cancer diagnosis by ensembles of convolutional neural networks and genetic algorithms. Miguel A. Molina-Cabello, José A. Rodríguez-Rodríguez, Karl Thurnhofer-Hemsi, Ezequiel López-Rubio |
| 2021 | Homogeneous Symptom Graph Attentive Reasoning Network for Herb Recommendation. Yinghong Zhang, Song Liu, Jianhui Xie, Ruixing Liu, Yuesheng Zhu, Zhiqiang Bai |
| 2021 | Hourglass Face Detector for Hard Face. Zijun Yu, Jian Yin, Qiang Zhang, Wenming Yang, Jing-Hao Xue, Qingmin Liao |
| 2021 | How Can the [MASK] Know? The Sources and Limitations of Knowledge in BERT. Maksim Podkorytov, Daniel Bis, Xiuwen Liu |
| 2021 | How saccadic vision might help with the interpretability of deep networks. Iana Sereda, Grigory V. Osipov |
| 2021 | Hybrid and non-uniform quantization methods using retro synthesis data for efficient inference. Tej Pratap G. V. S. L., Raja Kumar, N. S. Pradeep |
| 2021 | Hybrid-TC: A Hybrid Teaching-Learning-Based Optimization Algorithm for Service Composition in Cloud Manufacturing. Juan Yao, Jun Zeng, Junhao Wen, Wei Zhou, Min Gao |
| 2021 | HyperEmbed: Tradeoffs Between Resources and Performance in NLP Tasks with Hyperdimensional Computing Enabled Embedding of n-gram Statistics. Pedro Alonso, Kumar Shridhar, Denis Kleyko, Evgeny Osipov, Marcus Liwicki |
| 2021 | Hyperbolic Knowledge Graph Embedding with Logical Pattern Learning. Weidong Li, Rong Peng |
| 2021 | Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks. Antonello Rosato, Massimo Panella, Denis Kleyko |
| 2021 | Hyperspectral Band Selection for Multispectral Image Classification with Convolutional Networks. Giorgio Morales, John Sheppard, Riley D. Logan, Joseph A. Shaw |
| 2021 | IA-CNN: A generalised interpretable convolutional neural network with attention mechanism. Zhisong Zhang, Yaran Chen, Haoran Li, Qichao Zhang |
| 2021 | ICE-GAN: Identity-Aware and Capsule-Enhanced GAN with Graph-Based Reasoning for Micro-Expression Recognition and Synthesis. Jianhui Yu, Chaoyi Zhang, Yang Song, Weidong Cai |
| 2021 | Identification of Adversarial Android Intents using Reinforcement Learning. Hemant Rathore, Piyush Nikam, Sanjay K. Sahay, Mohit Sewak |
| 2021 | Identifying DNS Exfiltration based on Lexical Attributes of Query Name. Iram Jawad, Jawad Ahmed, Imran Razzak, Robin Doss |
| 2021 | Identifying Possible Rumor Spreaders on Twitter: A Weak Supervised Learning Approach. Shakshi Sharma, Rajesh Sharma |
| 2021 | Identity-linked Group Channel Pruning for Deep Neural Networks. Chenxin Zhang, Keqin Xu, Jie Liu, Zhiyang Zhou, Liangyi Kang, Dan Ye |
| 2021 | Image Embedding and Model Ensembling for Automated Chest X-Ray Interpretation. Edoardo Giacomello, Pier Luca Lanzi, Daniele Loiacono, Luca Nassano |
| 2021 | Image Modeling with Deep Convolutional Gaussian Mixture Models. Alexander Gepperth, Benedikt Pfülb |
| 2021 | Impact of Spatial Frequency Based Constraints on Adversarial Robustness. Rémi Bernhard, Pierre-Alain Moëllic, Martial Mermillod, Yannick Bourrier, Romain Cohendet, Miguel Solinas, Marina Reyboz |
| 2021 | Implicit Regularization in Deep Tensor Factorization. Paolo Milanesi, Hachem Kadri, Stéphane Ayache, Thierry Artières |
| 2021 | Importance Reweighting for Biquality Learning. Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou |
| 2021 | Improved Boosted Regression Forests Through Non-Greedy Tree Optimization. Arman Zharmagambetov, Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán |
| 2021 | Improvement of Efficiency in Evolutionary Pruning. Yidan Zhang, Youheng Zhen, Zhenan He, Gary G. Yen |
| 2021 | Improving Lexical-Constraint-Aware Machine Translation by Factoring Encoders. Weiyuan Zeng, Cong Liu |
| 2021 | Improving Meta-Learning Classification with Prototype Enhancement. Xiaohang Pan, Fanzhang Li, Li Liu |
| 2021 | Improving Model-Based Reinforcement Learning with Internal State Representations through Self-Supervision. Julien Scholz, Cornelius Weber, Muhammad Burhan Hafez, Stefan Wermter |
| 2021 | Improving Multi-Category Sentiment Classification by Semantic Dual-Granularity and Syntax-Path Encoding. Zong-Yuan Li, Junwei Bao, Bo Han |
| 2021 | Improving Neural Network Learning Through Dual Variable Learning Rates. Elizabeth Liner, Risto Miikkulainen |
| 2021 | Improving Object Detection in Art Images Using Only Style Transfer. David Kadish, Sebastian Risi, Anders Sundnes Løvlie |
| 2021 | Improving Pedestrian Attribute Recognition with Multi-Scale Spatial Calibration. Jiabao Zhong, Hezhe Qiao, Lin Chen, Mingsheng Shang, Qun Liu |
| 2021 | Improving Real Age Estimation from Apparent Age Data. Danilo Coura Moreira, Eanes Torres Pereira, Marco Álvarez |
| 2021 | Improving Uncertainty Estimations for Mammogram Classification using Semi-Supervised Learning. Saúl Calderón Ramírez, Diego Murillo-Hernandez, Kevin Rojas-Salazar, Luis-Alexander Calvo-Valverde, Shengxiang Yang, Armaghan Moemeni, David A. Elizondo, Ezequiel López-Rubio, Miguel A. Molina-Cabello |
| 2021 | Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates. Kira Maag, Matthias Rottmann, Serin Varghese, Fabian Hüger, Peter Schlicht, Hanno Gottschalk |
| 2021 | Improving Zero-shot Neural Machine Translation on Language-specific Encoders- Decoders. Junwei Liao, Yu Shi, Ming Gong, Linjun Shou, Hong Qu, Michael Zeng |
| 2021 | Improving shepherding tasks through destination-orientated actions. Jun Yao, Jia Lee, Xin Huang, Teijiro Isokawa |
| 2021 | Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning. Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis |
| 2021 | Impute Gene Expression Missing Values via Biological Networks: Optimal Fusion of Data and Knowledge. Mingrong Xiang, Jingyu Hou, Wei Luo, Wenjing Tao, Deshou Wang |
| 2021 | In Your Face: Sentiment Analysis of Metaphor with Facial Expressive Features. Dongyu Zhang, Minghao Zhang, Teng Guo, Ciyuan Peng, Vidya Saikrishna, Feng Xia |
| 2021 | Incorporating Decision-level Reconstruction Quality in Adversarial Autoencoders for Anomaly Detection. Luyuan Li, Andy J. Ma |
| 2021 | Incorporating Specific Knowledge into End-to-End Task-oriented Dialogue Systems. Qingyue Wang, Yanan Cao, Junyan Jiang, Yafang Wang, Lingling Tong, Li Guo |
| 2021 | Incorporating User Preference into Multi-community and Outliers Search. Qingqing Li, Huifang Ma, Ju Li, Zhixin Li, Yanbing Jiang |
| 2021 | Increased Reinforcement Learning Performance through Transfer of Representation Learned by State Prediction Model. Alperen Tercan, Charles W. Anderson |
| 2021 | Inductive Learning on Commonsense Knowledge Graph Completion. Bin Wang, Guangtao Wang, Jing Huang, Jiaxuan You, Jure Leskovec, C.-C. Jay Kuo |
| 2021 | Industry Chain Graph Building Based on Text Semantic Association Mining. Jipeng Li, Yujing Sun, Chenhui Li, Yanpeng Hu, Changbo Wang |
| 2021 | Inertial Gait-based Person Authentication Using Siamese Networks. Osama Adel, Mostafa Soliman, Walid Gomaa |
| 2021 | Information Extraction of Domain-Specific Business Documents with Limited Data. Minh-Tien Nguyen, Le Thai Linh, Dung Tien Le, Nguyen Hong Son, Do Hoang Thai Duong, Bui Cong Minh, Akira Shojiguchi |
| 2021 | Information Reuse Attention in Convolutional Neural Networks for Facial Expression Recognition in the Wild. Chuang Wang, Ruimin Hu |
| 2021 | Information-theoretic Source Code Vulnerability Highlighting. Van Nguyen, Trung Le, Olivier Y. de Vel, Paul Montague, John Grundy, Dinh Phung |
| 2021 | Infrared and Visible Image Fusion Based on Multiscale Network with Dual-channel Information Cross Fusion Block. Yong Yang, Xiangkai Kong, Shuying Huang, Weiguo Wan, Jiaxiang Liu, Wang Zhang |
| 2021 | Integrated Optimization Method of Hidden Parameters in Incremental Extreme Learning Machine. Siyuan Zhang, Linbo Xie |
| 2021 | Integrating Argument-Level Attention with Multi-Level Scores to Predict What Happen Next. Zhenyu Huang, Yongjun Wang, Hongzuo Xu, Songlei Jian |
| 2021 | Integrating General and Specific Priors into Deep Convolutional Neural Networks for Bladder Tumor Segmentation. Xiao Huang, Xiaodong Yue, Zhikang Xu, Yufei Chen |
| 2021 | Integration of Coordinate and Geometric Surface Normal for 3D Point Cloud Object Detection. Yan Zhao, Jihong Zhu, Haoyu Liang, Lyujie Chen |
| 2021 | Intelligent Failure Prediction in Industrial Vehicles. Basem Suleiman, Ali Anaissi, Bochao Zhan, Muhammad Johan Alibasa |
| 2021 | Interactive Quantum Classifier Inspired by Quantum Open System Theory. Junwei Zhang, Zhao Li, Ruifang He, Ji Zhang, Biao Wang, Zhaolin Li, Tianyuan Niu |
| 2021 | International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, July 18-22, 2021 |
| 2021 | Internet Traffic Forecasting using Temporal-Topological Graph Convolutional Networks. Zhenjie Yao, Qian Xu, Yongrui Chen, Yanhui Tu, He Zhang, Yixin Chen |
| 2021 | Interpretable Charge Prediction for Legal Cases based on Interdependent Legal Information. Liting Liu, Wenzheng Zhang, Jie Liu, Wenxuan Shi, Yalou Huang |
| 2021 | Interpretable Goal Recognition for Path Planning with ART Networks. Yue Hu, Kai Xu, Budhitama Subagdja, Ah-Hwee Tan, Quanjun Yin |
| 2021 | Interpretation on Deep Multimodal Fusion for Diagnostic Classification. Bowen Xin, Jing Huang, Yun Zhou, Jie Lu, Xiuying Wang |
| 2021 | Interpreting Node Embedding with Text-labeled Graphs. Giuseppe Serra, Zhao Xu, Mathias Niepert, Carolin Lawrence, Peter Tiño, Xin Yao |
| 2021 | Intra-Model Collaborative Learning of Neural Networks. Shijie Fang, Tong Lin |
| 2021 | Intragroup sparsity for efficient inference. Zilin Yu, Chao Wang, Xin Wang, Yong Zhao, Xundong Wu |
| 2021 | Inverse Modeling of ADI for Prediction of Process Parameters Using PSO-MLP Technique. Ravindra V. Savangouder, Jagdish C. Patra, Suresh Palanisamy |
| 2021 | Investigating Refractoriness in Collision Perception Neuronal Model. Mu Hua, Qinbing Fu, Wenting Duan, Shigang Yue |
| 2021 | It's Hard for Neural Networks to Learn the Game of Life. Jacob M. Springer, Garrett T. Kenyon |
| 2021 | Jitter: Random Jittering Loss Function. Zhicheng Cai, Chenglei Peng, Sidan Du |
| 2021 | Joint Critics Mechanism: A Universal Framework for Multi-targets Visual Navigation. Youzhuo Wang, Wenzhe Zhao, Tian Xia, Nanning Zheng, Pengju Ren |
| 2021 | Joint Distribution Adaptation via Wasserstein Adversarial Training. Xiaolu Wang, Wenyong Zhang, Xin Shen, Huikang Liu |
| 2021 | Kidney segmentation from computed tomography images using U-Net and batch-based synthesis. Tomasz Les, Tomasz Markiewicz, Miroslaw Dziekiewicz, Malgorzata Lorent |
| 2021 | Knowledge Enhanced Sequential Entity Linking. Yu Liu, Shi Wang, Kangli Zi, Jicun Li, Cungen Cao |
