| 2023 | "Find the Table": A Contrastive Learning-based Approach with Faster RCNN for Establishing Tabular Entity Relationships. Sarmistha Das, Tuhinangshu Gangopadhyay, Atulya Deep, Sriparna Saha, Alka Maurya |
| 2023 | 10X Faster Subgraph Matching: Dual Matching Networks with Interleaved Diffusion Attention. Thanh Toan Nguyen, Quang Duc Nguyen, Zhao Ren, Jun Jo, Quoc Viet Hung Nguyen, Thanh Tam Nguyen |
| 2023 | 3D Super Resolution for Non-Isotropic Medical Image Through Multi-Input 3D ResUnet. Youjin Seo, ByeongChang Jeong, Yeji Yoon, Daegyeom Kim, Juhong Min, Cheol E. Han |
| 2023 | 3DSEAVNet: 3D-Squeeze-and-Excitation Networks for Audio-Visual Saliency Prediction. Silong Liang, Chunxiao Li, Naying Cui, Minghui Sun, Hao Xue |
| 2023 | A Bidirectional Tree Tagging Scheme for Joint Medical Relation Extraction. Xukun Luo, Weijie Liu, Meng Ma, Ping Wang |
| 2023 | A Bio-Inspired Computational Astrocyte Model for Spiking Neural Networks. Jacob Kiggins, J. David Schaffer, Cory E. Merkel |
| 2023 | A Brain-inspired Fully Hardware Hopfield Neural Network based on Memristive Arrays. Zilu Wang, Xin Yao |
| 2023 | A Character-level Short Text Classification Model Based On Spiking Neural Networks. Chengzhi Jiang, Linjing Li, Daniel Dajun Zeng, Xiaoxuan Wang |
| 2023 | A Comparison of Neural Word Embedding Language Models for Classifying Social Media Users in the Healthcare Context. Enrico De Santis, Alessio Martino, Francesca Ronci, Antonello Rizzi |
| 2023 | A Comparison of Temporal Encoders for Neuromorphic Keyword Spotting with Few Neurons. Mattias Nilsson, Ton Juny Pina, Lyes Khacef, Foteini Liwicki, Elisabetta Chicca, Fredrik Sandin |
| 2023 | A Deep Fusion Model for Human $vs$. Machine-Generated Essay Classification. Roberto Corizzo, Sebastian Leal-Arenas |
| 2023 | A Deep News Headline Generation Model with REINFORCE Filter. Aobo Xu, Ling Jian |
| 2023 | A Determinantal Point Process Based Novel Sampling Method of Abstractive Text Summarization. Jianbin Shen, Junyu Xuan, Christy Jie Liang |
| 2023 | A Framework for Identifying Diabetic Retinopathy Based on patch attention and lesion location. Zhuoqun Xia, Hangyu Hu, Wenjing Li, Qisheng Jiang, Chengzhang Zhu, Ziwei Zou |
| 2023 | A General Heterogeneous Hypergraph Neural Network for Node Classification. Bingde Hu, Wenjie Huang, Tongya Zheng, Mingli Song, Ying Li |
| 2023 | A Generative Approach to Audio-Visual Generalized Zero-Shot Learning: Combining Contrastive and Discriminative Techniques. Qichen Zheng, Jie Hong, Moshiur Farazi |
| 2023 | A Generative Data Augmentation Trained by Low-quality Annotations for Cholangiocarcinoma Hyperspectral Image Segmentation. Kaijie Dai, Zehao Zhou, Song Qiu, Yan Wang, Mei Zhou, Mingshuai Li, Qingli Li |
| 2023 | A Graph-based Context Learning Technique for Image Parsing. Basim Azam, Brijesh K. Verma |
| 2023 | A Hierarchical Vision Transformer Using Overlapping Patch and Self-Supervised Learning. Yaxin Ma, Ming Li, Jun Chang |
| 2023 | A Low Power and Low Latency FPGA-Based Spiking Neural Network Accelerator. Hanwen Liu, Yi Chen, Zihang Zeng, Malu Zhang, Hong Qu |
| 2023 | A Mixture of Experts with Adaptive Semantic Encoding for Event Detection. Zhongqiu Li, Yu Hong, Shiming He, Shuai Yang, Guodong Zhou |
| 2023 | A Multi-Agent Framework for Recommendation with Heterogeneous Sources. Yabin Zhang, Weiqi Shao, Xu Chen, Yali Du, Xiaoxiao Xu, Dong Zheng, Changhua Pei, Shuai Zhang, Peng Jiang, Kun Gai |
| 2023 | A Multi-Modal Approach for the Detection of Account Anonymity on Social Media Platforms. Bo Wang, Jie Guo, Zheng Huang, Weidong Qiu |
| 2023 | A Multi-correspondence Object Detection Algorithm Based on Keypoints. Deqi Liu, Aimin Li, Mengfan Cheng, Dexu Yao, Xiaohan Liu |
| 2023 | A Multi-feature Integration Descriptor for Instance Image Retrieval. Qiaoping He |
| 2023 | A Multi-modal Multi-task based Approach for Movie Recommendation. Subham Raj, Prabir Mondal, Daipayan Chakder, Sriparna Saha, Naoyuki Onoe |
| 2023 | A Multi-task Learning Model for Gold-two-mention Co-reference Resolution. Ruicheng Liu, Guanyi Chen, Rui Mao, Erik Cambria |
| 2023 | A Multi-task Network with Centerline Supervision for 3D Pelvis Artery Segmentation on CECT images. Junjie Cui, Yi Zhang, Min Xie, Haixian Zhang |
| 2023 | A Multimodal Hierarchical Variational Autoencoder for Saliency Detection. Zhengyang Yu, Jing Zhang, Nick Barnes |
| 2023 | A Multiple Command UAV Control System Based on a Hybrid Brain-Computer Interface. Qingfu Wu, Shanghong Xie, Zhen Zeng, Qian Huang, Jiahui Pan |
| 2023 | A Multiscale Dynamic Temporal Convolution Network For Continuous Dimensional Emotion Recognition. Min Hu, Jialu Sun, Xiaohua Wang, Ning An |
| 2023 | A Neurally Guided Patch-Based Style Transfer for Mobile Devices. Jose Ivson S. Silva, Kevin Ian Ruiz Vargas, Antônio A. Carlos, Lucas P. de Albuquerque, Mateus Baltazar de Almeida, Allan Soares Vasconcelos, Victor Ximenes C. Oliveira, José Gabriel P. Tavares, Danilo Vaz Marcolino Alves, Diêgo J. C. Santiago, Bernardo Augusto de Oliveira, Carlos Padilha, Tsang Ing Ren |
| 2023 | A Neuro-Symbolic Approach for Enhanced Human Motion Prediction. Sariah Mghames, Luca Castri, Marc Hanheide, Nicola Bellotto |
| 2023 | A New Spatial Pooler Algorithm Based on Heterogeneous Hash Group. Dejiao Niu, Zhidong Wang, Tao Cai, Lei Li, Jie Jiang, Yuhan Chen, Zhuoran Li |
| 2023 | A New Time Series Framework for Forest Fire Risk Forecasting and Classification. Bruna Zamith Santos, Balbina Maria Araujo Soriano, Marcelo Gonçalves Narciso, Diego Furtado Silva, Ricardo Cerri |
| 2023 | A Non-Targeted Attack Approach for the Coarse Misclassification Problem. Ismail R. Alkhouri, Alvaro Velasquez, George K. Atia |
| 2023 | A Novel Clinical Trial Prediction-Based Factual Inconsistency Detection Approach for Medical Text Summarization. Shuaimin Li, Jungang Xu |
| 2023 | A Novel Control-Variates Approach for Performative Gradient-Based Learners with Missing Data. Xing Han, Jing Hu, Joydeep Ghosh |
| 2023 | A Novel Cross-Fusion Method of Different Types of Features for Image Captioning. Liangshan Lou, Ke Lu, Jian Xue |
| 2023 | A Novel End-to-End Transformer for Scene Graph Generation. Chengkai Ren, Xiuhua Liu, Mengyuan Cao, Jian Zhang, Hongwei Wang |
| 2023 | A Novel Ergodic Sequential Logic CPG: Efficient FPGA Implementation and Realizations of Various Gaits and their Safe Transitions. Kento Nakamura, Hiroyuki Torikai |
| 2023 | A Novel Framework for Multi-Source Domain Adaptation with Discriminative Feature Learning. Sampreeth Jangala, Rakesh Kumar Sanodiya |
| 2023 | A Novel Hybrid Model Based on Deep Learning and Autoregressive for Air Quality Prediction. Can Wang, Minghua Zhu |
| 2023 | A Novel Score-CAM based Denoiser for Spectrographic Signature Extraction without Ground Truth. Noel Elias |
| 2023 | A Novel Sequential Recommendation Model Based on the Filter and Model Augmentation. Tianci Yu, Jianxia Chen |
| 2023 | A Person Re-Identification Method Incorporating Multigrain Features and Human Body Knowledge. Jiayang Wang, Zheng Wan, Chao Wang, Wenwen Du |
| 2023 | A Protocol for Testing Conscious Learning Robots. Juyang Weng |
| 2023 | A RoBERTa-GlobalPointer-Based Method for Named Entity Recognition of Legal Documents. Xinrui Zhang, Xudong Luo, Jiaye Wu |
| 2023 | A Robust Ensemble Regression Model for Reconstructing Genetic Networks. Hasini Nakulugamuwa Gamage, Madhu Chetty, Suryani Lim, Jennifer Hallinan, Huy Nguyen |
| 2023 | A Robust Hybrid Identification Framework Combines Gait And Face Recognition. Shijun Zou, Wei Wu |
| 2023 | A Robust Two-Dimensional DOA Estimation Approach Based on Convolutional Attention Network. Rui Xiao, Ming-Yi You, Rui Zhou, Qingjiang Shi |
| 2023 | A Scalable GPT-2 Inference Hardware Architecture on FPGA. Anil Yemme, Shayan Srinivasa Garani |
| 2023 | A Semantic and Structural Transformer for Code Summarization Generation. Ruyi Ji, Zhenyu Tong, Tiejian Luo, Jing Liu, Libo Zhang |
| 2023 | A Semantic-Oriented Pipeline for 3D Reconstruction of Vehicles in Urban Scenes. Matteo Frosi, Matteo Bellusci, Marco Amoruso, Matteo Matteucci |