| 2021 | L2S-MirLoc: A Lightweight Two Stage MiRNA Sub-Cellular Localization Prediction Framework. Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Christoph Zehe, Olivier Cloarec, Rickard Sjögren, Johan Trygg, Andreas Dengel, Sheraz Ahmed |
| 2021 | LABELNET: Recovering Noisy Labels. Amirmasoud Ghiassi, Robert Birke, Rui Han, Lydia Y. Chen |
| 2021 | LITNet: A Light-weight Image Transform Net for Image Style Transfer. Huihong Shi, Wendong Mao, Zhongfeng Wang |
| 2021 | LSFB-CONT and LSFB-ISOL: Two New Datasets for Vision-Based Sign Language Recognition. Jérôme Fink, Benoît Frénay, Laurence Meurant, Anthony Cleve |
| 2021 | LSTM Hyper-Parameter Selection for Malware Detection: Interaction Effects and Hierarchical Selection Approach. Mohit Sewak, Sanjay K. Sahay, Hemant Rathore |
| 2021 | Label Distribution Learning by Mining Local Label Correlations in Self-regulating Clusters Independent of Sample Distance. Yizhen Jing, Youfang Lin, Yiji Zhao, Zhihao Wu |
| 2021 | Label Propagation Through Optimal Transport. Mourad El Hamri, Younès Bennani, Issam Falih |
| 2021 | Lane Intrusion Behaviors Dataset: Action Recognition in Real-world Highway Scenarios for Self-driving. Hongchao Lu, Zhidong Deng, Ruiwen Zhang |
| 2021 | Large-scale singer recognition using deep metric learning: an experimental study. Shichao Hu, Beici Liang, Zhouxuan Chen, Xiao Lu, Ethan Zhao, Simon Lui |
| 2021 | Latent shared representation for multi-view subspace clustering. Baifu Huang, Haoliang Yuan, Loi Lei Lai |
| 2021 | Layer Flexible Adaptive Computation Time. Lida Zhang, Abdolghani Ebrahimi, Diego Klabjan |
| 2021 | Layerwise Approximate Inference for Bayesian Uncertainty Estimates on Deep Neural Networks. Ni Zhang, Xiaoyi Chen, Li Quan |
| 2021 | Learn and Visually Explain Deep Fair Models: an Application to Face Recognition. Danilo Franco, Luca Oneto, Nicolò Navarin, Davide Anguita |
| 2021 | Learning 2-opt Local Search from Heuristics as Expert Demonstrations. Paulo da Costa, Yingqian Zhang, Alp Akcay, Uzay Kaymak |
| 2021 | Learning Associations between Features and Clusters: An Interpretable Deep Clustering Method. Hao Huang, Feng Xue, Weizhong Yan, Tianyi Wang, Shinjae Yoo, Chenxiao Xu |
| 2021 | Learning Discriminative Representations for Fine-Grained Diabetic Retinopathy Grading. Li Tian, Liyan Ma, Zhijie Wen, Shaorong Xie, Yupeng Xu |
| 2021 | Learning Diverse Local Patterns for Deepfake Detection with Image-level Supervision. Hefei Ling, Junrui Huang, Chengxin Zhao, Yutong Yao, Jiazhong Chen, Ping Li |
| 2021 | Learning Dynamic Coherence with Graph Attention Network for Biomedical Entity Linking. Mumeng Bo, Meihui Zhang |
| 2021 | Learning Effective Discriminative Features with Differentiable Magnet Loss. Xiaojing Zhang, Lin Wang, Bo Yang |
| 2021 | Learning Knowledge Graph Embedding in Semantic Space: A Novel Bi-linear Semantic Matching Method. Kai Chen, Ye Wang, Aiping Li, Chenchen Li, Xiaojuan Zhao, Ruidong Ding |
| 2021 | Learning Multi-Graph Neural Network for Data-Driven Job Skill Prediction. Liting Liu, Wenzheng Zhang, Jie Liu, Wenxuan Shi, Yalou Huang |
| 2021 | Learning New Word Semantics with Conceptual Text. Wei Pan, Tianyuan Liu, Wentao Zhang, Yuqing Sun |
| 2021 | Learning Online for Unified Segmentation and Tracking Models. Tianyu Zhu, Mehrtash Harandi, Rongkai Ma, Tom Drummond |
| 2021 | Learning Primal Heuristics for Mixed Integer Programs. Yunzhuang Shen, Yuan Sun, Andrew C. Eberhard, Xiaodong Li |
| 2021 | Learning Sparsity of Representations with Discrete Latent Variables. Zhao Xu, Daniel Oñoro-Rubio, Giuseppe Serra, Mathias Niepert |
| 2021 | Learning a Belief Representation for Delayed Reinforcement Learning. Pierre Liotet, Erick Venneri, Marcello Restelli |
| 2021 | Learning a Deep Reinforcement Learning Policy Over the Latent Space of a Pre-trained GAN for Semantic Age Manipulation. Kumar Shubham, Gopalakrishnan Venkatesh, Reijul Sachdev, Akshi, Dinesh Babu Jayagopi, G. Srinivasaraghavan |
| 2021 | Learning distant cause and effect using only local and immediate credit assignment. David Rawlinson, Abdelrahman Ahmed, Gideon Kowadlo |
| 2021 | Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks. Loïc Cordone, Benoît Miramond, Sonia Ferrante |
| 2021 | Learning structure-aware semantic segmentation with image-level supervision. Jiawei Liu, Jing Zhang, Yicong Hong, Nick Barnes |
| 2021 | Learning the Features ignored by Classification Models using Staged Modeling Variational Autoencoder. Zhihui Ruan, Jianwei Zhang |
| 2021 | Learning the Step-size Policy for the Limited-Memory Broyden-Fletcher-Goldfarb-Shanno Algorithm. Lucas N. Egidio, Anders Hansson, Bo Wahlberg |
| 2021 | Learning to Binarize Convolutional Neural Networks with Adaptive Neural Encoder. Shuai Zhang, Fangyuan Ge, Rui Ding, Haijun Liu, Xichuan Zhou |
| 2021 | Learning to Optimise Routing Problems using Policy Optimisation. Nasrin Sultana, Jeffrey Chan, Tabinda Sarwar, A. K. Qin |
| 2021 | Learning to Play Hard Exploration Games Using Graph-Guided Self-Navigation. Enmin Zhao, Renye Yan, Kai Li, Lijuan Li, Junliang Xing |
| 2021 | Let Imbalance Have Nowhere to Hide: Class-Sensitive Feature Extraction for Imbalanced Traffic Classification. Yu Guo, Gaopeng Gou, Gang Xiong, Minghao Jiang, Junzheng Shi, Wei Xia |
| 2021 | Lifelong Learning of Graph Neural Networks for Open-World Node Classification. Lukas Galke, Benedikt Franke, Tobias Zielke, Ansgar Scherp |
| 2021 | Light Field Compression by Residual CNN-Assisted JPEG. Eisa Hedayati, Timothy C. Havens, Jeremy P. Bos |
| 2021 | Lightweight multi-dimensional memristive CapsNet. Shihao Dan, Xiaofang Hu, Yue Zhou, Shukai Duan |
| 2021 | Linear Program Powered Attack. Ismaïla Seck, Gaëlle Loosli, Stéphane Canu |
| 2021 | Link Prediction of Directed Network Based on Node Importance. Luomin Du, Yan Tang, Yuan Yuan |
| 2021 | Link Prediction with Multiple Structural Attentions in Multiplex Networks. Shangrong Huang, Quanyu Ma, Chao Yang, Yazhou Yao |
| 2021 | LipARELU: ARELU Networks aided by Lipschitz Acceleration. Ishita Mediratta, Snehanshu Saha, Shubhad Mathur |
| 2021 | Local Frequency Domain Transformer Networks for Video Prediction. Hafez Farazi, Jan Nogga, Sven Behnke |
| 2021 | Local Interpretable Explanations for GBDT. Xin Qiu, Rui Zhang, Honggang Xu, Xin Li |
| 2021 | Local Tangent Generative Adversarial Network for Imbalanced Data Classification. Zhihao Li, Zhiwen Yu, Kaixiang Yang, Yifan Shi, Yuhong Xu, C. L. Philip Chen |
| 2021 | Local-Global based Deep Registration Neural Network for Rigid Alignment. Victor Villena-Martinez, Marcelo Saval-Calvo, Jorge Azorín López, Andrés Fuster Guilló, Robert B. Fisher |
| 2021 | Localized Motion Artifact Reduction on Brain MRI Using Deep Learning with Effective Data Augmentation Techniques. Yijun Zhao, Jacek Ossowski, Xuming Wang, Shangjin Li, Orrin Devinsky, Samantha P. Martin, Heath R. Pardoe |
| 2021 | LogBERT: Log Anomaly Detection via BERT. Haixuan Guo, Shuhan Yuan, Xintao Wu |
| 2021 | Looking Back and Forward: Enhancing Image Captioning with Global Semantic Guidance. Feng Chen, Jintao Tang, Shasha Li, Xinyi Li, Ting Wang |
| 2021 | Loss Prediction: End-to-End Active Learning Approach For Speech Recognition. Jian Luo, Jianzong Wang, Ning Cheng, Jing Xiao |
| 2021 | Loss-based Active Learning for Named Entity Recognition. Le Thai Linh, Minh-Tien Nguyen, Guido Zuccon, Gianluca Demartini |
| 2021 | Low-Resource Neural Machine Translation with Neural Episodic Control. Nier Wu, Hongxu Hou, Shuo Sun, Wei Zheng |
| 2021 | Luring Transferable Adversarial Perturbations for Deep Neural Networks. Rémi Bernhard, Pierre-Alain Moëllic, Jean-Max Dutertre |
| 2021 | MAGCN: A Multi-Adaptive Graph Convolutional Network for Traffic Forecasting. Qingyuan Zhan, Guixing Wu, Chuang Gan |
| 2021 | MAIN: Multihead-Attention Imputation Networks. Spyridon Mouselinos, Kyriakos Polymenakos, Antonis Nikitakis, Konstantinos Kyriakopoulos |
| 2021 | MCDALNet: Multi-scale Contextual Dual Attention Learning Network for Medical Image Segmentation. Pengcheng Guo, Xiangdong Su, Haoran Zhang, Feilong Bao |
| 2021 | MF-Net: Meta Fusion Network for 3D object detection. Zhaoxin Meng, Guiyang Luo, Quan Yuan, Jinglin Li, Fangchun Yang |
| 2021 | MIXP: Efficient Deep Neural Networks Pruning for Further FLOPs Compression via Neuron Bond. Bin Hu, Tianming Zhao, Yucheng Xie, Yan Wang, Xiaonan Guo, Jerry Cheng, Yingying Chen |
| 2021 | MKE Scheme for Planning and Control of Dual-arm Robotic System Aided with Recurrent Neural Networks. Jialiang Fan, Mei Liu, Shuai Li |
| 2021 | MLFF: A Object Detector based on a Multi-Layer Feature Fusion. Panyu Peng, Yong Liu, Xingfeng Lv |
| 2021 | MMD-MIX: Value Function Factorisation with Maximum Mean Discrepancy for Cooperative Multi-Agent Reinforcement Learning. Zhiwei Xu, Dapeng Li, Yunpeng Bai, Guoliang Fan |
| 2021 | MMPoint-GNN: Graph Neural Network with Dynamic Edges for Human Activity Recognition through a Millimeter-Wave Radar. Peixian Gong, Chunyu Wang, Lihua Zhang |
| 2021 | MODRL/D-EL: Multiobjective Deep Reinforcement Learning with Evolutionary Learning for Multiobjective Optimization. Yongxin Zhang, Jiahai Wang, Zizhen Zhang, Yalan Zhou |
| 2021 | MPC-based control strategy of a neuro-inspired quadruped robot. Paolo Arena, Pierfrancesco Sueri, Salvatore Taffara, Luca Patanè |
| 2021 | MPnnet: a Motion Planning Decoding Convolutional Neural Network for EEG-based Brain Computer Interfaces. Nadia Mammone, Cosimo Ieracitano, Francesco Carlo Morabito |
| 2021 | MRC-LSTM: A Hybrid Approach of Multi-scale Residual CNN and LSTM to Predict Bitcoin Price. Qiutong Guo, Shun Lei, Qing Ye, Zhiyang Fang |
| 2021 | MRNet: a Multi-scale Residual Network for EEG-based Sleep Staging. Xue Jiang, Jianhui Zhao, Bo Du, Panfeng An, Haowen Guo, Zhiyong Yuan |
| 2021 | MSPLD: Shilling Attack Detection Model Based on Meta Self-Paced Learning. Yanjing Yang, Min Gao, Yuerang Li, Fan Wu, Jia Wang, Quanwu Zhao |
| 2021 | Machine Learning Evaluating Evolutionary Fitness Depending on Initial Conditions. Oleg A. Kuzenkov, Elena Ryabova, Amparo Garcia Garcia |
| 2021 | Machine Learning for Wind Power Forecasting. Yann Fabricio Cardoso de Figueiredo, Lídio Mauro Lima de Campos |
| 2021 | Macro Discourse Relation Recogniztion Based on Micro Discourse Structure and Self-Interactive Attention Network. Yaxin Fan, Feng Jiang, Peifeng Li, Qiaoming Zhu |
| 2021 | Mask Region-oriented Diabetic Retinopathies Detection in Ophthalmic Medical Images via Non-local Attention. Hongtian Zhao, Haoyue Peng, Zhongpai Gao, Shibao Zheng |
| 2021 | Mastering the Game of Amazons Fast by Decoupling Network Learning. GuoQi Zhang, Xiaoyang Chen, Ruidong Chang, Yuhang Zhang, Cong Wang, Luyi Bai, Junwei Wang, Changming Xu |
| 2021 | Mathematics of Trust: Controlled and Uncontrolled Influence in Social Systems. Khizar Qureshi, Eric Qiu |
| 2021 | Matrix Shuffle- Exchange Networks for Hard 2D Tasks. Emils Ozolins, Karlis Freivalds, Agris Sostaks |
| 2021 | Measuring the Ripeness of Fruit with Hyperspectral Imaging and Deep Learning. Leon Amadeus Varga, Jan Makowski, Andreas Zell |
| 2021 | Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer. James Seale Smith, Jonathan C. Balloch, Yen-Chang Hsu, Zsolt Kira |
| 2021 | Message Drives Image: A Coverless Image Steganography Framework Using Multi-Domain Image Translation. Rui Xue, Yaning Wang |
| 2021 | Meta-Adversarial Training of Neural Networks for Binary Classification. Amal Saadallah, Katharina Morik |
| 2021 | Meta-graph Embedding in Heterogeneous Information Network for Top-N Recommendation. Lin Bai, Chengye Cai, Jie Liu, Dan Ye |
| 2021 | MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection. Marius Schubert, Karsten Kahl, Matthias Rottmann |
| 2021 | Microwave Link Failures Prediction via LSTM-based Feature Fusion Network. Zichan Ruan, Shuiqiao Yang, Lei Pan, Xingjun Ma, Wei Luo, Marthie Grobler |
| 2021 | Minimizing Inference Time: Optimization Methods for Converted Deep Spiking Neural Networks. Etienne Mueller, Julius Hansjakob, Daniel Auge, Alois C. Knoll |
| 2021 | Mining Frequent and Rare Itemsets With Weighted Supports Using Additive Neural Itemset Embedding. Yi Ji, Yukio Ohsawa |
| 2021 | Mining Rare Recurring Events in Network Traffic using Second Order Contrast Patterns. Elaheh Alipour Chavary, Sarah M. Erfani, Christopher Leckie |
| 2021 | MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition. Jacek Komorowski, Monika Wysoczanska, Tomasz Trzcinski |
| 2021 | Mix-hops Graph Convolutional Networks for Skeleton-Based Action Recognition. Gang Wang, Dewei Li, Shuai Jia |
| 2021 | Mixture Density Networks for Tropical Cyclone Tracks Prediction in South China Sea. Fengyun Hao, Liang Dou, Jian Jin |
| 2021 | Model Compression in Object Detection. Andrey de Aguiar Salvi, Rodrigo C. Barros |
| 2021 | Model Performance Inspection of Deep Neural Networks by Decomposing Bayesian Uncertainty Estimates. Xiaoyi Chen, Ni Zhang |
| 2021 | Model-Agnostic Explanations using Minimal Forcing Subsets. Xing Han, Joydeep Ghosh |
| 2021 | Modeling Coverage for Non-Autoregressive Neural Machine Translation. Yong Shan, Yang Feng, Chenze Shao |
| 2021 | Modeling Edge Features with Deep Bayesian Graph Networks. Daniele Atzeni, Davide Bacciu, Federico Errica, Alessio Micheli |
| 2021 | Modeling Global Semantics for Question Answering over Knowledge Bases. Peiyun Wu, Yunjie Wu, Linjuan Wu, Xiaowang Zhang, Zhiyong Feng |
| 2021 | Modeling Long- and Short-Term User Behaviors for Sequential Recommendation with Deep Neural Networks. Cairong Yan, Yiwei Wang, Yanting Zhang, Zijian Wang, Pengwei Wang |
| 2021 | Modeling nodule growth via spatial transformation for follow-up prediction and diagnosis. Jiyu Sheng, Yan Li, Guitao Cao, Kai Hou |
| 2021 | Modelling Animal Biodiversity Using Acoustic Monitoring and Deep Learning. Carl Chalmers, Paul Fergus, Serge A. Wich, S. N. Longmore |
| 2021 | Modelling Personalized Dialogue Generation in Multi-Party Settings. Rohan Kumar, Dushyant Singh Chauhan, Gaël Dias, Asif Ekbal |
| 2021 | Modelling working memory in neuron-astrocyte network. Yuliya Tsybina, Susanna Yu Gordleeva, Mikhail Krivonosov, Innokentiy Kastalskiy, Alexey Zaikin, Alexander N. Gorban |
| 2021 | Monte Carlo Dropout Ensembles for Robust Illumination Estimation. Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Jarno Nikkanen, Moncef Gabbouj |
| 2021 | MulCoB-MulFaV: Multimodal Content Based Multilingual Fact Verification. Arjun Roy, Asif Ekbal |
| 2021 | Multi -Turn Response Selection with Temporal Gated Graph Convolutional Networks. Siyu Tao, Qian Zhao, Linlin Wang, Liang He |
| 2021 | Multi-Actor-Attention-Critic Reinforcement Learning for Central Place Foraging Swarms. Ning Yang, Qi Lu, Kele Xu, Bo Ding, Zijian Gao |
| 2021 | Multi-Agent Cognition Difference Reinforcement Learning for Multi-Agent Cooperation. Huimu Wang, Tenghai Qiu, Zhen Liu, Zhiqiang Pu, Jianqiang Yi, Wanmai Yuan |
| 2021 | Multi-Agent Combat in Non-Stationary Environments. Shengang Li, Haoang Chi, Tao Xie |
| 2021 | Multi-Aspect Controlled Response Generation in a Multimodal Dialogue System using Hierarchical Transformer Network. Mauajama Firdaus, Nidhi Thakur, Asif Ekbal |
| 2021 | Multi-Attention Based Spatial-Temporal Graph Convolution Networks for Traffic Flow Forecasting. Jun Hu, Liyin Chen |
| 2021 | Multi-Attribute Enhancement Network for Person Search. Lequan Chen, Wei Xie, Zhigang Tu, Jinglei Guo, Yaping Tao, Xinming Wang |
| 2021 | Multi-Class Mobile Money Service Financial Fraud Detection by Integrating Supervised Learning with Adversarial Autoencoders. Julio Cezar Soares Silva, David L. Macêdo, Cleber Zanchettin, Adriano L. I. Oliveira, Adiel Teixeira de Almeida Filho |
| 2021 | Multi-GPU SNN Simulation with Static Load Balancing. Dennis Bautembach, Iason Oikonomidis, Antonis A. Argyros |
| 2021 | Multi-Grounding Navigator for Self-Supervised Vision-and-Language Navigation. Zongkai Wu, Zihan Liu, Donglin Wang |
| 2021 | Multi-Label Learning with Missing Features. Junlong Li, Peipei Li, Yizhang Zou, Xuegang Hu |
| 2021 | Multi-Label Local-to-Global Feature Selection. Yan Zhong, Xingyu Wu, Bingbing Jiang, Huanhuan Chen |
| 2021 | Multi-Label Streaming Feature Selection via Class-Imbalance Aware Rough Set. Yizhang Zou, Xuegang Hu, Peipei Li, Junlong Li |
| 2021 | Multi-Modal Dialogue Policy Learning for Dynamic and Co-operative Goal Setting. Abhisek Tiwari, Tulika Saha, Sriparna Saha, Shubhashis Sengupta, Anutosh Maitra, Roshni R. Ramnani, Pushpak Bhattacharyya |
| 2021 | Multi-Modal Emotion Recognition Based On deep Learning Of EEG And Audio Signals. Zhongjie Li, Gaoyan Zhang, Jianwu Dang, Longbiao Wang, Jianguo Wei |
| 2021 | Multi-Modal Meta Continual Learning. Sibo Gai, Zhengyu Chen, Donglin Wang |
| 2021 | Multi-Modal Multi-Instance Multi-Label Learning with Graph Convolutional Network. Cheng Hang, Wei Wang, De-Chuan Zhan |
| 2021 | Multi-Modality and Multi-View 2D CNN to Predict Locoregional Recurrence in Head & Neck Cancer. Jinkun Guo, Rongfang Wang, Zhiguo Zhou, Kai Wang, Rongbin Xu, Jing Wang |
| 2021 | Multi-Scale Attention Network Based on Multi-Feature Fusion for Person Re-Identification. Minghao Li, Liming Yuan, Xianbin Wen, Jianchen Wang, Gengsheng Xie, Yansong Jia |
| 2021 | Multi-Scale Deep Nearest Neighbors. Abhijeet Chauhan, Omid Davoudi, Majid Komeili |
| 2021 | Multi-Scale Spatial Transformer Network for LiDAR-Camera 3D Object Detection. Zhifan Wang, Xiaohong Zhang, Shidong Wang, Tong Xin, Haofeng Zhang, Jianfeng Lu |
| 2021 | Multi-Task Deep Neural Networks for Multi-Document Reading Comprehension. Chang Liu, Zhuang Liu, Wayne Lin, Jun Zhao |
| 2021 | Multi-Temporal Convolutions for Human Action Recognition in Videos. Alexandros Stergiou, Ronald Poppe |
| 2021 | Multi-distorted Image Restoration with Tensor 1 × 1 Convolutional Layer. Zihao Huang, Chao Li, Feng Duan, Qibin Zhao |
| 2021 | Multi-granularity Pose Fusion Network with Views for Person Re-identification. Yong Liu, Yiming Li, Andy Song, Lin Shang |
| 2021 | Multi-modal Sign Language Recognition with Enhanced Spatiotemporal Representation. Shiwei Xiao, Yuchun Fang, Lan Ni |
| 2021 | Multi-scale Feature Relation Modeling for Facial Expression Restoration. Zhilei Liu, Yunpeng Wu, Cuicui Zhang |
| 2021 | Multi-scale anatomical awareness improves the accuracy of the real-time electric field estimation. Liang Ma, Gangliang Zhong, Zhengyi Yang, Linzhong Fan, Tianzi Jiang |
| 2021 | Multi-source based approach for Visual Domain Adaptation. Mrinalini Tiwari, Rakesh Kumar Sanodiya, Jimson Mathew, Sriparna Saha |
| 2021 | Multi-view Defense with Adversarial Autoencoders. Xuli Sun, Shiliang Sun |
| 2021 | Multi-view Geometry Consistency Network for Facial Micro-Expression Recognition From Various Perspectives. Yawen Lu, Nikola K. Kasabov, Guoyu Lu |
| 2021 | Multi-view subspace clustering with consistent and view-specific latent factors and coefficient matrices. Runkun Lu, Jian-wei Liu, Xin Zuo, Weimin Li |
| 2021 | Multimodal Traffic Travel Time Prediction. Shizhen Fan, Jianbo Li, Zhiqiang Lv, Aite Zhao |
| 2021 | Multiple Instance Relational Learning for Video Anomaly Detection. Xiwen Dengxiong, Wentao Bao, Yu Kong |
| 2021 | Multiple Object Tracking with GRU Association and Kalman Prediction. Zhen Li, Sunzeng Cai, Xiaoyi Wang, Hanyang Shao, Liang Niu, Nian Xue |
| 2021 | Multiple Run Ensemble Learning with Low-Dimensional Knowledge Graph Embeddings. Chengjin Xu, Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann |
| 2021 | Multiple Self-attention Network for Intracranial Vessel Segmentation. Yang Li, Jiajia Ni, Ahmed Elazab, Jianhuang Wu |
| 2021 | Multiplicative Attention Mechanism for Multi-horizon Time Series Forecasting. Runpeng Cui, Jianqiang Wang, Zheng Wang |
| 2021 | Multitask Learning Using BERT with Task-Embedded Attention. Lukasz Maziarka, Tomasz Danel |
| 2021 | MusCaps: Generating Captions for Music Audio. Ilaria Manco, Emmanouil Benetos, Elio Quinton, György Fazekas |
| 2021 | NIR-VIS Heterogeneous Face Synthesis via Enhanced Asymmetric CycleGAN. Yinghui Zhang, Chun Liu, Bo Sun, Jun He, Lejun Yu |
| 2021 | NPLP: A Noisy Pseudo-Label Processing Approach for Unsupervised Domain-Adaptive Person Re-ID. Tianbao Liang, Jianming Lv, Hualiang Li, Yuzhong Liu |
| 2021 | NVNet: An Enhanced Attention Network for Segmenting Neck Vascular from Ultrasound Images. Bohao Zhang, Changbo Wang, Chenhui Li |
| 2021 | Nacre: Proactive Recurrent Concept Drift Detection in Data Streams. Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe |
| 2021 | Network Mechanism Supporting Long-Distance-Dependencies. Alexis M. Dubreuil, Arthur Leblois |
| 2021 | Network Pruning via Annealing and Direct Sparsity Control. Yangzi Guo, Yiyuan She, Adrian Barbu |
| 2021 | Network-Aware SDN Load Balancer with Deep Active Learning based Intrusion Detection Model. Usman Ahmed, Jerry Chun-Wei Lin, Gautam Srivastava |
| 2021 | Neural Architecture Search Based on Evolutionary Algorithms with Fitness Approximation. Chao Pan, Xin Yao |
| 2021 | Neural Architecture Search via Combinatorial Multi-Armed Bandit. Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey |
| 2021 | Neural Blockmodeling for Multilayer Networks. Marcin Pietrasik, Marek Z. Reformat |
| 2021 | Neural Multigrid Architectures. Vladimir Fanaskov |
| 2021 | Neural Plasticity Networks. Yang Li, Shihao Ji |