| 2023 | A Semi-Supervised Learning Method for Spiking Neural Networks Based on Pseudo-Labeling. Thao N. N. Nguyen, Bharadwaj Veeravalli, Xuanyao Fong |
| 2023 | A Sequence Tagging based Framework for Few-Shot Relation Extraction. Xukun Luo, Ping Wang |
| 2023 | A Simple Semantics and Topic-aware Method to Enhance Abstractive Summarization. Jiangnan Du, Xuan Fu, Jianfeng Li, Cuiqin Hou, Qiyu Zhou, Hai-Tao Zheng |
| 2023 | A Spiking Neural Network Learning Markov Chain. Mikhail V. Kiselev, Alexander Ivanitsky, Andrey Lavrentyev |
| 2023 | A Symbolic-Neural Reasoning Model for Visual Question Answering. JingYing Gao, Alan Blair, Maurice Pagnucco |
| 2023 | A Temporal Attention-based Model for Social Event Prediction. Yinsen Wang, Xin Zhang, Yan Pan, Zexin Fu |
| 2023 | A Three-Stage Pipeline for Conditional Entity and Relation Extraction. Jiahao Wang, Jing Yang |
| 2023 | A Trigger-Free Method Enhanced by Coreference Information for Document-Level Event Extraction. Fumin Chen, Xu Wang, Xiaohui Liu, Dezhong Peng |
| 2023 | A Two-stream Channel Cross Enhancement Network for Diabetic Retinopathy Classification. Zhuoqun Xia, Qisheng Jiang, Wenjing Li, Hangyu Hu, Chengzhang Zhu, Ziwei Zou |
| 2023 | A Unified Framework of Deep Neural Networks and Gappy Proper Orthogonal Decomposition for Global Field Reconstruction. Xiaoyu Zhao, Zhiqiang Gong, Xiaoqian Chen, Wen Yao, Yunyang Zhang |
| 2023 | A biologically-inspired locally-connected spiking network for efficient and robust ground reaction force estimation in a legged robot. Paolo Arena, Maria Francesca Pia Cusimano, Luca Patané, Poramate Manoonpong |
| 2023 | A fast reservoir computing based image encryption algorithm. Daniel Köglmayr, Christoph Räth |
| 2023 | A feature engineering method for machine learning inspired by quantum mechanics. Juntao Zhang, Peng Cheng, Zehan Li, Hao Wu, Wenbo An, Jun Zhou |
| 2023 | A novel hardware-efficient ergodic sequential logic spiking neural network and reproductions of biologically plausible spatio-temporal phenomena towards development of neural prosthetic device. Yuta Shiomi, Hiroyuki Torikai |
| 2023 | A novel hardware-efficient liquid state machine of non-simultaneous CA-based neurons for spatio-temporal pattern recognition. Kentaro Takeda, Hiroyuki Torikai |
| 2023 | A two-layer BiLSTM model with linear gating for Chinese named entity recognition. Hongzhen Cui, Longhao Zhang, Wen Wu, Yunfeng Peng |
| 2023 | AI for Learning Deformation Behavior of a Material: Predicting Stress-Strain Curves 4000x Faster Than Simulations. Yuwei Mao, Shahriyar Keshavarz, Vishu Gupta, Andrew C. E. Reid, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal |
| 2023 | AKD: Using Adversarial Knowledge Distillation to Achieve Black-box Attacks. Xin Lian, Zhiqiu Huang, Chao Wang |
| 2023 | AMD: Adaptive Masked Distillation for Object Detection. Guang Yang, Yin Tang, Jun Li, Jianhua Xu, Xili Wan |
| 2023 | Accelerating SNN Training with Stochastic Parallelizable Spiking Neurons. Sidi Yaya Arnaud Yarga, Sean U. N. Wood |
| 2023 | Accelerating Self-Imitation Learning from Demonstrations via Policy Constraints and Q-Ensemble. Chao Li, Fengge Wu, Junsuo Zhao |
| 2023 | Accommodating Self-attentional Heterophily Topology into High- and Low-pass Graph Convolutional Network for Skeleton-based Action Recognition. Chao Wei, Zhidong Deng |
| 2023 | Action Reinforcement and Indication Module for Single-frame Temporal Action Localization. Zikang Yu, Cheng Cheng, Wujun Wen, Wenxuan Guo, Lin Feng |
| 2023 | Active Learning for Video Classification with Frame Level Queries. Debanjan Goswami, Shayok Chakraborty |
| 2023 | Adapt-to-Learn Policy Network for Abstractive Multi-document Summarization. Hongzhang Mu, Shuili Zhang, Quangang Li, Tingwen Liu, Hongbo Xu |
| 2023 | AdaptParse: Adaptive Contextual Aware Attention Network for Log Parsing via Word Classification. Haitian Yang, Degang Sun, Yan Wang, Nan Zhao, Shixiang Zhang, Weiqing Huang |
| 2023 | Adaptive Consensus Optimization Method for GANs. Sachin Kumar Danisetty, Santhosh Reddy Mylaram, Pawan Kumar |
| 2023 | Adaptive Learning Rate for Unsupervised Learning of Deep Neural Networks. Vladimir A. Golovko, Egor Mikhno, Aliaksandr Kroschanka, Marta Chodyka, Piotr Lichograj |
| 2023 | Adaptive Linear Regression for Data Stream. Aldo Marcelo Paim, Fabrício Enembreck |
| 2023 | Adaptive Multi-Resolution Attention with Linear Complexity. Yao Zhang, Yunpu Ma, Thomas Seidl, Volker Tresp |
| 2023 | Adaptive Priority Reweighing for Generalizing Fairness Improvement. Zhihao Hu, Yiran Xu, Xinmei Tian |
| 2023 | Adaptive Topological Graph Learning for Generalized Multi-View Clustering. Wenjue He, Zheng Zhang |
| 2023 | Adaptive sparseness for correntropy-based robust regression via automatic relevance determination. Yuanhao Li, Badong Chen, Okito Yamashita, Natsue Yoshimura, Yasuharu Koike |
| 2023 | AdaptiveTune: Adaptive Value With Bernoulli Noise Can Help Us Finetune Better. Yi Wang, Shanliang Pan |
| 2023 | Addressing Performance Inconsistency in Domain Generalization for Image Classification. Jamie Stirling, Noura Al Moubayed |
| 2023 | Advantage Constrained Proximal Policy Optimization in Multi-Agent Reinforcement Learning. Weifan Li, Yuanheng Zhu, Dongbin Zhao |
| 2023 | Adversarial Domain Adaptation Network with Enhanced Feature Discriminability for Thyroid Ultrasound Images. Xuewei Li, Pinjie Li, Ruixuan Zhang, Chenhan Wang, Xi Wei, Mankun Zhao |
| 2023 | AfriWOZ: Corpus for Exploiting Cross-Lingual Transfer for Dialogue Generation in Low-Resource, African Languages. Tosin P. Adewumi, Mofetoluwa Adeyemi, Aremu Anuoluwapo, Bukola Peters, Happy Buzaaba, Oyerinde Samuel, Amina Mardiyyah Rufai, Benjamin Ajibade, Tajudeen Gwadabe, Mory Moussou Koulibaly Traore, Tunde Oluwaseyi Ajayi, Shamsuddeen Hassan Muhammad, Ahmed Baruwa, Paul Owoicho, Tolúlopé Ògúnrèmí, Phylis Ngigi, Orevaoghene Ahia, Ruqayya Nasir, Foteini Liwicki, Marcus Liwicki |
| 2023 | Agile gesture recognition for capacitive sensing devices: adapting on-the-job. Ying Liu, Liucheng Guo, Valeri A. Makarov, Yuxiang Huang, Alexander N. Gorban, Evgeny M. Mirkes, Ivan Yu. Tyukin |
| 2023 | Alfvén eigenmode detection using Long-Short Term Memory Networks and CO2 Interferometer data on the DIII-D National Fusion Facility. Alvin V. Garcia, Azarakhsh Jalalvand, Peter Steiner, Andrew Rothstein, Michael Van Zeeland, William W. Heidbrink, Egemen Kolemen |
| 2023 | Algorithmic Recourse in Mental Healthcare. Anísio Lacerda, Claudio Almeida, Leonardo Augusto Ferreira, Adriano C. M. Pereira, Gisele L. Pappa, Wagner Meira Jr., Débora M. Miranda, Marco Aurélio Romano-Silva, Leandro Malloy Diniz |
| 2023 | All for Goals: a Stylized Automated Analysis Framework in Football Matches. Min Chen, Zhiqiang Pu, Yi Pan, Jianqiang Yi, Yixiong Cui, Lida Du |
| 2023 | An Anchor-Free Detector to Detect Small Objects. Tingting Hu, Tao Zhang |
| 2023 | An Anchor-Semantics-Aware Neural Preference Propagation Model for Session-based Recommendation. Yaxuan Ye, Ning Yang |
| 2023 | An Answer FeedBack Network for Visual Question Answering. Weidong Tian, Ruihua Tian, Zhongqiu Zhao, Quan Ren |
| 2023 | An Autonomous Non-monolithic Agent with Multi-mode Exploration based on Options Framework. Jaeyoon Kim, Junyu Xuan, Christy Jie Liang, Farookh Khadeer Hussain |
| 2023 | An Efficient Frequency Domain Separation Network for Paired and Unpaired Image Super-Resolution. Huan Liu, Mingwen Shao, Yuanjian Qiao, Fukang Liu |
| 2023 | An Efficient Method based on Multi-view Semantic Alignment for Cross-view Geo-localization. Yifeng Wang, Yamei Xia, Tianbo Lu, Xiaoyan Zhang, Wenbin Yao |
| 2023 | An Empirical Analysis of Vision Transformers Robustness to Spurious Correlations in Health Data. Anísio Lacerda, Daniel Ayala, Francisco Malaguth, Fabio Kanadani |
| 2023 | An Empirical Study on Data Balancing in Machine Learning Based Software Traceability Methods. Bangchao Wang, Zihan Wang, Hongyan Wan, Xingfu Li, Yang Deng |
| 2023 | An End-to-End Robotic Visual Localization Algorithm Based on Deep Learning. Hongcheng Wang, Niansheng Chen, Guangyu Fan, Dingyu Yang, Lei Rao, Songlin Cheng |