| 2021 | Neural Task Success Classifiers for Robotic Manipulation from Few Real Demonstrations. Abdalkarim Mohtasib, Amir Ghalamzan E, Nicola Bellotto, Heriberto Cuayáhuitl |
| 2021 | Neural inverse optimal control applied to design therapeutic options for patients with COVID-19. Victor M. Chan, Esteban A. Hernández-Vargas, Edgar N. Sánchez |
| 2021 | Neural-network-based nonlinear iterative learning control: Magnetic brake study. Krzysztof Patan, Maciej Patan |
| 2021 | No-reference Image Quality Assessment Based on Multi-scale Convolutional Neural Network Assisted with Visual Saliency. Huajie Wang, Mei Li, Lei Chen |
| 2021 | Node Embedding using Mutual Information and Self-Supervision based Bi-level Aggregation. Kashob Kumar Roy, Amit Roy, A. K. M. Mahbubur Rahman, M. Ashraful Amin, Amin Ahsan Ali |
| 2021 | Noise Space Optimization for GANs. Matthew Amodio, Smita Krishnaswamy |
| 2021 | Noise tolerant ternary weight deep neural networks for analog in-memory inference. Jonas Doevenspeck, Peter Vrancx, Nathan Laubeuf, Arindam Mallik, Peter Debacker, Diederik Verkest, Rudy Lauwereins, Wim Dehaene |
| 2021 | Noisy Mammogram Classification Method Based on New Weighted Fusion Framework. Jianhui Zhao, Saifeng Feng, Jing Yang, Zhiyong Yuan, Wenyuan Zhao, Tingbao Zhang |
| 2021 | Non-Greedy Algorithms for Decision Tree Optimization: An Experimental Comparison. Arman Zharmagambetov, Suryabhan Singh Hada, Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán |
| 2021 | Non-divergent Imitation for Verification of Complex Learned Controllers. Vahdat Abdelzad, Jaeyoung Lee, Sean Sedwards, Soheil Soltani, Krzysztof Czarnecki |
| 2021 | Nonsynaptic Backpropagation Learning of Interval-valued Long-term Cognitive Networks. Mabel Frias Dominguez, Gonzalo Nápoles, Koen Vanhoof, Yaima Filiberto, Rafael Bello |
| 2021 | Not All Contexts are Important: The Impact of Effective Context in Conversational Neural Machine Translation. Baban Gain, Rejwanul Haque, Asif Ekbal |
| 2021 | Novel Soft Sensor Model based on Spatio-Temporal Attention. Xuan Hu, Zhiqiang Geng, Yongming Han, Wei Huang, Kai Chen, Feng Xie |
| 2021 | Numerical Exploration of Training Loss Level-Sets in Deep Neural Networks. Naveed Tahir, Garrett E. Katz |
| 2021 | OPA2D: One-Pixel Attack, Detection, and Defense in Deep Neural Networks. Hoang-Quoc Nguyen-Son, Tran Phuong Thao, Seira Hidano, Vanessa Bracamonte, Shinsaku Kiyomoto, Rie Shigetomi Yamaguchi |
| 2021 | OPAM: Online Purchasing-behavior Analysis using Machine learning. Sohini Roychowdhury, Ebrahim Alareqi, Wenxi Li |
| 2021 | OSSR-PID: One-Shot Symbol Recognition in P&ID Sheets using Path Sampling and GCN. Shubham Paliwal, Monika Sharma, Lovekesh Vig |
| 2021 | Object recognition for robotics from tactile time series data utilising different neural network architectures. Wolfgang Bottcher, Pedro Machado, Nikesh Lama, T. M. McGinnity |
| 2021 | Object-Centric Representation Learning for Video Question Answering. Long Hoang Dang, Thao Minh Le, Vuong Le, Truyen Tran |
| 2021 | ObjectAug: Object-level Data Augmentation for Semantic Image Segmentation. Jiawei Zhang, Yanchun Zhang, Xiaowei Xu |
| 2021 | Of Non-Linearity and Commutativity in BERT. Sumu Zhao, Damián Pascual, Gino Brunner, Roger Wattenhofer |
| 2021 | On Accurate Computation of Trajectory Similarity via Single Image Super-Resolution. Hanlin Cao, Haina Tang, Yulei Wu, Fei Wang, Yongjun Xu |
| 2021 | On Duality Gap as a Measure for Monitoring GAN Training. Sahil Sidheekh, Aroof Aimen, Vineet Madan, Narayanan C. Krishnan |
| 2021 | On Machine Thinking. Xiang Wu, Zejia Zheng, Juyang Weng |
| 2021 | On Post Selection Using Test Sets (PSUTS) in AI. Juyang Weng |
| 2021 | On a Possible Quantum Variational Autoencoder Circuit. Sayantan Pramanik, M. Girish Chandra |
| 2021 | On the Evaluation of Semi-Supervised 2D Segmentation for Volumetric 3D Computed Tomography Baggage Security Screening. Qian Wang, Toby P. Breckon |
| 2021 | On the Stability of Feature Selection in Multiomics Data. Luca Pestarino, Giovanni Fiorito, Silvia Polidoro, Paolo Vineis, Andrea Cavalli, Sergio Decherchi |
| 2021 | On the spatial attention in spatio-temporal graph convolutional networks for skeleton-based human action recognition. Negar Heidari, Alexandros Iosifidis |
| 2021 | On-Chip Machine Learning for Portable Systems: Application to Electroencephalography-based Brain-Computer Interfaces. Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi |
| 2021 | On-Device Content Moderation. Anchal Pandey, Sukumar Moharana, Debi Prasanna Mohanty, Archit Panwar, Dewang Agarwal, Siva Prasad Thota |
| 2021 | One Line To Rule Them All: Generating LO-Shot Soft-Label Prototypes. Ilia Sucholutsky, Nam-Hwui Kim, Ryan P. Browne, Matthias Schonlau |
| 2021 | One for All: An End-to-End Compact Solution for Hand Gesture Recognition. Monu Verma, Ayushi Gupta, Santosh Kumar Vipparthi |
| 2021 | One-Shot Imitation Learning on Heterogeneous Associated Tasks via Conjugate Task Graph. Tiancheng Huang, Feng Zhao, Donglin Wang |
| 2021 | One-shot learning for the long term: consolidation with an artificial hippocampal algorithm. Gideon Kowadlo, Abdelrahman Ahmed, David Rawlinson |
| 2021 | Online Anomalous Taxi Trajectory Detection Based on Multidimensional Criteria. Dongmei Chen, Yang Du, Shenghui Xu, Yu-e Sun, He Huang, Guoju Gao |
| 2021 | Online Multi-Object Tracking with United Siamese Network and Candidate-Refreshing Model. Donghang Chen, Xiang Zhang, Ran Tian, Yingqi Tang, Yujie Hu, Shaozhi Wu |
| 2021 | Online Virtual Training in Soft Actor-Critic for Autonomous Driving. Maryam Savari, Yoonsuck Choe |
| 2021 | Ontological Concept Structure Aware Knowledge Transfer for Inductive Knowledge Graph Embedding. Chao Ren, Le Zhang, Lintao Fang, Tong Xu, Zhefeng Wang, Senchao Yuan, Enhong Chen |
| 2021 | OpinionRank: Extracting Ground Truth Labels from Unreliable Expert Opinions with Graph-Based Spectral Ranking. Glenn Dawson, Robi Polikar |
| 2021 | Optical Flow Estimation through Fusion Network based on Self-supervised Deep Learning. Cong Liu, Dianxi Shi, Ruihao Li, Huachi Xu |
| 2021 | Optimal Tracking Control of the Boiler-turbine System Based on Adaptive Dynamic Programming. Yujia Liu, Aiguo Gao, Qinglai Wei |
| 2021 | Optimism/Pessimism Prediction of Twitter Messages and Users Using BERT with Soft Label Assignment. Ali Alshahrani, Meysam Ghaffari, Kobra Amirizirtol, Xiuwen Liu |
| 2021 | Optimization of MLP Neural Networks in 8-bit Microcontrollers using Program Memory. Caio J. B. V. Guimarães, Matheus F. Torquato, Marcelo A. C. Fernandes |
| 2021 | Optimized Computation Combining Classification and Detection Networks with Distillation. Meng Xu, Yang Gu, Stefan Poslad, Shiqing Xue |
| 2021 | Optimizing Data Locality and Termination Criterion for t-SNE. Doga Dikbayir, Balasubramaniam Shanker, Hasan Metin Aktulga |
| 2021 | Optimizing Enhanced Cost Per Click via Reinforcement Learning Without Exploration. Sinan Li, Chun Yuan, Xin Zhu |
| 2021 | OrderNet: Sorting High Dimensional Low Sample Data with Few-Shot Learning. Samuel Hess, Gregory Ditzler |
| 2021 | Organization Component Analysis: The method for extracting insights from the shape of cluster. Kaveh Mahdavi, Jesús Labarta Mancho, Judit Giménez Lucas |
| 2021 | Out-of-Distribution Detection with Uncertainty Enhanced Attention Maps. Yue Gao, Qinliang Su |
| 2021 | Outlier Detection by Privacy-Preserving Ensemble Decision Tree U sing Homomorphic Encryption. Kengo Itokazu, Lihua Wang, Seiichi Ozawa |
| 2021 | Overcoming Catastrophic Forgetting with Gaussian Mixture Replay. Benedikt Pfülb, Alexander Gepperth |
| 2021 | PACE: Posthoc Architecture-Agnostic Concept Extractor for Explaining CNNs. Vidhya Kamakshi, Uday Gupta, Narayanan C. Krishnan |
| 2021 | PANDA: Perceptually Aware Neural Detection of Anomalies. Jack W. Barker, Toby P. Breckon |
| 2021 | PD-Net: Point Dropping Network for Flexible Adversarial Example Generation with $L_{0}$ Regularization. Zhengyi Wang, Xupeng Wang, Ferdous Sohel, Yong Liao |
| 2021 | PGMANet: Pose-Guided Mixed Attention Network for Occluded Person Re-Identification. You Zhai, Xianfeng Han, Wenzhuo Ma, Xinye Gou, Guoqiang Xiao |
| 2021 | PHGNN: Position-aware Graph Neural Network for Heterogeneous Graph Embedding. Hangjun Yang, Linsen Li, Lingxuan Zhang, Junhua Tang, Zhongwei Chen |
| 2021 | PONAS: Progressive One-shot Neural Architecture Search for Very Efficient Deployment. Sian-Yao Huang, Wei-Ta Chu |
| 2021 | PP-RCNN: Point-Pillars Feature Set Abstraction for 3D Real-time Object Detection. Jiayin Tu, Ping Wang, Fuqiang Liu |
| 2021 | PSM-nets: Compressing Neural Networks with Product of Sparse Matrices. Luc Giffon, Stéphane Ayache, Hachem Kadri, Thierry Artières, Ronan Sicre |
| 2021 | PTWA: Pre-Training with Word Attention for Chinese Named Entity Recognition. Kaixin Ma, Meiling Liu, Tiejun Zhao, Jiyun Zhou, Yang Yu |
| 2021 | Parallel Scale-wise Attention Network for Effective Scene Text Recognition. Usman Sajid, Michael Chow, Jin Zhang, Taejoon Kim, Guanghui Wang |
| 2021 | Parametric q-Gaussian distributed stochastic neighbor embedding with Convolutional Neural Network. Motoshi Abe, Jun'ichi Miyao, Takio Kurita |
| 2021 | Partial Transfer Learning for Fast Evolutionary Generative Adversarial Networks. Zheping Liu, Nasser R. Sabar, Andy Song |
| 2021 | Particle Swarm Optimization Enhanced with Kernel Principal Component Analysis. Yage Wang, Wei Huang, Jinsong Wang |
| 2021 | PatchX: Explaining Deep Models by Intelligible Pattern Patches for Time-series Classification. Dominique Mercier, Andreas Dengel, Sheraz Ahmed |
| 2021 | Path Planning for Mobile Robots Based on TPR-DDPG. Yaping Zhao, Xiuqing Wang, Ruiyi Wang, Yunpeng Yang, Feng Lv |
| 2021 | Pattern-based Forecasting of Monthly Electricity Demand using Support Vector Machine. Pawel Pelka |
| 2021 | Pay Attention: Improving Classification of PE Malware Using Attention Mechanisms Based on System Call Analysis. Ori Or-Meir, Aviad Cohen, Yuval Elovici, Lior Rokach, Nir Nissim |
| 2021 | Paying Attention: Using a Siamese Pyramid Network for the Prediction of Protein-Protein Interactions with Folding and Self-Binding Primary Sequences. Junzheng Wu, Eric Paquet, Herna L. Viktor, Wojtek Michalowski |
| 2021 | Pedestrian Re-identification using a Surround-view Fisheye Camera System. Zixuan Zhao, Zihao Zhao, Song Wang, Paul Watta, Yi Lu Murphey |
| 2021 | Person Image Synthesis in Arbitrary 3D Poses Based on Part Affinity Fields. Jue Wang, Shaoli Huang, Dacheng Tao |
| 2021 | Personalized Session-Based Recommendation Using Graph Attention Networks. Yongquan Xie, Zhengru Li, Tian Qin, Finn Tseng, Johannes Kristinsson, Shiqi Qiu, Yi Lu Murphey |