| 2023 | An Energy Theft Detection Framework with Privacy Protection for Smart Grid. Rong Xie |
| 2023 | An Enhanced Transferable Adversarial Attack Against Object Detection. Guoqiang Shi, Zhi Lin, Anjie Peng, Hui Zeng |
| 2023 | An Improved Branch Entropy Based Method for Chinese New Words Detection. Yan Guo, Yuying Zhu, Mingyang Hu, Shuiyuan Ding |
| 2023 | An Improved Relation Extraction Method Based on Information Control Injection and Attention-Guided Densely Connected Graph Convolutional Network. Zirui Zhang, Fanfang Meng, Xiaoxia Liu, Yuanhui Meng, Yiyu Yang, Benhui Chen |
| 2023 | An Improved Trust-Region Method for Off-Policy Deep Reinforcement Learning. Hepeng Li, Xiangnan Zhong, Haibo He |
| 2023 | An Oriented Object Detector towards Diatoms. Song Gong, Kaijie Wu, Zhiying Xia, Lihua Ran, Chaochen Gu, Changsheng Lu, Tongkun Guan, Yudi Zhao |
| 2023 | An Unseen Features Enhanced Text Classification Approach. Nesar Ahmad Wasi, Muhammad Abulaish |
| 2023 | An Unsupervised Hierarchical Clustering Approach to Improve Hopfield Retrieval Accuracy. Matthew Lai, Longbing Cao, Haiyan Lu, Quang Ha, Li Li, Md. Jahangir Hossain, Paul J. Kennedy |
| 2023 | An homeostatic activity-dependent structural plasticity algorithm for richer input combination. Tanguy Cazalets, Joni Dambre |
| 2023 | Analyzing the Accuracy, Representations, and Explainability of Various Loss Functions for Deep Learning. Tenshi Ito, Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2023 | Angle based dynamic learning rate for gradient descent. Neel Mishra, Pawan Kumar |
| 2023 | Angular Penalty for Few-Shot Incremental 3D Object Learning. Bingtao Ma, Yang Cong |
| 2023 | Anime Character Identification and Tag Prediction by Multimodality Modeling: Dataset and Model. Fan Yi, Jiaxiang Wu, Minyi Zhao, Shuigeng Zhou |
| 2023 | Anomalous Activity Detection from Ego View Camera of Surveillance Robots. Mritunjoy Halder, Snehasis Banerjee, Balamuralidhar Purushothaman |
| 2023 | Antonymy-Synonymy Discrimination through Repelling Parasiamese Neural Networks. Mathías Etcheverry, Dina Wonsever |
| 2023 | Application of Graph Theoretic measures for assessing efficacy of Stroke Rehabilitation. Upadrasta Naga Sita Sravanthi, Kamalakar Dadi, Bapi Raju Surampudi, P. N. Sylaja, C. Kesavadas, Srijithesh PR, Rinta Paul |
| 2023 | Application of Improved Physics-Informed Deep Learning Based on Activation Function for Solving Nonlinear Soliton Equation. Yanan Guo, Xiaoqun Cao, Kecheng Peng |
| 2023 | Application of neural networks in beam emission spectroscopy modelling. Azarakhsh Jalalvand, Ors Asztalos, Mate Karacsonyi, Gergo I. Pokol |
| 2023 | Approximating the Atomic Composition of Drug-like Molecules from Quantum Derived Properties: Inverse Design. Julio J. Valdés, Alain B. Tchagang |
| 2023 | Argument Mining with Modular BERT and Transfer Learning. Umer Mushtaq, Jérémie Cabessa |
| 2023 | Arithmetical Evaluation System based on improved-YOLOv5 and CRNN networks. Xinyu Zhao, Tianliang Liu, Yujie Chang |
| 2023 | AttResDU-Net: Medical Image Segmentation Using Attention-based Residual Double U-Net. Akib Mohammed Khan, Alif Ashrafee, Fahim Shahriar Khan, Md. Bakhtiar Hasan, Md. Hasanul Kabir |
| 2023 | Attack Assessment and Augmented Identity Recognition for Human Skeleton Data. Joseph Zalameda, Megan A. Witherow, Alexander M. Glandon, Jose Aguilera, Khan M. Iftekharuddin |
| 2023 | Attention map feature fusion network for Zero-Shot Sketch-based Image Retrieval. Honggang Zhao, Mingyue Liu, Yinghua Lin, Mingyong Li |
| 2023 | Attention-Capsule Network for Low-Light Image Recognition. Shiqi Shen, Zetao Jiang, Xiaochun Lei, Xu Wu, Yuting He |
| 2023 | Attentional Opponent Modelling for Multi-agent Cooperation. Siyang Tan, Binqiang Chen |
| 2023 | Audioset classification with Graph Convolutional Attention model. Xuliang Li, Junbin Gao |
| 2023 | Augmented Spatial Context Fusion Network for Scene Graph Generation. Hongbo Xu, Lichun Wang, Kai Xu, Fangyu Fu, Baocai Yin, Qingming Huang |
| 2023 | Auto-TabTransformer: Hierarchical Transformers for Self and Semi Supervised Learning in Tabular Data. Akshay Sethi, Sonia Gupta, Ayush Agarwal, Nancy Agrawal, Siddhartha Asthana |
| 2023 | AutoDes: Few-Shot Named Entity Recognition with Class Descriptions. Ting Lu, Yichun Hu, Guohua Liu, Qiubo Huang, Wenjing Guo, Shan Chang |
| 2023 | Autoencoder-based Anomaly Detection in Streaming Data with Incremental Learning and Concept Drift Adaptation. Jin Li, Kleanthis Malialis, Marios M. Polycarpou |
| 2023 | Automated Behavior Identification of Home Security Camera Traffic. Shuhe Liu, Xiaolin Xu, Zhefeng Nan |
| 2023 | Automated Keyphrase Generation for Brazilian Legal Information Retrieval. Kenzo Miranda Sakiyama, Rodrigo Nogueira, Roseli A. F. Romero |
| 2023 | Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion. Aurélien Renault, Alexis Bondu, Vincent Lemaire, Dominique Gay |
| 2023 | Automatic Hemiplegia Gait Assessment for Post-Stroke by an Efficient Hybrid Attention-Based GhostNet. Chengju Zhou, Daqin Feng, Lewei He, Nianming Ban, Shuxi Wang, Jiahui Pan |
| 2023 | Automatic Parameter Optimisation Framework for ECoS-based Models. Brendon J. Woodford |
| 2023 | Autonomous Recognition of Collective Motion Behaviours in Robotic Swarms from Video using a Deep Neural Network. Noha Khattab, Shadi Abpeikar, Kathryn Kasmarik, Matthew Garratt |
| 2023 | BIT: Improving Image-text Sentiment Analysis via Learning Bidirectional Image-text Interaction. Xingwang Xiao, Yuanyuan Pu, Zhengpeng Zhao, Jinjing Gu, Dan Xu |
| 2023 | BSDA in Visual Recognition: Balanced Semantic Data Augmentation for Long-Tailed Data. Yifan Wang, Eaven Huang, Runan Wang, Tuo Leng |
| 2023 | BSDGAN: Balancing Sensor Data Generative Adversarial Networks for Human Activity Recognition. Yifan Hu |
| 2023 | BSQA: Bidirectional Stacked Question Answering Architecture for End-to-end Event Extraction. Zetai Jiang, Sanchuan Tian, Fang Kong |
| 2023 | Backchannel Detection and Agreement Estimation from Video with Transformer Networks. Ahmed Amer, Chirag Bhuvaneshwara, Gowtham K. Addluri, Mohammed M. Shaik, Vedant Bonde, Philipp Müller |
| 2023 | Backdoor Attack on Deep Neural Networks in Perception Domain. Xiaoxing Mo, Leo Yu Zhang, Nan Sun, Wei Luo, Shang Gao |
| 2023 | Balancing Exploration and Exploitation in Hierarchical Reinforcement Learning via Latent Landmark Graphs. Qingyang Zhang, Yiming Yang, Jingqing Ruan, Xuantang Xiong, Dengpeng Xing, Bo Xu |
| 2023 | Bandit-NAS: Bandit Sampling Method for Neural Architecture Search. Yiqi Lin, Ru Wang |
| 2023 | Bayesian Sharpness-Aware Prompt Tuning for Cross-Domain Few-shot Learning. Shuo Fan, Liansheng Zhuang, Aodi Li |
| 2023 | Benchmarking Feature Extraction Techniques for Textual Data Stream Classification. Bruno Siedekum Thuma, Pedro Silva de Vargas, Cristiano Mesquita Garcia, Alceu de Souza Britto Jr., Jean Paul Barddal |
| 2023 | Best Fit Activation Functions for Attention Mechanism: Comparison and Enhancement. Maan Alhazmi, Abdulrahman Altahhan |
| 2023 | Bi-ClueMVSNet: Learning Bidirectional Occlusion Clues for Multi-View Stereo. Zhe Zhang, Yuxi Hu, Huachen Gao, Ronggang Wang |
| 2023 | Bi-Dimensional Approach Based on Graph Neural Network for Alcoholism Predisposition Detection via EEG signals. Aldísio Gonçalves Medeiros, Francisco H. S. Silva, Lucas de O. Santos, Pedro Pedrosa Rebouças Filho |
| 2023 | Biased or Debiased: Polarization-aware Embedding Learning from Social Media Knowledge Graph. Yihong Zhang, Takahiro Hara, Lina Yao |
| 2023 | Bio-Inspired Dual-Network Model to Tackle Statistical Heterogeneity in Federated Learning. Adnan Ahmad, Vinh Loi Chau, Antonio Robles-Kelly, Shang Gao, Longxiang Gao, Lianhua Chi, Wei Luo |
| 2023 | Bipolar Population Threshold Encoding for Audio Recognition with Deep Spiking Neural Networks. Xiaocui Lin, Jiangrong Shen, Jun Wen, Huajin Tang |
| 2023 | Black-box Identification with Static Neural Networks of Nonlinearities of an Elastomer-based Elastic Joint Manipulator. Antonio W. C. Do Lago, Isabel Giron Camerini, Lucas Castro Sousa, Daniel H. B. de Sousa, Felipe Rebelo Lopes, Marco Antonio Meggiolaro, Helon Vicente Hultmann Ayala |