| 2021 | Phase Space Reconstruction Network for Lane Intrusion Action Recognition. Ruiwen Zhang, Zhidong Deng, Hongsen Lin, Hongchao Lu |
| 2021 | Phase Transition Adaptation. Claudio Gallicchio, Alessio Micheli, Luca Silvestri |
| 2021 | Planning-integrated Policy for Efficient Reinforcement Learning in Sparse-reward Environments. Christoper Wulur, Cornelius Weber, Stefan Wermter |
| 2021 | Policy Iteration Algorithm for Constrained Cost Optimal Control of Discrete-Time Nonlinear System. Tao Li, Qinglai Wei, Hongyang Li, Ruizhuo Song |
| 2021 | Policy Optimization for Berth Allocation Problems. Cristiano Cervellera, Mauro Gaggero, Danilo Macciò |
| 2021 | Power Pooling: An Adaptive Pooling Function for Weakly Labelled Sound Event Detection. Yuzhuo Liu, Hangting Chen, Yun Wang, Pengyuan Zhang |
| 2021 | Predicting Autism Spectrum Disorder from Brain Imaging Data by Graph Convolutional Network. Yueen Ma, Da Yan, Cheng Long, D. Rangaprakash, Gopikrishna Deshpande |
| 2021 | Predicting Conversation Outcomes Using Multimodal Transformer. Can Li, Wenbo Wang, Bitty Balducci, Detelina Marinova, Yi Shang |
| 2021 | Predicting Heating Sliver in Duplex Stainless Steels Manufacturing through Rashomon Sets. Gianlucca L. Zuin, Felipe Marcelino, Lucas Borges, João Couto, Victor Jorge, Mychell Laurindo, Glaucio Barcelos, Márcio Cunha, Valdeci Alvarenga, Henrique Rodrigues, Paulo Balsamo, Adriano Veloso |
| 2021 | Prediction of Protein-Protein Interactions using Deep Multi-Modal Representations. Kanchan Jha, Sriparna Saha, Snehanshu Saha |
| 2021 | Predictive Analytics of COVID-19 with Neural Networks. Daryl L. X. Fung, Calvin S. H. Hoi, Carson K. Leung, Christine Y. Zhang |
| 2021 | Predictive PER: Balancing Priority and Diversity Towards Stable Deep Reinforcement Learning. Sanghwa Lee, Jaeyoung Lee, Ichiro Hasuo |
| 2021 | Prior Probability Estimation in Dynamically Imbalanced Data Streams. Joanna Komorniczak, Pawel Zyblewski, Pawel Ksieniewicz |
| 2021 | Privacy-Preserving Convex Factorization Machine. Jie Sun, Qi Li, Yong Jiang |
| 2021 | Privacy-Preserving Fair Machine Learning Without Collecting Sensitive Demographic Data. Hui Hu, Mike Borowczak, Zhengzhang Chen |
| 2021 | Private FLI: Anti-Gradient Leakage Recovery Data Privacy Architecture. Huichao Wang, Wei Yang, Bangzhou Xin, Yangyang Geng, Zhenbo Shi, Liusheng Huang |
| 2021 | Prototypical Inception Network with Cross Branch Attention for Time Series Classification. Jingyu Sun, Susumu Takeuchi, Ikuo Yamasaki |
| 2021 | Pruning Broad Learning System based on Adaptive Feature Evolution. Yuchen Liu, Kaixiang Yang, Zhiwen Yu, Zhulin Liu, Yifan Shi, C. L. Philip Chen |
| 2021 | Pruning the Unimportant or Redundant Filters? Synergy Makes Better. Yucheng Cai, Zhuowen Yin, Kailing Guo, Xiangmin Xu |
| 2021 | Q-SpiNN: A Framework for Quantizing Spiking Neural Networks. Rachmad Vidya Wicaksana Putra, Muhammad Shafique |
| 2021 | Quantifying Synchronization in a Biologically Inspired Neural Network. Pranav Mahajan, Advait Rane, Swapna Sasi, Basabdatta Sen Bhattacharya |
| 2021 | Quantum Convolutional Neural Network on Protein Distance Prediction. Zhenhou Hong, Jianzong Wang, Xiaoyang Qu, Xinghua Zhu, Jie Liu, Jing Xiao |
| 2021 | Quantum Correlation Revealed by Bell State for Classification Tasks. Junwei Zhang, Ruifang He, Zhao Li, Ji Zhang, Biao Wang, Zhaolin Li, Tianyuan Niu |
| 2021 | Quantum One-class Classification With a Distance-based Classifier. Nicolas M. de Oliveira, Lucas P. de Albuquerque, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir, Adenilton J. da Silva |
| 2021 | Question Generation via Multi-stage Answers Editing Network. Liuyin Wang, Dongming Sheng, Hai-Tao Zheng |
| 2021 | Quick Browser: A Unified Model to Detect and Read Simple Object in Real-time. Thao Do, Daeyoung Kim |
| 2021 | R2L: Routing With Reinforcement Learning. João Reis, Truong Khoa Phan, Morteza Kheirkhah, Fan Yang, David Griffin, Miguel Rocha, Miguel Rio |
| 2021 | RBA-CenterNet: Feature Enhancement by Rotated Border Alignment for Oriented Object Detection. Tianying Liu, Yang Wang, Siyun Hou, Wengen Li, Jihong Guan, Shuigeng Zhou, Rufu Qin |
| 2021 | RCS: An Attributed Community Search Approach Based on Representation Learning. Yaochen Guo, Xiaoyan Gu, Zhuo Wang, Haihui Fan, Bo Li, Weiping Wang |
| 2021 | RF Signal Classification using Boolean Reservoir Computing on an FPGA. Heidi Komkov, Liam Pocher, Alessandro Restelli, Brian Hunt, Daniel P. Lathrop |
| 2021 | RGNET: A Two-stage Low-light Image Enhancement Network Without Paired Supervision. Ruowang Chang, Qiong Song, Yuehuan Wang |
| 2021 | RL-GEP: Symbolic Regression via Gene Expression Programming and Reinforcement Learning. Hengzhe Zhang, Aimin Zhou |
| 2021 | RLCC: Practical Learning-based Congestion Control for the Internet. Zhenchang Xia, Jinxing Wu, Libing Wu, Jichao Yuan, Jingzhi Zhang, Jianxin Li, Dan Wu |
| 2021 | RNTS: Robust Neural Temporal Search for Time Series Classification. Zhiwen Xiao, Xin Xu, Huanlai Xing, Rong Qu, Fuhong Song, Bowen Zhao |
| 2021 | Random Deep Neural Network for Melanoma Recognition. Bartosz Swiderski, Stanislaw Osowski, Pawel Olszewski, Lukasz Gielata, Monika Slowinska, Iwona Lugowska |
| 2021 | Random Projections for Improved Adversarial Robustness. Ginevra Carbone, Guido Sanguinetti, Luca Bortolussi |
| 2021 | Random Vector Functional Link Networks for Road Traffic Forecasting: Performance Comparison and Stability Analysis. Eric L. Manibardo, Ibai Laña, Javier Del Ser |
| 2021 | Rapid Risk Minimization with Bayesian Models Through Deep Learning Approximation. Mathias Löwe, Per Lunnemann Hansen, Sebastian Risi |
| 2021 | ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning. Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness |
| 2021 | ReRankMatch: Semi-Supervised Learning with Semantics-Oriented Similarity Representation. Trung Quang Tran, Mingu Kang, Daeyoung Kim |
| 2021 | Real-time Surveillance Video Salient Object Detection Using Collaborative Cloud-Edge Deep Reinforcement Learning. Biao Hou, Junxing Zhang |
| 2021 | Recognizing Chinese Discourse Relations Based on Multi-Perspective and Hierarchical Modeling. Feng Jiang, Peifeng Li, Qiaoming Zhu |
| 2021 | Recurrent Neural Networks with Mixed Hierarchical Structures for Natural Language Processing. Zhaoxin Luo, Michael Zhu |
| 2021 | Recursive Training for Zero-Shot Semantic Segmentation. Ce Wang, Moshiur R. Farazi, Nick Barnes |
| 2021 | Redefined Fuzzy Min-Max Neural Network. Yage Wang, Wei Huang, Jinsong Wang |
| 2021 | RefBERT: Compressing BERT by Referencing to Pre-computed Representations. Xinyi Wang, Haiqin Yang, Liang Zhao, Yang Mo, Jianping Shen |
| 2021 | Region Attention Network For Single Image Super-resolution. Xiaobiao Du, Chongjin Liu, Xiaoling Yang |
| 2021 | Regularizing CTC in Expectation-Maximization Framework with Application to Handwritten Text Recognition. Likun Gao, Heng Zhang, Cheng-Lin Liu |
| 2021 | Reinforcement Learning with Potential Functions Trained to Discriminate Good and Bad States. Yifei Chen, S. Hamidreza Kasaei, Lambert Schomaker, Marco A. Wiering |
| 2021 | Reinforcement Learning-Based Insulin Injection Time And Dosages Optimization. Zihao Wang, Zhiqiang Xie, Enmei Tu, Alex Zhong, Yingying Liu, Jichang Ding, Jie Yang |
| 2021 | Reinforcement Learning-based Decentralized Optimal Control for Large-Scale Multi-agent System by Using Neural Networks and Discrete-time Mean Field Games. Zejian Zhou, Yuzhu Zhang, Hao Xu |
| 2021 | Relation Prediction for Answering Natural Language Questions over knowledge Graphs. Fen Zhao, Jie Hou, Yinguo Li, Ling Bai |
| 2021 | Relationship Aware Context Adaptive Feature Selection Framework for Image Parsing. Basim Azam, Ranju Mandal, Brijesh K. Verma |
| 2021 | Relevance-Aware Anomalous Users Detection in Social Network via Graph Neural Network. Yangyang Li, Yipeng Ji, Shaoning Li, Shulong He, Yinhao Cao, Yifeng Liu, Hong Liu, Xiong Li, Jun Shi, Yangchao Yang |
| 2021 | Reliable Agglomerative Clustering. Morteza Haghir Chehreghani |
| 2021 | Research on Inversion Algorithm of the Power Transmission Corridor Information Based on Radar Ranging. Qin Deng, Mu Lin, Zhongcai Qiu, Xinyu Tang, Zhipeng Zhou, Kun Yang |
| 2021 | Resilient Abstractive Summarization Model with Adaptively Weighted Training Loss. Shiqi Guo, Jing Zhao, Shiliang Sun |
| 2021 | Resource Efficient Mountainous Skyline Extraction using Shallow Learning. Touqeer Ahmad, Ebrahim Emami, Martin Cadík, George Bebis |
| 2021 | Rethinking Benchmarks for Neuromorphic Learning Algorithms. Qu Yang, Jibin Wu, Haizhou Li |
| 2021 | Retrieval Augmentation for Deep Neural Networks. Rita Parada Ramos, Patrícia Pereira, Helena Moniz, João Paulo Carvalho, Bruno Martins |
| 2021 | Revisit the Scalability of Deep Auto-Regressive Models for Graph Generation. Shuai Yang, Xipeng Shen, Seung-Hwan Lim |
| 2021 | Revisiting Edge Detection in Convolutional Neural Networks. Minh Le, Subhradeep Kayal |
| 2021 | Revisiting the Onsets and Frames Model with Additive Attention. Kin Wai Cheuk, Yin-Jyun Luo, Emmanouil Benetos, Dorien Herremans |
| 2021 | Reward Shaping with Dynamic Trajectory Aggregation. Takato Okudo, Seiji Yamada |
| 2021 | RipDet: A Fast and Lightweight Deep Neural Network for Rip Currents Detection. Ashraf Haroon Rashid, Imran Razzak, Muhammad Tanveer, Antonio Robles-Kelly |
| 2021 | Ripple Walk Training: A Subgraph-based Training Framework for Large and Deep Graph Neural Network. Jiyang Bai, Yuxiang Ren, Jiawei Zhang |
| 2021 | RoCo-NAS: Robust and Compact Neural Architecture Search. Vahid Geraeinejad, Sima Sinaei, Mehdi Modarressi, Masoud Daneshtalab |
| 2021 | Robust Classification Combined with Robust out-of-Distribution Detection: An Empirical Analysis. István Megyeri, István Hegedüs, Márk Jelasity |
| 2021 | Robust Deep Multi-task Learning Framework for Cancer Survival Analysis. Shuang Yun, Bo Du, Yuren Mao |
| 2021 | Robust Neural Regression via Uncertainty Learning. Akib Mashrur, Wei Luo, Nayyar Abbas Zaidi, Antonio Robles-Kelly |
| 2021 | Robust quantum classifier with minimal overhead. Daniel K. Park, Carsten Blank, Francesco Petruccione |
| 2021 | Robustness in Compressed Neural Networks for Object Detection. Sebastian Cygert, Andrzej Czyzewski |
| 2021 | Rotated Ring, Radial and Depth Wise Separable Radial Convolutions. Wolfgang Fuhl, Enkelejda Kasneci |
| 2021 | S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay. Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat |
| 2021 | SDAPNet: End-to-End Multi-task Simultaneous Detection and Prediction Network. Shanding Ye, Han Yao, Wenfu Wang, Yongjian Fu, Zhijie Pan |