| 2023 | Boosting Aerial Object Detection Performance via Virtual Reality Data and Multi-Object Training. Nikolas Koutsoubis, Kyle Naddeo, Garrett Williams, George D. Lecakes, Gregory Ditzler, Nidhal C. Bouaynaya, Thomas Kiel |
| 2023 | Boosting Aspect Sentiment Quad Prediction by Data Augmentation and Self-Training. Yongxin Yu, Minyi Zhao, Shuigeng Zhou |
| 2023 | Boosting Collision Perception Against Noisy Signals with a Probabilistic Neural Network. Jialan Hong, Qinbing Fu, Xuelong Sun, Haiyang Li, Jigen Peng |
| 2023 | Boosting External-Reference Image Quality Assessment by Content-Constrain Loss and Attention-based Adaptive Feature Fusion. Wenbo Shi, Wenming Yang, Qingmin Liao |
| 2023 | Bootstrap Decomposition Enhanced Orthogonal-Basis Projection Model for Long-term Time Series Forecasting. Xiaoyu Wang, Pengyu Xu, Mingyang Song, Liping Jing |
| 2023 | Boundary-Aware Set Abstraction for 3D Object Detection. Zhe Huang, Yongcai Wang, Xingui Tang, Hongyu Sun |
| 2023 | Brain-Inspired Spiking Neural Network for Online Unsupervised Time Series Prediction. Biswadeep Chakraborty, Saibal Mukhopadhyay |
| 2023 | Building Decision Forest via Deep Reinforcement Learning. Hongzhi Hua, Guixuan Wen, Kaigui Wu |
| 2023 | C-SRCIL: Complex-valued Class-Incremental Learning for Signal Recognition. Zhaoyu Fan, Ya Tu, Qingjiang Shi |
| 2023 | C2SFormer: Rethinking the Local-Global Design for Efficient Visual Recognition Model. Yin Tang, Xili Wan, Yaping Wu, Xinjie Guan, Aichun Zhu |
| 2023 | CA-SSD: Channel-Independent Rare Class Attention for 3D Object Detection. Jiahao Liu, Hui-Xian Cheng, Guoqiang Xiao, Xianfeng Han |
| 2023 | CAKT: Coupling contrastive learning with attention networks for interpretable knowledge tracing. Shuaishuai Zu, Li Li, Jun Shen |
| 2023 | CAMVR: Context-Adaptive Multi-View Representation Learning for Dense Retrieval. Zhilin Liao, Xiangting Hou, Dongfang Lou, Yi-Ming Chen, Ningyu Zhang |
| 2023 | CCCSpell: A Consistent and Contrastive Learning Approach with Character Similarity for Chinese Spelling Check. Jindian Su, Xiaobin Lin, Yunhao Xie, Zehua Cheng |
| 2023 | CCFD-GAN: Credit Card Fraud Detection Based on Generative Adversarial Networks Enhanced by Penalty Mechanism. Wenbo Zhang, Shuo Zhang, Jinyi Chen, Hejiao Huang |
| 2023 | CCH-YOLOX: Improved YOLOX for Challenging Vehicle Detection from UAV Images. Zhuang Liu, Song Qiu, Mingsong Chen, Dingding Han, Tiantian Qi, Qingli Li, Yue Lu |
| 2023 | CDANER: Contrastive Learning with Cross-domain Attention for Few-shot Named Entity Recognition. Wei Li, Hui Li, Jingguo Ge, Lei Zhang, Liangxiong Li, Bingzhen Wu |
| 2023 | CDNet: Cross-frequency Dual-branch Network for Face Anti-Spoofing. Xiaobin Huang, Qiufu Li, Linlin Shen, Xingwei Chen |
| 2023 | CEMDQN: Cognitive-inspired Episodic Memory in Deep Q-networks. Satyam Srivastava, Heena Rathore, Kamlesh Tiwari |
| 2023 | CEVulDet: A Code Edge Representation Learnable Vulnerability Detector. Bitao Peng, Zhen Liu, Jinrong Zhang, Pengcheng Su |
| 2023 | CEntRE: A paragraph-level Chinese dataset for Relation Extraction among Enterprises. Peipei Liu, Hong Li, Zhiyu Wang, Yimo Ren, Jie Liu, Fei Lv, Hongsong Zhu, Limin Sun |
| 2023 | CGCCMR: An Enhanced Multi-gate Model for Cross-Market Recommendation. Jinyu Mo, Hong Xie, Xiaoyu Shi, Mingsheng Shang |
| 2023 | CGDC- LSTM: A novel hybrid neural network model for MOOC dropout prediction. Yuhang Zhou, Ke Niu, Haoyi Lv, Guoqiang Lu, Yijie Pan |
| 2023 | CL-CSP: Contrastive Learning with Continuous Semantic Perturbations for Neural Dialogue Generation. Zhiping Liang, Haolan Zhan |
| 2023 | CLUE: Cross-Layer Uncertainty Estimator for Reliable Neural Perception using Processing-in-Memory Accelerators. Minah Lee, Anni Lu, Mandovi Mukherjee, Shimeng Yu, Saibal Mukhopadhyay |
| 2023 | CSARUNet: an attention mechanism-based model for image tampering localization with ringed residual block. Ying Guo, Shan Jiang, Jinhong Li |
| 2023 | CTVAE: Current Task Variational Auto-Encoder with Dynamic Ensemble Loss for Few-Shot Learning. Hao-Chin Su, Yi-ling Chen |
| 2023 | CaT: Cyclic-Accumulation Transformer for Lane Detection. Dezhen Qi, Jun Xie, Guoyu Yang, Dongdong Liu, Ye Qiu, Yuer Lu, Xiaoming Jiang, Jianwei Shuai |
| 2023 | Camera Coach: Activity Recognition and Assessment Using Thermal and RGB Videos. Ahmed Sharshar, Ahmed Abo Eitta, Ahmed Fayez, Mohamed Abdelaziz Khamis, Ahmed Bayoumy Zaki, Walid Gomaa |
| 2023 | Can Multimodal Pointer Generator Transformers Produce Topically Relevant Summaries? Sourajit Mukherjee, Adam Jatowt, Raghvendra Kumar, Anubhav Jangra, Sriparna Saha |
| 2023 | Causal Mean Field Multi-Agent Reinforcement Learning. Hao Ma, Zhiqiang Pu, Yi Pan, Boyin Liu, Junlong Gao, Zhenyu Guo |
| 2023 | Causal Visual Feature Extraction for Image Classification Interpretation. Chengzhuan Bao, Dehua Chen, Mei Wang, Qiao Pan |
| 2023 | Cd-HRNN: Content-Driven HRNN to Improve Session-Based Recommendation System. Sonal Dabral, Brijraj Singh, Naoyuki Onoe |
| 2023 | Cell Attention Networks. Lorenzo Giusti, Claudio Battiloro, Lucia Testa, Paolo Di Lorenzo, Stefania Sardellitti, Sergio Barbarossa |
| 2023 | Cerebral Thrombus Segmentation in CT Angiography using Refinement Segmentation Network with Context Pooling. Jinbi Liang, Yunhao Li, Shijie Chen, Zhongyuan Wang, Chuang Nie, Zhiming Kang, Bin Mei |
| 2023 | Characterizing neural activity in cognitively inspired RL agents during an evidence accumulation task. James Mochizuki-Freeman, Sahaj Singh Maini, Zoran Tiganj |
| 2023 | Chinese Event Temporal Relation Extraction on Multi-Dimensional Attention. Fan Yang, Sheng Xu, Peifeng Li, Qiaoming Zhu |
| 2023 | Class-Balanced Universal Perturbations for Adversarial Training. Kexue Ma, Guitao Cao, Mengqian Xu, Chunwei Wu, Hong Wang, Wenming Cao |
| 2023 | Class-Specific Variational Auto-Encoder for Content-Based Image Retrieval. Mehdi Rafiei, Alexandros Iosifidis |
| 2023 | Classification of coma etiology using convolutional neural networks and long-short term memory networks. Sérgio Baldo Júnior, Murillo G. Carneiro, João-Batista Destro-Filho, Liang Zhao, Renato Tinós |
| 2023 | Clustering joint Locality Preserving Projections. Yuanhao Li |
| 2023 | CoLRP: A Contrastive Learning Abstractive Text Summarization Method with ROUGE Penalty. Caidong Tan, Xiao Sun |
| 2023 | Color-Difference Correntropy Guided Convolution Network for Point Cloud Semantic Segmentation. Zhou Jiang, Jing Yang, Chunyu Xuan, Dong Zhang, Shaoyi Du |
| 2023 | Combination of Translation and Rotation in Dual Quaternion Space for Temporal Knowledge Graph Completion. Ruiguo Yu, Tao Liu, Jian Yu, Wenbin Zhang, Yue Zhao, Ming Yang, Mankun Zhao, Jiujiang Guo |
| 2023 | Combining Multi-Head Attention and Sparse Multi-Head Attention Networks for Session-Based Recommendation. Zhiwei Zhao, Xiaoye Wang, Yingyuan Xiao |
| 2023 | Combining Multiple Inputs to a Delay-line Reservoir Computer: Control of a Forced Van der Pol Oscillator System. Tian Gan, Susan Stepney, Martin A. Trefzer |
| 2023 | Combining datasets to improve model fitting. Thu Nguyen, Rabindra Khadka, Nhan Phan, Anis Yazidi, Pål Halvorsen, Michael A. Riegler |
| 2023 | Common and Unique Features Learning in Multi-view Network Embedding. Yifan Shang, Xiucai Ye, Tetsuya Sakurai |
| 2023 | Community synchronization of functional brain network with cognitive training. Guiyang Lv, Kexin Ma, Ping Zhu, Feiyan Chen, Guoguang He |
| 2023 | Community-Aware Federated Video Summarization. Fan Wan, Junyan Wang, Haoran Duan, Yang Song, Maurice Pagnucco, Yang Long |
| 2023 | Compact Cross-Reparam Convolution Network for Efficient Image Super-resolution. Eaven Huang, Runan Wang, Yifan Wang, Tuo Leng |
| 2023 | Comparison of Two Classification Methods Trained with FD-FLIM Data to Identify and Distinguish Plastics from Environmental Materials. Maximilian Wohlschläger, Nina Leiter, Maximilian Dietlmeier, Martin G. J. Löder, Martin Versen, Christian Laforsch |
| 2023 | Complex Network-Based Data Classification Using Minimum Spanning Tree Metric and Optimization. Josimar Edinson Chire Saire, Liang Zhao |