| 2021 | SE-DAE: Style-Enhanced Denoising Auto-Encoder for Unsupervised Text Style Transfer. Jicheng Li, Yang Feng, Jiao Ou |
| 2021 | SEEN: Few-Shot Classification with SElf-ENsemble. Weisen Jiang, Yu Zhang, James T. Kwok |
| 2021 | SGBMN: Symplectic Group Bayesian Manifold Network for Few-shot Classification. Jingyi Ding, Fanzhang Li |
| 2021 | SIntactical Distance Attention Guided Graph Convolutional Network for aspect-based sentiment analIsis. Luwei Xiao, Donghong Gu, Yun Xue, Xiaohui Hu, Yongsheng Zhu |
| 2021 | SKGSUM: Abstractive Document Summarization with Semantic Knowledge Graphs. Xin Ji, Wen Zhao |
| 2021 | SPAD+: An Improved Probabilistic Anomaly Detector based on One-dimensional Histograms. Sunil Aryal, Arbind Agrahari Baniya, Imran Razzak, KC Santosh |
| 2021 | SRLF: A Stance-aware Reinforcement Learning Framework for Content-based Rumor Detection on Social Media. Chunyuan Yuan, Wanhui Qian, Qianwen Ma, Wei Zhou, Songlin Hu |
| 2021 | SRLF: A Stance-aware Reinforcement Learning Framework for Content-based Rumor Detection on Social Media. Chunyuan Yuan, Wanhui Qian, Qianwen Ma, Wei Zhou, Songlin Hu |
| 2021 | SSR: Explainable Session-based Recommendation. Jiayi Chen, Wen Wu, Wenxin Hu, Wei Zheng, Liang He |
| 2021 | SSRNAS: Search Space Reduced One-shot NAS by a Recursive Attention-based Predictor with Cell Tensor-flow Diagram. Yue Liu, Kai Zhu, Zitu Liu |
| 2021 | STG-Meta: Spatial-Temporal Graph Meta-Learning for Traffic Forecasting. Jiadong Li, Wang Pan, Qipu Deng, Zhi Wang, Wenwu Zhu |
| 2021 | STRIDE: Scene Text Recognition In-Device. Rachit S. Munjal, Arun D. Prabhu, Nikhil Arora, Sukumar Moharana, Gopi Ramena |
| 2021 | STSIR: A Spatial Temporal Pandemic Model with Mobility Data - A COVID-19 Study. Wang Pan, Qipu Deng, Jiadong Li, Zhi Wang, Wenwu Zhu |
| 2021 | Safe Reinforcement Learning for CPSs via Formal Modeling and Verification. Chenchen Yang, Jing Liu, Haiying Sun, Junfeng Sun, Xiang Chen, Lipeng Zhang |
| 2021 | Salience-CAM: Visual Explanations from Convolutional Neural Networks via Salience Score. Linjiang Zhou, Chao Ma, Xiaochuan Shi, Dian Zhang, Wei Li, Libing Wu |
| 2021 | Saliency Guided Discriminative Learning for Insect Pest Recognition. Qiuhong Luo, Li Wan, Lichao Tian, Zhu Li |
| 2021 | Satellite Images and Deep Learning Tools for Crop Yield Prediction and Price Forecasting. Mohamed Sadok Gastli, Lobna Nassar, Fakhri Karray |
| 2021 | Scale-aware and Anti-interference Convolutional Network for Crowd Counting. Qianqian Yang, Xiaoliang Hao, Yinfeng Xia, Sifan Peng, Baoqun Yin |
| 2021 | Scene Classification in Remote Sensing Images using Dynamic Kernels. Rajeshreddy Datla, Vishnu Chalavadi, Krishna Mohan C |
| 2021 | Scene Image Classification Based on Improved VLAD Reprensentation. Zhiyi Zhang, Xianzhong Long, Yun Li |
| 2021 | Scene-Perception Graph Convolutional Networks for Human Action Prediction. Ji'an Tao, Lu Xu, Xinyan Ma, Jianyu Yan, Kuizhi Mei |
| 2021 | ScreenSeg: On-Device Screenshot Layout Analysis. Manoj Goyal, Rachit S. Munjal, Sukumar Moharana, Deepak Garg, Debi Prasanna Mohanty, Siva Prasad Thota |
| 2021 | SeLaB: Semantic Labeling with BERT. Mohamed Trabelsi, Jin Cao, Jeff Heflin |
| 2021 | SeMo-YOLO: A Multiscale Object Detection Network in Satellite Remote Sensing Images. Peng Li, Cheng Che |
| 2021 | Seasonal-Trend decomposition based on Loess + Machine Learning: Hybrid Forecasting for Monthly Univariate Time Series. Gabriel Dalforno Silvestre, Moisés Rocha dos Santos, André C. P. L. F. de Carvalho |
| 2021 | Seasonal-trend and multiobjective ensemble learning model for water consumption forecasting. Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, José Henrique Kleinübing Larcher, José Donizetti de Lima, Viviana Cocco Mariani, Leandro dos Santos Coelho |
| 2021 | Selective Adversarial Adaptation Learning via Exclusive Regularization for Partial Domain Adaptation. Ping Li, Linlin Shen, Hefei Ling, Lei Wu, Qian Wang, Chuang Zhao |
| 2021 | Self Regulated Learning Mechanism for Data Efficient Knowledge Distillation. Sourav Mishra, Suresh Sundaram |
| 2021 | Self-Attentive Recommendation for Multi-Source Review Package. Pin-Yu Chen, Yu-Hsiu Chen, Hong-Han Shuai, Yung-Ju Chang |
| 2021 | Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs. Han Yang, Xiao Yan, Xinyan Dai, Yongqiang Chen, James Cheng |
| 2021 | Self-Supervised Deep Correlational Multi-View Clustering. Bowen Xin, Shan Zeng, Xiuying Wang |
| 2021 | Self-Supervised Pre-training for Time Series Classification. Pengxiang Shi, Wenwen Ye, Zheng Qin |
| 2021 | Self-consistent significance level as a statistical predictor of epilepsy attack. Alexey A. Kislitsyn, Yurii N. Orlov |
| 2021 | Self-supervised Contrastive Learning for EEG-based Sleep Staging. Xue Jiang, Jianhui Zhao, Bo Du, Zhiyong Yuan |
| 2021 | Self-training with Masked Supervised Contrastive Loss for Unknown Intents Detection. Zijun Liu, Yuanmeng Yan, Keqing He, Sihong Liu, Hong Xu, Weiran Xu |
| 2021 | Semantic Extraction for Sentence Representation via Reinforcement Learning. Fengying Yu, Dewei Tao, Jianzong Wang, Yanfei Hui, Ning Cheng, Jing Xiao |
| 2021 | Semantically Constrained Document-Level Chinese-Mongolian Neural Machine Translation. Haoran Li, Hongxu Hou, Nier Wu, Xiaoning Jia, Xin Chang |
| 2021 | Semantics for Global and Local Interpretation of Deep Convolutional Neural Networks. Jindong Gu, Rui Zhao, Volker Tresp |
| 2021 | Semi-paired Image-to-Image Translation using Neighbor-based Generative Adversarial Networks. Le Xu, Weiling Cai, Honghan Zhou |
| 2021 | Semi-supervised Anomaly Detection on Attributed Graphs. Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara |
| 2021 | Semi-supervised Medical Image Segmentation with Confidence Calibration. Qisen Xu, Qian Wu, Yiqiu Hu, Bo Jin, Bin Hu, Fengping Zhu, Yuxin Li, Xiangfeng Wang |
| 2021 | Semi-supervised medical image classification based on CamMix. Lingchao Guo, Changjian Wang, Dongsong Zhang, Kele Xu, Zhen Huang, Li Luo, Yuxing Peng |
| 2021 | Sensor-invariant Fingerprint ROI Segmentation Using Recurrent Adversarial Learning. Indu Joshi, Ayush Utkarsh, Riya Kothari, Vinod K. Kurmi, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra |
| 2021 | Sentence Semantic Matching with Hierarchical CNN Based on Dimension-augmented Representation. Rui Yu, Wenpeng Lu, Yifeng Li, Jiguo Yu, Guoqiang Zhang, Xu Zhang |
| 2021 | Sequence Contained Heterogeneous Graph Neural Network. Shanshan Zhang, Tiancheng Huang, Donglin Wang |
| 2021 | Sequence Metric Learning as Synchronization of Recurrent Neural Networks. Paul Compagnon, Grégoire Lefebvre, Stefan Duffner, Christophe Garcia |
| 2021 | Sequence Squeezing: A Defense Method Against Adversarial Examples for API Call-Based RNN Variants. Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach |
| 2021 | Sequence-Aware Graph Neural Network for Session-based Recommendation. Zhencheng Huang, Dehao Wu, Zhenyu Weng, Yuesheng Zhu, Zhiqiang Bai |
| 2021 | Sequential Data Imputation with Evolving Generative Adversarial Networks. Haripriya Chakraborty, Priyanka Samanta, Liang Zhao |
| 2021 | Sequential Recommendation with Context-Aware Collaborative Graph Attention Networks. Mengfei Zhang, Cheng Guo, Jiaqi Jin, Mao Pan, Jinyun Fang |
| 2021 | Sequential and Dynamic constraint Contrastive Learning for Reinforcement Learning. Weijie Shen, Lei Yuan, Junfu Huang, Songyi Gao, Yuyang Huang, Yang Yu |
| 2021 | Session-based Recommendation with Heterogeneous Graph Neural Networks. Lei Xu, Wu-Dong Xi, Chang-Dong Wang |
| 2021 | Siamese Guided Anchoring Network for Visual Tracking. Yifei Zhou, Jing Li, Jun Chang, Yafu Xiao, Jun Wan, Hang Sun |
| 2021 | SimDet: Cross Similarity Attention for One-shot Object Detection. Rujia Cai, Yingjie Qin, Lizhe Qi, Yunquan Sun |
| 2021 | Simplified Klinokinesis using Spiking Neural Networks for Resource-Constrained Navigation on the N euromorphic Processor Loihi. Apoorv Kishore, Vivek Saraswat, Udayan Ganguly |
| 2021 | Smooth Variational Graph Embeddings for Efficient Neural Architecture Search. Jovita Lukasik, David Friede, Arber Zela, Frank Hutter, Margret Keuper |
| 2021 | Social Influence Prediction with Train and Test Time Augmentation for Graph Neural Networks. Hongbo Bo, Ryan McConville, Jun Hong, Weiru Liu |
| 2021 | Social Trust Network Embedding with Hash and Graphlet. Zongzhao Xie, Wenbin Hu |
| 2021 | Soft Upper-bound Minimal Complexity LP SVMs. Shigeo Abe |
| 2021 | Soft and Hard Filter Pruning via Dimension Reduction. Linhang Cai, Zhulin An, Chuanguang Yang, Yongjun Xu |
| 2021 | Soft-Label Dataset Distillation and Text Dataset Distillation. Ilia Sucholutsky, Matthias Schonlau |
| 2021 | Solar Image Hashing by Intermediate Descriptor and Autoencoder. Rafal Grycuk, Rafal Scherer |
| 2021 | Solving the Shepherding Problem: Imitation Learning Can Acquire the Switching Algorithm. Clark Kendrick Go, Nishanth Koganti, Kazushi Ikeda |
| 2021 | Spatial Generation of Molecules with Transformers. Tim Cofala, Thomas Teusch, Oliver Kramer |
| 2021 | Spatial and Temporal Aware Graph Convolutional Network for Flood Forecasting. Jun Feng, Zhongyi Wang, Yirui Wu, Yuqi Xi |
| 2021 | Spatial-Temporal Dynamic Graph Convolution Neural Network for Air Quality Prediction. Xiaocao Ouyang, Yan Yang, Yiling Zhang, Wei Zhou |
| 2021 | Spatially Aggregated Photovoltaic Power Prediction Using Wavelet and Convolutional Neural Networks. Sarah Almaghrabi, Mashud Rana, Margaret Hamilton, Mohammad Saiedur Rahaman |
| 2021 | Spatio-Temporal Action Detector with Self-Attention. Xurui Ma, Zhigang Luo, Xiang Zhang, Qing Liao, Xingyu Shen, Mengzhu Wang |
| 2021 | Spatio-Temporal Fusion Network for Video Super-Resolution. Huabin Li, Pingjian Zhang |
| 2021 | Spatio-Temporal Look-Ahead Trajectory Prediction using Memory Neural Network. Nishanth Rao, Suresh Sundaram |
| 2021 | Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks. Sayeed Shafayet Chowdhury, Isha Garg, Kaushik Roy |
| 2021 | Special Symbol Attacks On NLP Systems. Brian Formento, See-Kiong Ng, Chuan-Sheng Foo |
| 2021 | Spectral Clustering Joint Deep Embedding Learning by Autoencoder. Xiucai Ye, Chunhao Wang, Akira Imakura, Tetsuya Sakurai |
| 2021 | SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain. Paula Harder, Franz-Josef Pfreundt, Margret Keuper, Janis Keuper |
| 2021 | Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-Organized Operational Layer. Mohammad Soltanian, Junaid Malik, Jenni Raitoharju, Alexandros Iosifidis, Serkan Kiranyaz, Moncef Gabbouj |
| 2021 | Speeding Up Reinforcement Learning by Exploiting Causality in Reward Sequences. Hongming Li, José C. Príncipe |
| 2021 | Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients. Yuyu Zhang, Heng Chi, Binghong Chen, Tsz Ling Elaine Tang, Lucia Mirabella, Le Song, Glaucio H. Paulino |
| 2021 | SpikE: spike-based embeddings for multi-relational graph data. Dominik Dold, Josep Soler Garrido |
| 2021 | Spiking Neural Networks with Laterally-Inhibited Self-Recurrent Units. Wenrui Zhang, Peng Li |
| 2021 | Statistical Tests to Identify Virtual Concept Drifts. Paulo M. Goncalves, Sylvain Chartier, Roberto Souto Maior de Barros |
| 2021 | Stochastic Gradient Langevin Dynamics with Variance Reduction. Zhishen Huang, Stephen Becker |
| 2021 | Stochastic Intervention for Causal Effect Estimation. Tri Dung Duong, Qian Li, Guandong Xu |
| 2021 | Stochastic Rounding: Algorithms and Hardware Accelerator. Mantas Mikaitis |
| 2021 | Stochastic Temporal Difference Learning for Sequence Data. Jen-Tzung Chien, Yi-Chung Chiu |
| 2021 | Stock Movement Prediction on Ex-Dividend Day Using Event Specific Features and Machine Learning Techniques. Suman Saha, Junbin Gao, Richard Gerlach |
| 2021 | Structure and Randomness in Planning and Reinforcement Learning. Konrad Czechowski, Piotr Januszewski, Piotr Kozakowski, Lukasz Kucinski, Piotr Milos |
| 2021 | Structure-Aware Hierarchical Graph Pooling using Information Bottleneck. Kashob Kumar Roy, Amit Roy, A. K. M. Mahbubur Rahman, M. Ashraful Amin, Amin Ahsan Ali |
| 2021 | Study of XAI-capabilities for early diagnosis of plant drought. Irina Maximova, Evgeny Vasiliev, Alexandra Getmanskaya, Dmitry Kior, Vladimir Sukhov, Vladimir Vodeneev, Vadim Turlapov |
| 2021 | Studying the Transferability of Non-Targeted Adversarial Attacks. Enrique Álvarez, Rafael Álvarez, Miguel Cazorla |
| 2021 | Sub-Cluster AdaCos: Learning Representations for Anomalous Sound Detection. Kevin Wilkinghoff |
| 2021 | Summary2vec: Learning Semantic Representation of Summaries for Healthcare Analytics. Samira Ghodratnama, Mehrdad Zakershahrak, Amin Beheshti |
| 2021 | Symmetric Triangle Network for Object Detection Within X-ray Baggage Security Imagery. Weifeng Zhang, Jiajia Ni, Libo Liu, Qingmao Hu |
| 2021 | Synchronization of complex networks in discrete-time for trajectory tracking using neural sliding modes with pinning control. Julio A. Flórez, Edgar N. Sánchez, Alexander G. Loukianov, Carlos J. Vega |
| 2021 | Synchronous Weight Quantization-Compression for Low-Bit Quantized Neural Network. Yuzhong Jiao, Sha Li, Xiao Huo, Yiu Kei Li |
| 2021 | Systematic Evaluation and Enhancement of Speech Recognition in Operational Medical Environments. Snigdhaswin Kar, Prabodh Mishra, Ju Lin, Minjae Woo, Nicholas Deas, Caleb Linduff, Sufeng Niu, Yuzhe Yang, Jerome McClendon, D. Hudson Smith, Melissa C. Smith, Ronald W. Gimbel, Kuang-Ching Wang |
| 2021 | Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models. Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra, Prathosh AP |
| 2021 | Systolic-Array Spiking Neural Accelerators with Dynamic Heterogeneous Voltage Regulation. Jeong-Jun Lee, Jianhao Chen, Wenrui Zhang, Peng Li |
| 2021 | TA-GAN: GAN based Traffic Augmentation for Imbalanced Network Traffic Classification. Yu Guo, Gang Xiong, Zhen Li, Junzheng Shi, Mingxin Cui, Gaopeng Gou |
| 2021 | TRANSFAKE: Multi-task Transformer for Multimodal Enhanced Fake News Detection. Quanliang Jing, Di Yao, Xinxin Fan, Baoli Wang, Haining Tan, Xiangpeng Bu, Jingping Bi |
| 2021 | TSA-GAN: A Robust Generative Adversarial Networks for Time Series Augmentation. Zheng Li, Chao Ma, Xiaochuan Shi, Dian Zhang, Wei Li, Libing Wu |
| 2021 | TT2INet: Text to Photo-realistic Image Synthesis with Transformer as Text Encoder. Jianwei Zhu, Zhixin Li, Huifang Ma |
| 2021 | TW-TGNN: Two Windows Graph-Based Model for Text Classification. Xinyu Wu, Zheng Luo, Zhanwei Du, Jiaxin Wang, Chao Gao, Xianghua Li |
| 2021 | Tag-aware Attentional Graph Neural Networks for Personalized Tag Recommendation. Ruoran Huang, Chuanqi Han, Li Cui |
| 2021 | Target detection based on Parameter Derived Network. Yuanzhong Zhang, Jun Lu, Shuxuan Feng |
| 2021 | Target-aware for Few-shot Segmentation. Xiaoliu Luo, Taiping Zhang, Zhao Duan, Jin Tan |
| 2021 | Targeted Attacks in Hierarchical Settings via Convex Programming. Ismail R. Alkhouri, George K. Atia |
| 2021 | Task-adaptive Relation Dependent Network for Few-shot Learning. Xi He, Fanzhang Li, Li Liu |
| 2021 | TeLCoS: OnDevice Text Localization with Clustering of Script. Rachit S. Munjal, Manoj Goyal, Rutika Moharir, Sukumar Moharana |
| 2021 | Technical Debt predictive model through Temporal Convolutional Network. Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino |
| 2021 | Temporal Convolutional Attention Neural Networks for Time Series Forecasting. Yang Lin, Irena Koprinska, Mashud Rana |
| 2021 | Temporal Dependent Local Learning for Deep Spiking Neural Networks. Chenxiang Ma, Junhai Xu, Qiang Yu |
| 2021 | Temporal Pattern Coding in Deep Spiking Neural Networks. Bodo Rueckauer, Shih-Chii Liu |
| 2021 | Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting. Yao Lei Xu, Giuseppe Giovanni Calvi, Danilo P. Mandic |
| 2021 | Tensorial Time Series Prediction via Tensor Neural Ordinary Differential Equations. Mingyuan Bai, Qibin Zhao, Junbin Gao |
| 2021 | Test time augmentation by regular shifting for deep denoising autoencoder networks. José A. Rodríguez-Rodríguez, Miguel A. Molina-Cabello, Rafaela Benítez-Rochel, Ezequiel López-Rubio |
| 2021 | Text Generation with Syntax - Enhanced Variational Autoencoder. Weijie Yuan, Linyi Ding, Kui Meng, Gongshen Liu |
| 2021 | Text to Image Synthesis based on Multi - Perspective Fusion. Zhiqiang Zhang, Chen Fu, Jinjia Zhou, Wenxin Yu, Ning Jiang |
| 2021 | Texture Mapping of Flags onto Polandball Characters using Convolutional Neural Nets. Simon Arvidsson, Patrick Gabrielsson, Ulf Johansson |
| 2021 | The Case Against Sentiment Analysis for Natural Text. Shamoon Siddiqui, Ghulam Rasool, Ravi Prakash Ramachandran |
| 2021 | The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers? Antonio Emanuele Cinà, Sebastiano Vascon, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo |
| 2021 | The Option Pricing Model Based on Time Values: An Application of the Universal Approximation Theory on Unbounded Domains. Yang Qu, Ming-Xi Wang |
| 2021 | Thermal Ablation Treatment Detection by means of Machine Learning. Luca Brunese, Francesco Mercaldo, Antonella Santone, Giuseppe Peter Vanoli |
| 2021 | Theta Autoregressive Neural Network: A Hybrid Time Series Model for Pandemic Forecasting. Arinjita Bhattacharyya, Swarup Chattopadhyay, Monalisha Pattnaik, Tanujit Chakraborty |
| 2021 | Think About Boundary: Fusing Multi-level Boundary Information for Landmark Heatmap Regression. Jinheng Xie, Jun Wan, Linlin Shen, Zhihui Lai |
| 2021 | Time-Aware Representation Learning of Knowledge Graphs. Zikang Wang, Linjing Li, Daniel Dajun Zeng |
| 2021 | Tiny Reservoir Computing for Extreme Learning of Motor Control. Niccolò Federici, Danilo Pau, Nicola Adami, Sergio Benini |
| 2021 | TinyOL: TinyML with Online-Learning on Microcontrollers. Haoyu Ren, Darko Anicic, Thomas A. Runkler |
| 2021 | Topic Enhanced Multi-head Co-Attention: Generating Distractors for Reading Comprehension. Pengju Shuai, Zixi Wei, Sishun Liu, Xiaofei Xu, Li Li |
| 2021 | Topological Gradient-based Competitive Learning. Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo, Eros Pasero, Giansalvo Cirrincione |
| 2021 | Toward Application of Continuous Power Forecasts in a Regional Flexibility Market. Yujiang He, Zhixin Huang, Bernhard Sick |
| 2021 | Toward Understanding Acceleration-based Activity Recognition Neural Networks with Activation Maximization. Naoya Yoshimura, Takuya Maekawa, Takahiro Hara |
| 2021 | Towards Consistent Predictive Confidence through Fitted Ensembles. Navid Kardan, Ankit Sharma, Kenneth O. Stanley |
| 2021 | Towards Feature-free TSP Solver Selection: A Deep Learning Approach. Kangfei Zhao, Shengcai Liu, Jeffrey Xu Yu, Yu Rong |
| 2021 | Towards Interpretable and Reliable Reading Comprehension: A Pipeline Model with Unanswerability Prediction. Kosuke Nishida, Kyosuke Nishida, Itsumi Saito, Sen Yoshida |
| 2021 | Towards Modeling Auditory Restoration in Noisy Environments. Yating Huang, Yunzhe Hao, Jiaming Xu, Bo Xu |
| 2021 | Towards Predictive Analytics in Mental Health Care. Amin Beheshti, Vahid Moraveji Hashemi, Shuang Wang |
| 2021 | Towards Searching Efficient and Accurate Neural Network Architectures in Binary Classification Problems. Yigit Alparslan, Ethan Jacob Moyer, Isamu Mclean Isozaki, Daniel Schwartz, Adam Dunlop, Shesh Dave, Edward Kim |
| 2021 | Towards Silhouette-Aware Human Detection in Depth Images. Huan Luo, Shuiwang Li, Qijun Zhao |
| 2021 | Towards Unbiased Random Features with Lower Variance For Stationary Indefinite Kernels. Qin Luo, Kun Fang, Jie Yang, Xiaolin Huang |
| 2021 | Towards a Method to Classify Language Style for Enhancing Conversational Systems. Paulo Rodrigo Cavalin, Victor Henrique Alves Ribeiro, Marisa Vasconcelos, Claudio S. Pinhanez, Julio Nogima, Henrique Ferreira |
| 2021 | Towards mining bilingual lexicons and parallel phrases from large-scale monolingual corpora. Shilong Wu, Xu Wang, Qiuyi Ning, Shigui Qiu |
| 2021 | Towards the Overcome of Performance Pitfalls in Data Stream Mining Tools. Lucca Portes Cavalheiro, Marco Antonio Zanata Alves, Jean Paul Barddal |
| 2021 | Training Classifiers that are Universally Robust to All Label Noise Levels. Jingyi Xu, Tony Q. S. Quek, Kai Fong Ernest Chong |
| 2021 | Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding. Gourav Datta, Souvik Kundu, Peter A. Beerel |
| 2021 | Training Ensembles of Quantum Binary Neural Networks. Daivid Leal, Tiago P. F. de Lima, Adenilton J. da Silva |
| 2021 | TransMIA: Membership Inference Attacks Using Transfer Shadow Training. Seira Hidano, Takao Murakami, Yusuke Kawamoto |
| 2021 | TransVae: A Novel Variational Sequence-to-Sequence Framework for Semi-supervised Learning and Diversity Improvement. Xinyi Wang, Tianxiang Hu, Xingzhang Ren, Jinan Sun, Kai Liu, Minghui Zhang |
| 2021 | Transfer Ability of Monolingual Wav2vec2.0 for Low-resource Speech Recognition. Cheng Yi, Jianzong Wang, Ning Cheng, Shiyu Zhou, Bo Xu |
| 2021 | Transfer Learning Application for Berries Yield Forecasting using Deep Learning. Mohita Chaudhary, Mohamed Sadok Gastli, Lobna Nassar, Fakhri Karray |
| 2021 | Transformer with Local-feature Extractor for Relation Extraction. Lihan Liu, Pengfei Li |
| 2021 | Transformer-based Relation Detect Model for Aspect-based Sentiment Analysis. Zixi Wei, Xiaofei Xu, Lijian Li, Kaixin Qin, Li Li |