| 2023 | Conditional Human Activity Signal Generation and Generative Classification with a GPT-2 Model. Hazar Zilelioglu, Ghazaleh Khodabandelou, Abdelghani Chibani, Yacine Amirat |
| 2023 | Conformal Prediction Enhanced SVMs for Swarm Behavior Classification. Zepu Xi, Hongbo Chen, Xiaoqian Chen, Wen Yao |
| 2023 | Connection-Based Knowledge Transfer for Class Incremental Learning. Guangzhi Zhao, Kedian Mu |
| 2023 | Connections Between Pairs of Filters Improve the Accuracy of Convolutional Neural Networks. Kathleen Anderson, Philipp Grüning, Erhardt Barth |
| 2023 | ConsE: Consistency Exploitation for Semi-Supervised Anomaly Detection in Graphs. Wenjing Chang, Jianjun Yu, Xiaojun Zhou |
| 2023 | Consensus-Based Distributed Kernel One-class Support Vector Machine for Anomaly Detection. Tianyao Wang, Fan He, Ruikai Yang, Zhixing Ye, Xiaolin Huang |
| 2023 | Constrained Reinforcement Learning for Dynamic Material Handling. Chengpeng Hu, Ziming Wang, Jialin Liu, Junyi Wen, Bifei Mao, Xin Yao |
| 2023 | ConstraintMatch for Semi-constrained Clustering. Jann Goschenhofer, Bernd Bischl, Zsolt Kira |
| 2023 | Constructing Cloze Questions Generatively. Yicheng Sun, Jie Wang |
| 2023 | Context - Enhanced Meta-Reinforcement Learning with Data-Reused Adaptation for Urban Autonomous Driving. Qi Deng, Yaqian Zhao, Rengang Li, Qifu Hu, Tiejun Liu, Ruyang Li |
| 2023 | Continual Learning with Pretrained Backbones by Tuning in the Input Space. Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci, Tinne Tuytelaars |
| 2023 | Continuous Variational Quantum Algorithms for Time Series. Muhao Guo, Yang Weng, Lili Ye, Ying-Cheng Lai |
| 2023 | Contrastive Time Series Anomaly Detection by Temporal Transformations. Bin Li, Emmanuel Müller |
| 2023 | Controlling dynamical systems to complex target states using machine learning: next-generation vs. classical reservoir computing. Alexander Haluszczynski, Daniel Köglmayr, Christoph Räth |
| 2023 | Convolutional Neural Networks Do Work with Pre-Defined Filters. Christoph Linse, Erhardt Barth, Thomas Martinetz |
| 2023 | Convolutional and LSTM Neural Networks for Solar Power Forecasting. Gavin Fungtammasan, Irena Koprinska |
| 2023 | Cooperation Skill Motivated Reinforcement Learning for Traffic Signal Control. Jie Xin, Jing Zeng, Ya Cong, Weihao Jiang, Shiliang Pu |
| 2023 | Coreference-aware Double-channel Attention Network for Multi-party Dialogue Reading Comprehension. Yanling Li, Bowei Zou, Yifan Fan, Mengxing Dong, Yu Hong |
| 2023 | Cortex Inspired Learning to Recover Damaged Signal Modality with ReD-SOM Model. Artem R. Muliukov, Laurent Rodriguez, Benoît Miramond |
| 2023 | Cost-effective Modality Selection for Video Popularity Prediction. Yang Liu, Mengyu Yang, Ye Tian, Lanshan Zhang, Xirong Que, Wendong Wang |
| 2023 | Counterfactual Explanations of Neural Network-Generated Response Curves. Giorgio Morales, John W. Sheppard |
| 2023 | Credit Default Prediction on Time-Series Behavioral Data Using Ensemble Models. Kangshuai Guo, Shichao Luo, Ming Liang, Zhongjian Zhang, Huabin Yang, Yan Wang, Yingjie Zhou |
| 2023 | Cross Domain Deep Collaborative Filtering without Overlapping Data. Meng Liu, Jianjun Li, Guohui Li, Zhiqiang Guo, Chaoyang Wang, Peng Pan |
| 2023 | Cross Range Quantization for Network Compression. Yicai Yang, Xiaofen Xing, Ming Chen, Kailing Guo, Xiangmin Xu, Fang Liu |
| 2023 | Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain Adaptation. Zhongju Yuan, Zhenkun Wang, Genghui Li |
| 2023 | Cross-Domain Similarity in Domain Adaptation for Human Activity Recognition. Samra Kasim, John W. Sheppard |
| 2023 | Cross-Domain Transformation for Outlier Detection on Tabular Datasets. Dayananda Herurkar, Timur Sattarov, Jörn Hees, Sebastian Palacio, Federico Raue, Andreas Dengel |
| 2023 | Cross-Modal Content Inference and Feature Enrichment for Cold-Start Recommendation. Haokai Ma, Zhuang Qi, Xinxin Dong, Xiangxian Li, Yuze Zheng, Xiangxu Meng, Lei Meng |
| 2023 | Cross-Modal Diversity-Based Active Learning for Multi-Modal Emotion Estimation. Yifan Xu, Lubin Meng, Ruimin Peng, Yingjie Yin, Jingting Ding, Liang Li, Dongrui Wu |
| 2023 | Cross-Subject Decision Confidence Estimation from EEG Signals Using Spectral-Spatial-Temporal Adaptive GCN with Domain Adaptation. Rong-Fei Gu, Rui Li, Wei-Long Zheng, Bao-Liang Lu |
| 2023 | Crucial Semantic Classifier-based Adversarial Learning for Unsupervised Domain Adaptation. Yumin Zhang, Yajun Gao, Hongliu Li, Ating Yin, Duzhen Zhang, Xiuyi Chen |
| 2023 | Curiosity-driven Exploration for Cooperative Multi-Agent Reinforcement Learning. Fanchao Xu, Tomoyuki Kaneko |
| 2023 | Curriculum Learning Based Multi-Agent Path Finding for Complex Environments. Cheng Zhao, Liansheng Zhuang, Yihong Huang, Haonan Liu |
| 2023 | CyFormer: Accurate State-of-Health Prediction of Lithium-Ion Batteries via Cyclic Attention. Zhiqiang Nie, Jiankun Zhao, Qicheng Li, Yong Qin |
| 2023 | CycleSAR: SAR Image Despeckling as Unpaired Image-to-Image Translation. Francesco Lattari, Vincenzo Santomarco, Riccardo Santambrogio, Alessio Rucci, Matteo Matteucci |
| 2023 | DCP-Net: The Defect Detection Method of Industrial Product based on Dual Collaborative Paths. Zekai Zhang, Mingle Zhou, Honglin Wan, Min Li, Gang Li |
| 2023 | DDA: A Dynamic Difficulty-aware Data Augmenter for Image Super-resolution. Xinyi Zhang, Tao Dai, Bin Chen, Shu-Tao Xia |
| 2023 | DDIN: Deep Disentangled Interest Network for Click-Through Rate Prediction. Xin-Wei Yao, Chuan He, Weiwei Xing, Qi-Chao Lu, Xin-Ge Zhang, Yu-Chen Zhang |
| 2023 | DDNet: Density and depth-aware network for object detection in foggy scenes. Boyi Xiao, Jin Xie, Jing Nie |
| 2023 | DEPHN: Different Expression Parallel Heterogeneous Network using virtual gradient optimization for Multi-task Learning. Menglin Kong, Ri Su, Shaojie Zhao, Muzhou Hou |
| 2023 | DMINet: A lightweight dual-mixed channel-independent network for cataract recognition. Xiao Wu, Yu Chen, Qiuyang Yan, Yuhang Zhao, Jilu Zhao, Xiaoqing Zhang, Risa Higashita, Jiang Liu |
| 2023 | DRSU-net: Depth-Residual Separable U-net model for Semantic Segmentation. Mohamed Arbane, Mohamed Essaid Khanouche, Ghazaleh Khodabandelou, Abdelghani Chibani, Yacine Amirat |
| 2023 | DRepT: Anomaly Detection Based on Transfer of Defect Representation with Transmittance Mask. Hiroki Kobayashi, Manabu Hashimoto |
| 2023 | DUP-Net: Double U-PoolFormer Networks for Renal Artery Segmentation in CT Urography. Bei Li, Wenkang Fan, Mingxian Yang, Zhiyuan Liu, Song Zheng, Jianhui Chen, Yinran Chen, Xiongbiao Luo |
| 2023 | Data Augmentation Ensemble Module based on Natural Guidance for X-ray Prohibited Items Detection. Jun He, Yangcai Zhong, Bo Sun, Yinghui Zhang, Yun Liu |
| 2023 | Data Augmentation via Back-translation for Aspect Term Extraction. Qingting Xu, Yu Hong, Jiaxiang Chen, Jianmin Yao, Guodong Zhou |
| 2023 | Data Under Siege: The Quest for the Optimal Convolutional Autoencoder in Side-Channel Attacks. Danny van den Berg, Tom Slooff, Marco Brohet, Kostas Papagiannopoulos, Francesco Regazzoni |
| 2023 | Data classification via centrality measures of complex networks. Janayna M. Fernandes, Guilherme M. Suzuki, Liang Zhao, Murillo G. Carneiro |
| 2023 | Data-Locked Knowledge Distillation with Ready-To-Use Substitutes. Jian-Ping Mei, Jie Chen, Xinkai Chu |
| 2023 | DccGraph: Detecting Criminal Communities with Augmented Criminal Network Construction and Graph Neural Network. Yuanzhe Yang, Li Yang, Lingwei Li, Xiaoxiao Ma, Lei Yu, Chun Zuo |
| 2023 | Decomposing Source Codes by Program Slicing for Bug Localization. Yong Jiang, Ziye Zhu, Yun Li |
| 2023 | Deep Feature Extraction for Data Assimilation with Ensemble Smoother. Rodrigo Exterkoetter, Gustavo Rachid Dutra, Leandro Passos de Figueiredo, Fernando Luis Bordignon, Alexandre Anozé Emerick, Gilson Moura Silva Neto, Mauro Roisenberg |
| 2023 | Deep Hashing Capable of Adding New Dataset without Class Labels. Chenyang Ye, Hisashi Koga |
| 2023 | Deep Imputation-Prediction Networks for Health Risk Prediction using Electronic Health Records. Yuxi Liu, Zhenhao Zhang, Shaowen Qin |
| 2023 | Deep Inversion Method for Attacking Lifelong Learning Neural Networks. Boyuan Du, Yuanlong Yu, Huaping Liu |
| 2023 | Deep Learning Models for Multi-Energy Prediction of Combined Electrical, Heat and Gas network systems. Corneliu T. C. Arsene, Alessandra Parisio |
| 2023 | Deep Learning Strategies For Rare Drug Mechanism of Action Prediction. Gonçalo Ferreira, Marco Teixeira, Raquel Belo, Wilson Silva, Jaime S. Cardoso |
| 2023 | Deep Learning for Effective Gender Classification of Tasmania Giant Crabs. Jianping Yao, Son N. Tran, Lianxue Zhang, Jiaxin Ye, Ananda Maiti, Scott Hadley |
| 2023 | Deep Multi - Resolution Network for Real- Time Semantic Segmentation in Street Scenes. Yalun Wang, Shidong Chen, Huicong Bian, Weixiao Li, Qin Lu |
| 2023 | Deep Multi-Representation Model for Click-Through Rate Prediction. Shereen Elsayed, Lars Schmidt-Thieme |
| 2023 | Deep Predictive Network for Inference and Dynamic Optimization of Task Goals during Human-Robot Collaboration. Shun Hiramatsu, Shingo Murata |
| 2023 | Deep Q-Network Updates for the Full Action-Space Utilizing Synthetic Experiences. Wenzel Pilar von Pilchau, David Pätzel, Anthony Stein, Jörg Hähner |
| 2023 | Deep Reinforcement Learning Based Multi-Task Automated Channel Pruning for DNNs. Xiaodong Ma, Weiwei Fang |
| 2023 | Deep Spiking Quantum Neural Network for Noisy Image Classification. Debanjan Konar, Vaneet Aggarwal, Aditya Das Sarma, Soham Bhandary, Siddhratha Bhattacharyya, Attila Cangi |
| 2023 | DeepReversion: Reversely Inferring the Original Face from the DeepFake Face. Jiaxin Ai, Zhongyuan Wang, Baojin Huang, Zhen Han |
| 2023 | Defending Machine Reading Comprehension against Question-Targeted Attacks. Xuanjie Fang, Wei Wang |
| 2023 | Defense Against Reconstruction Attacks in Split Federated Learning Through Decreasing Correlation Between Inputs and Activations. Xingming Luo, Yaochi Zhao, Zhuhua Hu, Yanfei Zhu, Jiezhuo Zhong |
| 2023 | Deformable Feature Interaction Network and Graph Structure Reasoning for 3D Dense Alignment and Face Reconstruction. Jia Deng, Xiaofei Li, Xing Wang, Xiangzheng Li |
| 2023 | Delay-Sensitive Local Plasticity in Echo State Networks. Stefan Iacob, Spyridon Chavlis, Panayiota Poirazi, Joni Dambre |
| 2023 | Delaytron: Efficient Learning of Multiclass Classifiers with Delayed Bandit Feedbacks. Naresh Manwani, Mudit Agarwal |
| 2023 | Demystifying Complex Treatment Recommendations: A Hierarchical Cooperative Multi-Agent RL Approach. Dilruk Perera, Siqi Liu, Mengling Feng |
| 2023 | Denoise Enhanced Neural Network with Efficient Data Generation for Automatic Sleep Stage Classification of Class Imbalance. Le Yu, Peiwang Tang, Zhiguo Jiang, Xianchao Zhang |
| 2023 | Dense Attention: A Densely Connected Attention Mechanism for Vision Transformer. Nannan Li, Yaran Chen, Dongbin Zhao |
| 2023 | DenseStream: A Novel Data Representation for Gradient Sparsification in Distributed Synchronous SGD Algorithms. Guangyao Li, Mingxue Liao, Yongyue Chao, Pin Lv |
| 2023 | Detecting Cyber Attacks in Industrial Control Systems Using Spatio-Temporal Autoencoder. Bin Lan, Shunzheng Yu |
| 2023 | Detection of Electric Component Based on Improved Faster-RCNN. Chengling Xiao, Dongdong Zhang, Chengyu Sun |
| 2023 | Detection of retinal microlesions through YOLOR-CSP architecture and image slicing with the SAHI algorithm. Alejandro Pereira, Carlos Silva, Marilton S. de Aguiar, Daniel Welfer, Marcelo Dias, Marcelo Ribeiro, Reza Ahmadi |
| 2023 | DietCNN: Multiplication-free Inference for Quantized CNNs. Swarnava Dey, Pallab Dasgupta, Partha Pratim Chakrabarti |
| 2023 | Diffusion Graph Neural Ordinary Differential Equation Network for Traffic Prediction. Ni Xiong, Yan Yang, Yongquan Jiang, Xiaocao Ouyang |
| 2023 | Discourse Parsing on Multi-Granularity Interaction. Weihao Liu, Yaxin Fan, Xiaomin Chu, Peifeng Li, Qiaoming Zhu |
| 2023 | Discriminating Information of Modality Contributions Network by Gating Mechanism and Multi-Task Learning. Qiongan Zhang, Lei Shi, Peiyu Liu, Liancheng Xu |
| 2023 | Discriminative Domain Adaptation Network for Fine-grained Disease Severity Classification. Shijie Wen, Yiqiang Chen, Shuai Guo, Yuan Ma, Yang Gu, Piu Chan |
| 2023 | Discriminative Feature Mining and Alignment for Unsupervised Domain Adaptation. Jing Xiang, Guitao Cao, Xinyue Zhang, Hanxiu Zhang, Chunwei Wu, Hong Wang |
| 2023 | Disease Diagnosis with Cost-Sensitive Grouped Features Based on Deep Reinforcement Learning. Yikemaiti Sataer, Zhiqiang Gao, Xuelian Li |
| 2023 | Distance Functions and Normalization Under Stream Scenarios. Eduardo V. L. Barboza, Paulo R. Lisboa de Almeida, Alceu de Souza Britto Jr., Rafael M. O. Cruz |
| 2023 | Distilling Stereo Networks for Performant and Efficient Leaner Networks. Rafia Rahim, Samuel Woerz, Andreas Zell |
| 2023 | Diverse Gaussian Noise Consistency Regularization for Robustness and Uncertainty Calibration. Theodoros Tsiligkaridis, Athanasios Tsiligkaridis |
| 2023 | Diversity-Enhanced Recommendation with Knowledge-Aware Devoted and Diverse Interest Learning. Junfa Lin, Jiahai Wang |
| 2023 | Divisible Cell-Segmentation: A New Approach for Stroke Detection and Segmentation in CT Scans Using Deep Learning and Fine-tuning. Luís Fabrício de F. Souza, Joel R. Michaliszen Junior, Adriell Gomes Marques, Yasmin Osório Adelino Rodrigues, Guilherme Freire Brilhante Severiano, José Jerovane da Costa Nascimento, Pedro Pedrosa Rebouças Filho |
| 2023 | Do We Train on Test Data? The Impact of Near-Duplicates on License Plate Recognition. Rayson Laroca, Valter Estevam, Alceu S. Britto Jr., Rodrigo Minetto, David Menotti |
| 2023 | Document-level Relation Extraction with Entity Interaction and Commonsense Knowledge. Shen Liu, Xinshu Shen, Tingting Liu, Man Lan |
| 2023 | Domain Adaptable Self-supervised Representation Learning on Remote Sensing Satellite Imagery. Muskaan Chopra, Prakash Chandra Chhipa, Gopal Mengi, Varun Gupta, Marcus Liwicki |
| 2023 | Domain Generalization and Feature Fusion for Cross-domain Imperceptible Adversarial Attack Detection. Yi Li, Plamen Angelov, Neeraj Suri |
| 2023 | Domain Translation via Latent Space Mapping. Tsiry Mayet, Simon Bernard, Clément Chatelain, Romain Hérault |
| 2023 | Domain-Generic Pre-Training for Low-Cost Entity Matching via Domain Alignment and Domain Antagonism. Hui Bai, Derong Shen, Wenzhou Dou, Tiezheng Nie, Yue Kou |
| 2023 | Double Granularity Graph Network For Chinese Legal Question Answering. Jingpei Dan, Tianyuan Zhang, Yuming Wang |
| 2023 | Dual Hypergraph Features for Path Inference in Wikipedia Links. Anastasia-Sotiria Toufa, Constantine Kotropoulos, Ioannis Tsingalis |
| 2023 | Dual Relation-Aware Entity Alignment for Knowledge Graph. Xin Zhang, Yu Liu, Zhehuan Zhao |
| 2023 | Dual-Encoder Attention Fusion Model for Aspect Sentiment Triplet Extraction. Yunqi Zhang, Songda Li, Yuquan Lan, Hui Zhao, Gang Zhao |
| 2023 | Dual-Path Reconstruction Guided Segmentation Network for Unsupervised Anomaly Detection and Localization. Junwei Xiao, Lei Deng, Zhixiang Chen, Xiu Li, Baohua Chen, Hanxi Yin |
| 2023 | Dual-channel spatio-temporal wavelet transform graph neural network for traffic forecasting. Baowen Xu, Xuelei Wang, Chengbao Liu, Zhenjie Liu, Liwen Kang |
| 2023 | DualHGNN: A Dual Hypergraph Neural Network for Semi-Supervised Node Classification based on Multi-View Learning and Density Awareness. Jianpeng Liao, Jun Yan, Qian Tao |
| 2023 | Dynamic Analysis and an Eigen Initializer for Recurrent Neural Networks. Ran Dou, José C. Príncipe |
| 2023 | Dynamic Edge Caching via Online Meta-RL. Yinan Mao, Shiji Zhou, Haochen Liu, Zhi Wang, Wenwu Zhu |
| 2023 | Dynamic Portfolio Optimization via Augmented DDPG with Quantum Price Levels-Based Trading Strategy. Runsheng Lin, Zihan Xing, Mingze Ma, Raymond S. T. Lee |
| 2023 | Dynamic Spatio-Temporal Multi-Scale Representation for Bus Ridership Prediction. Lilan Peng, Xiu Wang, Hongchun Lu, Xiangyu Guo, Tianrui Li, Shenggong Ji |
| 2023 | Dynamic functional connectivity analysis in individuals with Autism Spectrum Disorder. Pindi Krishna Chandra Prasad, Kamalaker Dadi, Bapi Raju Surampudi |