| 2021 | Triplet Angular Loss for Pose-Robust Face Recognition. Zhenduo Zhang, Yongru Chen, Wenming Yang, Guijin Wang, Qingmin Liao |
| 2021 | Triplet Knowledge Distillation Networks for Model Compression. Jialiang Tang, Ning Jiang, Wenxin Yu, Wenqin Wu |
| 2021 | Trust, but Verify: Alleviating Pessimistic Errors in Model-Based Exploration. Konrad Czechowski, Tomasz Odrzygózdz, Michal Izworski, Marek Zbysinski, Lukasz Kucinski, Piotr Milos |
| 2021 | Two-Dimensional Learning Rate Decay: Towards Accurate Federated Learning with Non-IID Data. Kaiwei Mo, Chen Chen, Jiamin Li, Hong Xu, Chun Jason Xue |
| 2021 | Two-Stage Pre-Training for Sequence to Sequence Speech Recognition. Zhiyun Fan, Shiyu Zhou, Bo Xu |
| 2021 | Two-Stage Resampling for Convolutional Neural Network Training in the Imbalanced Colorectal Cancer Image Classification. Michal Koziarski |
| 2021 | Two-stage Local Spatio-temporal Event Filter based on Adaptive Thresholds. Luoxi Jing, Jun Luo, Dianxi Shi, Ruihao Li, Yuqi Zhu, Huachi Xu, Yuning Cui |
| 2021 | UCBVis: Understanding Customer Behavior Sequences with Visual Interactive System. Md. Rafiqul Islam, Imran Razzak, Xianzhi Wang, Peter Tilocca, Guandong Xu |
| 2021 | UMDSF: Unified Model With Dynamic-Static Features for Personalized Recommendation. Siyuan Lou, Yulong Wang, Tongcun Liu, Jianxin Liao |
| 2021 | UMVD-FSL: Unseen Malware Variants Detection Using Few-Shot Learning. Candong Rong, Gaopeng Gou, Chengshang Hou, Zhen Li, Gang Xiong, Li Guo |
| 2021 | USET : A network based on Utterance hidden State transfEr for Task-oriented dialogue. Shezheng Song, Changjian Wang, Dongsong Zhang, Yuxing Peng, Yuan Yuan, Li Luo |
| 2021 | UUCT - HyMP: Towards Tracking Dispersed Crowd Groups from UAVs. Tonmoay Deb, Mahieyin Rahmun, Shahriar Ali Bijoy, Mayamin Hamid Raha, Mohammad Ashrafuzzaman Khan |
| 2021 | Uncertain Inference Using Ordinal Classification in Deep Networks for Acoustic Localization. Steven Whitaker, Zach Dekraker, Andrew Barnard, Timothy C. Havens, George D. Anderson |
| 2021 | Uncertainty Quantification for the Required Fossil Fuel Generation in a Smart Grid. Hussain Mohammed Dipu Kabir, Abbas Khosravi, Md Shihanur Rahman, Mohammad Anwar Hosen, Saeid Nahavandi |
| 2021 | Uncertainty-Aware Boosted Ensembling in Multi-Modal Settings. Utkarsh Sarawgi, Rishab Khincha, Wazeer Zulfikar, Satrajit Ghosh, Pattie Maes |
| 2021 | Undersampling with Support Vectors for Multi-Class Imbalanced Data Classification. Bartosz Krawczyk, Colin Bellinger, Roberto Corizzo, Nathalie Japkowicz |
| 2021 | Understanding Neural Responses to Face Verification of Cross-Domain Representations. Maneet Singh, Shruti Nagpal, Daksha Yadav, Naman Kohli, Prateekshit Pandey, Gokulraj Prabhakaran, Richa Singh, Mayank Vatsa, Afzel Noore, Julie Brefczynski-Lewis, Harsh Mahajan |
| 2021 | Unified Batch All Triplet Loss for Visible-Infrared Person Re-identification. Wenkang Li, Ke Qi, Wenbin Chen, Yicong Zhou |
| 2021 | Unified Spatio-Temporal Modeling for Traffic Forecasting using Graph Neural Network. Amit Roy, Kashob Kumar Roy, Amin Ahsan Ali, M. Ashraful Amin, A. K. M. Mahbubur Rahman |
| 2021 | Universal Transformer Hawkes process. Lu-ning Zhang, Jian-wei Liu, Zhi-yan Song, Xin Zuo, Weimin Li, Ze-Yu Liu |
| 2021 | UnrealROX+: An Improved Tool for Acquiring Synthetic Data from Virtual 3D Environments. Pablo Martinez-Gonzalez, Sergiu Oprea, John Alejandro Castro-Vargas, Alberto Garcia-Garcia, Sergio Orts-Escolano, José García Rodríguez, Markus Vincze |
| 2021 | Unsupervised Approach for Knowledge-Graph Creation from Conversation: The Use of Intent Supervision for Slot Filling. Zishan Ahmad, Asif Ekbal, Shubhashis Sengupta, Anutosh Maitra, Roshni R. Ramnani, Pushpak Bhattacharyya |
| 2021 | Unsupervised Controllable Generation with Self-Training. Grigorios G. Chrysos, Jean Kossaifi, Zhiding Yu, Anima Anandkumar |
| 2021 | Unsupervised Discovery of Transitional Skills for Deep Reinforcement Learning. Qiangxing Tian, Jinxin Liu, Guanchu Wang, Donglin Wang |
| 2021 | Unsupervised Dynamic Network Embedding Using Global Information. Junyou Zhu, Zheng Luo, Fan Zhang, Haiqiang Wang, Jiaxin Wang, Chao Gao |
| 2021 | Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel Machine. Francesco Tonin, Arun Pandey, Panagiotis Patrinos, Johan A. K. Suykens |
| 2021 | Unsupervised Learning of Explainable Parse Trees for Improved Generalisation. Atul Sahay, Ayush Maheshwari, Ritesh Kumar, Ganesh Ramakrishnan, Manjesh Kumar Hanawal, Kavi Arya |
| 2021 | Unsupervised Post-Tuning of Deep Neural Networks. Christophe Cerisara, Paul Caillon, Guillaume Le Berre |
| 2021 | Unsupervised heterogeneous transfer fault diagnosis based on graph Laplacian common subspace. Zhanfeng Xu, Juan Xu, Liping Chai, Weihua Zhao, Yuqi Fan |
| 2021 | Unsupervised low-light Image Enhancement with Quality-Task-Perception Loss. Haoming Guo, Wei Xu, Song Qiu |
| 2021 | User Identification across Social Networking Sites using User Profiles and Posting Patterns. Prashant Solanki, Kwan Hui Lim, Aaron Harwood |
| 2021 | User Preference Prediction in Visual Data on Mobile Devices. Andrey V. Savchenko |
| 2021 | Using Expert Knowledge for Masking Irrelevant Data Streams in Siamese Networks for the Detection and Prediction of Faults. Patrick Klein, Niklas Weingarz, Ralph Bergmann |
| 2021 | Using Negative Detectors for Identifying Adversarial Data Manipulation in Machine Learning. Kishor Datta Gupta, Dipankar Dasgupta |
| 2021 | Using Social Media Background to Improve Cold-Start Recommendation Deep Models. Yihong Zhang, Takuya Maekawa, Takahiro Hara |
| 2021 | Utilization of Question Categories in Multi-Document Machine Reading Comprehension. Shaomin Zheng, Meng Yang, Yongjie Huang, Peiqin Lin |
| 2021 | VDGAN: A Collaborative Filtering Framework Based on Variational Denoising with GANs. Weifeng Sun, Shumiao Yu, Boxiang Dong |
| 2021 | Variance Stabilised Optimisation of Neural Networks: A Case Study in Additive Manufacturing. Scott V. Notley, Yunhui Chen, Peter D. Lee, George Panoutsos |
| 2021 | Variational Autoencoder Inverse Mapper: An End-to-End Deep Learning Framework for Inverse Problems. Manal Almaeen, Yasir Alanazi, Nobuo Sato, Wally Melnitchouk, Michelle P. Kuchera, Yaohang Li |
| 2021 | Vehicle Trajectory Clustering in Urban Road Network Environment Based on Doc2Vec Model. Jun Kang, Haosen Ma, Zongtao Duan, Haojian He |
| 2021 | Versatile Deep Learning Based Application for Time Series Imputation. Muhammad Saad, Mohita Chaudhary, Lobna Nassar, Fakhri Karray, Vincent C. Gaudet |
| 2021 | Vertically-nested Network for Automatic Vessel Segmentation. Song Guo, Xiaojuan Chen, Yueping Kong |
| 2021 | Virtual label expansion-Highlighted key features for few-shot learning. Xinlong Hu, Zhenyu Yang, Guojing Liu, Qiao Liu, Hao Wang |
| 2021 | VirtualGAN: Reducing Mode Collapse in Generative Adversarial Networks Using Virtual Mapping. Adel Abusitta, Omar Abdel Wahab, Benjamin C. M. Fung |
| 2021 | VisDG: Towards Spontaneous Visual Dialogue Generation. Qichuan Yang, Liuxin Zhang, Yang Zhang, Jinghua Gao |
| 2021 | Vision-and-Dialog Navigation by Fusing Cross-modal features. Hongxu Nie, Min Dong, Sheng Bi |
| 2021 | Visual Explanation using Attention Mechanism in Actor-Critic-based Deep Reinforcement Learning. Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura |
| 2021 | Visual Global Localization Based on Deep Neural Netwoks for Self-Driving Cars. Thiago Gonçalves Cavalcante, Thiago Oliveira-Santos, Alberto F. De Souza, Claudine Badue, Avelino Forechi |
| 2021 | Visual-Semantic Dual Channel Network for Visual Question Answering. Xin Wang, Qiaohong Chen, Ting Hu, Qi Sun, Yubo Jia |
| 2021 | Volume-preserving Neural Networks. Gordon MacDonald, Andrew Godbout, Bryn Gillcash, Stephanie Cairns |
| 2021 | Volume-preserving Recurrent Neural Networks (VPRNN). William Taylor-Melanson, Gordon MacDonald, Andrew Godbout |
| 2021 | Volumetric Modulated Arc Therapy Dose Distribution Prediction for Breast Cancer Patients: CNN Approach. Zuzanna Krawczyk, Robert Szmurlo, Pawel Zawadzki, Estera Kot, Jacek Starzynski, Anna Zawadzka |
| 2021 | WLAMr-DDH: Weighted Laterals With Augmentation Mask for Discriminative Deep Hashing for Face Image Retrieval. Fazail Amin, Arijit Mondal, Jimson Mathew |
| 2021 | Wasserstein Distance-Based Domain Adaptation and Its Application to Road Segmentation. Seita Kono, Takaya Ueda, Enrique Arriaga-Varela, Ikuko Nishikawa |
| 2021 | Watermarking-based Defense against Adversarial Attacks on Deep Neural Networks. Xiaoting Li, Lingwei Chen, Jinquan Zhang, James R. Larus, Dinghao Wu |
| 2021 | Wavelet J-Net: A Frequency Perspective on Convolutional Neural Networks. Linfeng Zhang, Xiaoman Zhang, Chenglong Bao, Kaisheng Ma |
| 2021 | Wavelet-Temporal Neural Network for Multivariate Time Series Prediction. Jianing He, Xiaolong Gong, Linpeng Huang |
| 2021 | Weakly Labeled Semi-Supervised Sound Event Detection with Multi-Scale Residual Attention. Maolin Tang, Qijun Zhao, Zhengxi Liu |
| 2021 | When Hearing the Voice, Who Will Come to Your Mind. Zhenhou Hong, Jianzong Wang, Wenqi Wei, Jie Liu, Xiaoyang Qu, Bo Chen, Zihang Wei, Jing Xiao |
| 2021 | Wind Speed Forecasting via Multi-task Learning. Gabriel R. Lencione, Fernando J. Von Zuben |
| 2021 | Word Sense Disambiguation based on Sequence Topic Model using sense dependency. Qi Yang, Ruixuan Li, Yuhua Li, Xiwu Gu |
| 2021 | Word-Level Textual Adversarial Attack in the Embedding Space. Bin Zhu, Zhaoquan Gu, Yushun Xie, Danni Wu, Yaguan Qian, Le Wang |
| 2021 | You Get What You Focus on: A Weighting Factor for IoU-based Regression Loss. Xinyu Gu, Chao Gao, Zheng Lu, Tianxiang Cui |
| 2021 | ZED-TTE: Zone Embedding and Deep Neural Network based Travel Time Estimation Approach. Chahinez Ounoughi, Taoufik Yeferny, Sadok Ben Yahia |
| 2021 | Zero-Shot Learning with Missing Attributes using Semantic Correlations. Ali Braytee, Mohamad Naji, Ali Anaissi, Kunal Chaturvedi, Mukesh Prasad |
| 2021 | Zero-shot learning compound fault diagnosis of bearings. Juan Xu, Long Zhou, Weihua Zhao, Yuqi Fan, Xu Ding |
| 2021 | Zhang Neural Network Model for Solving LQ Decomposition Problem of Dynamic Matrix With Application to Mobile Object Localization. Jinjin Guo, Binbin Qiu, Min Yang, Yunong Zhang |
| 2021 | entity2item: Leveraging Knowledge Graph Embedding for Item Recommendation. Yuan Yuan, Yan Tang, Luomin Du, Xiaotong Li |
| 2021 | iPMDS: Interactive Probabilistic Multidimensional Scaling. Viet Minh Vu, Adrien Bibal, Benoît Frénay |
| 2021 | partial-FORCE: A fast and robust online training method for recurrent neural networks. Hiroto Tamura, Gouhei Tanaka |