| 2023 | E-STDP: A Spatio-Temporally Local Unsupervised Learning Rule for Sparse Coded Spiking Convolutional Autoencoders. Vineet Kotariya, Anmol Biswas, Udayan Ganguly |
| 2023 | EARP: Integration with Entity Attribute and Relation Path for Event Knowledge Graph Representation Learning. Ze Xu, Hao Zhou, Ting He, Huazhen Wang |
| 2023 | EBAMQ: Exposure Bias Alleviation via Moment Matching for Question Generation. Dong Liu, Yu Hong, Chuyao Ding, Jianmin Yao, Guodong Zhou |
| 2023 | ECANodule: Accurate Pulmonary Nodule Detection and Segmentation with Efficient Channel Attention. Deng Luo, Qingyuan He, Meng Ma, Kun Yan, Defeng Liu, Ping Wang |
| 2023 | ED-T2V: An Efficient Training Framework for Diffusion-based Text-to-Video Generation. Jiawei Liu, Weining Wang, Wei Liu, Qian He, Jing Liu |
| 2023 | EDANAS: Adaptive Neural Architecture Search for Early Exit Neural Networks. Matteo Gambella, Manuel Roveri |
| 2023 | EEG Model Compression by Network Pruning for Emotion Recognition. Wenjie Rao, Sheng-hua Zhong |
| 2023 | Ed-Fed: A generic federated learning framework with resource-aware client selection for edge devices. Zitha Sasindran, Harsha Yelchuri, T. V. Prabhakar |
| 2023 | Effects of Spectral Normalization in Multi-Agent Reinforcement Learning. Kinal Mehta, Anuj Mahajan, Pawan Kumar |
| 2023 | Efficient Early Warning System in Identifying Enset Bacterial Wilt Disease using Transfer Learning. Bete Aberra Fulle, Chao Ma, Xiaochuan Shi, Weiping Zhu, Zerihun Yemataw, Ephrem Assefa |
| 2023 | Efficient Gait Recognition via Spatial-Temporal Decoupled Network. Peisen Tang, Han Su, Ruixuan Gao, Wensheng Zhao, Chaoying Tang |
| 2023 | Efficient Lung Nodule Detection via 3D Deep Learning with Shifted Convolutions. Xiaohuan Kuang, Kang Yuan, Bo Du, Jiancheng Yang |
| 2023 | Efficient Multi-Task Scene Analysis with RGB-D Transformers. Söhnke Benedikt Fischedick, Daniel Seichter, Robin Schmidt, Leonard Rabes, Horst-Michael Gross |
| 2023 | Efficient Repetition Coding for Deep Learning Towards Implementation Using Emerging Non-Volatile Memory with Write-Errors. Ninnart Fuengfusin, Hakaru Tamukoh, Yuichiro Tanaka, Osamu Nomura, Takashi Morie |
| 2023 | Efficient Temporal Action Localization with Temporal Attention and Gaussian Weight. Mengbo Sun, Yonghong Song, Hongda Wang |
| 2023 | Elastic step DDPG: Multi-step reinforcement learning for improved sample efficiency. Adrian Ly, Richard Dazeley, Peter Vamplew, Francisco Cruz, Sunil Aryal |
| 2023 | Embedding the Self-Organisation of Deep Feature Maps in the Hamburger Framework can Yield Better and Interpretable Results. Jack Humphreys, Markus Hagenbuchner, Zhiyong Wang, Ah Chung Tsoi |
| 2023 | Embracing the dropouts in single-cell RNA-seq dynamics modelling. Mingrong Xiang, Wei Luo, Jingyu Hou, Wenjing Tao |
| 2023 | Emergence of Direction Selectivity and Motion Strength in Dot Motion Task Through Deep Reinforcement Learning Networks. Dolton Fernandes, Pramod S. Kaushik, Raju Surampudi Bapi |
| 2023 | Emotion-Guided Music Accompaniment Generation Based on Variational Autoencoder. Qi Wang, Shubing Zhang, Li Zhou |
| 2023 | Emp-USIR: A Unidirectional Synchronous Interactive Reasoning Model for Empathetic Dialogue. Liting Jiang, Di Wu, Yanbing Li, Wushouer Silamu |
| 2023 | Empowering Pandemic Response with Federated Learning for Protein Sequence Data Analysis. Prakash Chourasia, Zahra Tayebi, Sarwan Ali, Murray Patterson |
| 2023 | End to End Sign Language Translation via Multitask Learning. Dibyanayan Bandyopadhyay, Aizan Zafar, Asif Ekbal, Mohammed Hasanuzzaman |
| 2023 | Energy Efficient Memory-based Inference of LSTM by Exploiting FPGA Overlay. Krishnendu Guha, Amit Ranjan Trivedi, Swarup Bhunia |
| 2023 | Engagement Recognition in Online Learning Based on an Improved Video Vision Transformer. Zijian Guo, Zhuoyi Zhou, Jiahui Pan, Yan Liang |
| 2023 | Enhanced Deep Learning Satellite-based Model for Yield Forecasting and Quality Assurance Using Metamorphic Testing. Islam Nasr, Lobna Nassar, Fakhri Karray, Mohamed Bin Zayed |
| 2023 | Enhanced Loss Function based on Laplacian Eigenmaps for Graph Classification. Ye Xiao, Ruikun Li, Andrey Vasnev, Junbin Gao |
| 2023 | Enhanced Named Entity Recognition through Joint Dependency Parsing. Peng Wang, Zhe Wang, Xiaowang Zhang, Kewen Wang, Zhiyong Feng |
| 2023 | Enhancing Chinese Calligraphy Generation with Contour and Region-aware Attention. Jinshan Zeng, Ling Tu, Jie Zhou, Yefei Wang, Jiguo Zeng |
| 2023 | Enhancing Discriminative Ability among Similar Classes with Guidance of Text-Image Correlation for Unsupervised Domain Adaptation. Yu-Won Lee, Myeong-Seok Oh, Ho-Joong Kim, Seong-Whan Lee |
| 2023 | Enhancing Embedding Representations of Biomedical Data using Logic Knowledge. Michelangelo Diligenti, Francesco Giannini, Stefano Fioravanti, Caterina Graziani, Moreno Falaschi, Giuseppe Marra |
| 2023 | Enhancing Once-For-All: A Study on Parallel Blocks, Skip Connections and Early Exits. Simone Sarti, Eugenio Lomurno, Andrea Falanti, Matteo Matteucci |
| 2023 | Enhancing Wind Power Forecast Precision via Multi-head Attention Transformer: An Investigation on Single-step and Multi-step Forecasting. Md. Rasel Sarkar, Sreenatha G. Anavatti, Tanmoy Dam, Mahardhika Pratama, Berlian Al Kindhi |
| 2023 | Enhancing source code summarization from structure and semantics. Xurong Lu, Jun Niu |
| 2023 | Entropy Transformer Networks: A Learning Approach via Tangent Bundle Data Manifold. Pourya Shamsolmoali, Masoumeh Zareapoor |
| 2023 | Estimating Market Value of Companies Based on Finance Statement through Data Fusion. Ning Li, Shiqi Jiang, Yaxuan Zheng, Wenli Xiong, Shaohua Li, Yanpeng Hu, Changbo Wang, Chenhui Li |
| 2023 | Evaluating Robustness Against Adversarial Attacks: A Representational Similarity Analysis Approach. Chenyu Liu |
| 2023 | Evaluating and Comparing Heterogeneous Ensemble Methods for Unsupervised Anomaly Detection. Simon Klüttermann, Emmanuel Müller |
| 2023 | Event Extraction Based on the Fusion of Dynamic Prompt Information and Multi-Dimensional Features. Yin Wang, Nan Xia, Xiangfeng Luo, Hang Yu |
| 2023 | Event-Guided Attention Network for Low Light Image Enhancement. Qiaobin Wang, Haiyan Jin, Haonan Su, Zhaolin Xiao |
| 2023 | Evolution Strategies Enhanced Complex Multiagent Coordination. Yunfei Du, Yin Wang, Ya Cong, Weihao Jiang, Shiliang Pu |
| 2023 | Evolution of Proxy Use in Neural Network Controllers for Crowd Modeling. Jin Huang, Yoonsuck Choe |
| 2023 | Evolutionary Multitasking with Search Direction Alignment. Wenhao Du, Zhigang Ren, Muju Wang, An Chen, Hanqing Liu, Shenyu Su |
| 2023 | Evolving Constrained Reinforcement Learning Policy. Chengpeng Hu, Jiyuan Pei, Jialin Liu, Xin Yao |
| 2023 | Experience-Dependent Axonal Plasticity in Large-Scale Spiking Neural Network Simulations. Lars Niedermeier, Jeffrey L. Krichmar |
| 2023 | Explainable Restaurant Closure Prediction through Co-Attentive Contrastive Learning. Hao Cheng, Wei Zhang, Shuo Wang, Hao Liao |
| 2023 | Explainable Sequential Anomaly Detection via Prototypes. He Cheng, Depeng Xu, Shuhan Yuan |
| 2023 | Explainable exclusion in the life insurance using multi-label classifier. Khanh-Van Nguyen, Md. Rafiqul Islam, Huan Huo, Peter Tilocca, Guandong Xu |
| 2023 | Explaining Identity-aware Graph Classifiers through the Language of Motifs. Alan Perotti, Paolo Bajardi, Francesco Bonchi, André Panisson |
| 2023 | Explicitly Learning Policy Under Partial Observability in Multiagent Reinforcement Learning. Chen Yang, Guangkai Yang, Hao Chen, Junge Zhang |
| 2023 | Exploiting Deep Learning for Sentence-Level Lipreading. Isabella Wu, Xin Wang |
| 2023 | Exploiting ResNeXt with Convolutional Shortcut for Signal Modulation Classification at Low SNRs. Yuanyuan Gu, Xin Zhou |
| 2023 | Exploiting User Preference in GNN-based Social Recommendation with Contrastive Learning. Xiufang Liang, Yingzheng Zhu, Huajuan Duan, Fuyong Xu, Peiyu Liu, Ran Lu |
| 2023 | Exploring Machine Learning Privacy/Utility Trade-Off from a Hyperparameters Lens. Ayoub Arous, Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique |
| 2023 | Exploring Quantum Machine Learning for Explainable Malware Detection. Giovanni Ciaramella, Fabio Martinelli, Francesco Mercaldo, Antonella Santone |
| 2023 | Exploring the Hysteresis Effect of Li-ion Batteries: A Machine Learning based Approach. Fei Li, Sijie Zhang, Heng Li, Yaoxin Xia, Lisen Yan, Zhiwu Huang |
| 2023 | Extending Interpolation Consistency Training for Unsupervised Domain Adaptation. Shayan Gharib, Arto Klami |
| 2023 | Extreme events in small ensemble of bursting neurons with chemical and electrical couplings. Sergej Olenin, Tatiana A. Levanova |
| 2023 | FA-Net: More Accurate Encrypted Network Traffic Classification Based on Burst with Self-Attention. Minghao Jiang, Mingxin Cui, Chengshang Hou, Wei Cai, Zhen Li, Gang Xiong, Gaopeng Gou |
| 2023 | FABLE: A Development and Computing Framework for Brain-inspired Learning Algorithms. Meng Pang, Yuchen Li, Zhaolin Li, Youhui Zhang |
| 2023 | FAQ: Mitigating the Impact of Faults in the Weight Memory of DNN Accelerators through Fault-Aware Quantization. Muhammad Abdullah Hanif, Muhammad Shafique |
| 2023 | FAU-Gaze: Fast and Accurate User-specific Gaze Estimation Framework. Ye Ding, Li Lu, Ziyuan Liu, Songjie Wu, Qing Liao |
| 2023 | FEAMNet: Light Field Depth Estimation Network Based On Feature Extraction and Attention Mechanism. Yunming Liu, Yuxuan Pan, Kaiyue Luo, Yu Liu, Lin Zhang |
| 2023 | FG-UAP: Feature-Gathering Universal Adversarial Perturbation. Zhixing Ye, Xinwen Cheng, Xiaolin Huang |
| 2023 | FLCAP: Federated Learning with Clustered Adaptive Pruning for Heterogeneous and Scalable Systems. Hugo Miralles, Tamara Tosic, Michel Riveill |
| 2023 | FLWGAN: Federated Learning with Wasserstein Generative Adversarial Network for Brain Tumor Segmentation. Peketi Divya, Vishnu Chalavadi, C. Krishna Mohan, Yen-Wei Chen |
| 2023 | FPGA Implementation of a Chaotic Boltzmann Machine Annealer. Kanta Yoshioka, Yuichi Katori, Yuichiro Tanaka, Osamu Nomura, Takashi Morie, Hakaru Tamukoh |
| 2023 | FW-ECPE: An Emotion-Cause Pair Extraction Model Based on Fusion Word Vectors. Xinyi Song, Dongsheng Zou, Yi Yu, Xiaotong Zhang |
| 2023 | Faces are Domains: Domain Incremental Learning for Expression Recognition. Rahul Singh Maharjan, Marta Romeo, Angelo Cangelosi |
| 2023 | Facial Image Manipulation via Discriminative Decomposition of Semantic Space. Jiazhou Zheng, Hiroaki Aizawa, Takio Kurita |
| 2023 | Fair Selection through Kernel Density Estimation. Xiangyu Jiang, Yucong Dai, Yongkai Wu |
| 2023 | Fair_FM: An Improved Functional Mechanism to Provide Better Privacy Protection and Fairness Guarantee. Zuotian Han, Yukun Yan, Qilong Han |
| 2023 | Fairer Machine Learning Through the Hybrid of Multi-objective Evolutionary Learning and Adversarial Learning. Shenhao Gui, Qingquan Zhang, Changwu Huang, Bo Yuan |
| 2023 | FastAct: A Lightweight Actor Compression Framework for Fast Policy Learning. Hongjie Zhang, Haoming Ma, Zhenyu Chen |
| 2023 | FastCaps: A Design Methodology for Accelerating Capsule Network on Field Programmable Gate Arrays. T. P. Abdul Rahoof, Vivek Chaturvedi, Muhammad Shafique |
| 2023 | Faster Convergence for Transformer Fine-tuning with Line Search Methods. Philip Kenneweg, Leonardo Galli, Tristan Kenneweg, Barbara Hammer |
| 2023 | Feature Attribution Explanation to Detect Harmful Dataset Shift. Ziming Wang, Changwu Huang, Xin Yao |
| 2023 | Feature Decoupling in Self-supervised Representation Learning for Open Set Recognition. Jingyun Jia, Philip K. Chan |
| 2023 | Feature Selection using Complex Networks to Support Price Trend Forecast in Energy Markets. Douglas Castilho, Moisés R. Santos, Renato Tinós, André C. P. L. F. de Carvalho, Marcos B. S. Paula, Lucas Ladeira, Ewerton Guarnier, Donato da Silva-Filho, Danilo Y. Suiama, Antonio Carlos De Oliveira Júnior, Lucas Penido Alípio |
| 2023 | Feature Stylization Adversarial Domain Generalization. Zhengzhong Hu |
| 2023 | Feature selection for regression tasks base on explainable artificial intelligence procedures. Piotr A. Kowalski, Maciej Walczak |
| 2023 | FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection. Thuy Dung Nguyen, Anh Duy Nguyen, Thanh-Hung Nguyen, Kok-Seng Wong, Huy Hieu Pham, Truong Thao Nguyen, Phi Le Nguyen |
| 2023 | FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation. Sheng Wan, Dashan Gao, Hanlin Gu, Daning Hu |
| 2023 | FedRRA: Reputation-Aware Robust Federated Learning against Poisoning Attacks. Liping Yi, Xiaorong Shi, Wenrui Wang, Gang Wang, Xiaoguang Liu |
| 2023 | Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments. Rui Song, Dai Liu, Dave Zhenyu Chen, Andreas Festag, Carsten Trinitis, Martin Schulz, Alois Knoll |
| 2023 | Federated Survival Forests. Alberto Archetti, Matteo Matteucci |
| 2023 | FederatedNILM: A Distributed and Privacy-Preserving Framework for Non-Intrusive Load Monitoring Based on Federated Deep Learning. Shuang Dai, Fanlin Meng, Qian Wang, Xizhong Chen |
| 2023 | Few Shot Object Detection with Incompletely Annotated Samples. Bo Qiao, Huajun Zhou, Lingxiao Yang, Xiaohua Xie |
| 2023 | Few-Shot Action Recognition with A Transductive Maximum Margin Classifier. Fei Pan, Jie Guo, Yanwen Guo |
| 2023 | Few-shot learning for trajectory outlier detection with only normal trajectories. Yueyang Su, Di Yao, Jingping Bi |
| 2023 | Fighting Attacks on Large Character Set CAPTCHAs Using Transferable Adversarial Examples. Yucheng Fu, Guoheng Sun, Han Yang, Juntian Huang, Haizhou Wang |
| 2023 | Filter-based Online Neuro-Fuzzy Model Learning using Noisy Measurements. Wen Gu, Jianglin Lan, Byron Mason |
| 2023 | Financial Time Series Data Prediction by Combination Model Adaboost-KNN-LSTM. Heng Zhao, Xinran Li, Jiakai Xu, Xianghua Fu, Jiehao Chen |
| 2023 | Finding Cycles in Graph: A Unified Approach for Various NER Tasks. Liang Qiao, Pengfei Li, Ting Jin, Xi Li |
| 2023 | Finding, and Countering, Future Resistance using Bacterial Antibiotic Adversarial Genetic Algorithm (BAAGA). Cory Kromer-Edwards, Suely Oliveira |
| 2023 | Fine-grained Similarity Matching with a Similarity Filtration Pyramid for Code Search. Cong Tan, Shun Yang |
| 2023 | Fixed Point Laplacian Mapping: A Geometrically Correct Manifold Learning Algorithm. Dai Shi, Andi Han, Yi Guo, Junbin Gao |
| 2023 | Fixed-time stabilization for impulsive neural networks. Andrzej Nowakowski, Radoslaw Matusik, Anna Michalak |
| 2023 | Flexible BERT with Width- and Depth-dynamic Inference. Ting Hu, Christoph Meinel, Haojin Yang |
| 2023 | Flexible Contribution Estimation Methods for Horizontal Federated Learning. Xiangjing Hu, Congjian Luo, Dun Zeng, Zenglin Xu, Ping Guo, Irwin King |
| 2023 | Forecasting Early with Meta Learning. Shayan Jawed, Kiran Madhusudhanan, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme |
| 2023 | Forecasting Evolution of Clusters in Game Agents with Hebbian Learning. Beomseok Kang, Saibal Mukhopadhyay |
| 2023 | FraudAmmo: Large Scale Synthetic Transactional Dataset for Payment Fraud Detection. Karthikeswaren Ramachandran, Kanishka Kayathwal, Hardik Wadhwa, Gaurav Dhama |
| 2023 | From Implicit to Explicit: A Simple Generative Method for Aspect-Category-Opinion-Sentiment Quadruple Extraction. Songda Li, Yunqi Zhang, Yuquan Lan, Hui Zhao, Gang Zhao |
| 2023 | Fruit Picker Activity Recognition with Wearable Sensors and Machine Learning. Joel Janek Dabrowski, Ashfaqur Rahman |
| 2023 | FsNet: Feature Selection Network on High-dimensional Biological Data. Dinesh Singh, Héctor Climente-González, Mathis Petrovich, Eiryo Kawakami, Makoto Yamada |
| 2023 | G&L: An Attention-based Model for Improving Prefetching in Solid-state Drives. Chenxu Yang, Xin Man, Jie Shao |
| 2023 | GAE-ISUMM: Unsupervised Graph-based Summarization for Indian Languages. Lakshmi Sireesha Vakada, Anudeep Chaluvadi, Mounika Marreddy, Subba Reddy Oota, Radhika Mamidi |
| 2023 | GAN Latent Space Manipulation Based Augmentation for Unbalanced Emotion Datasets. Yuhan Xiong, Jiawei You, Liping Shen |
| 2023 | GCN-based End-to-End Model for Comparative Opinion Quintuple Extraction. Qingting Xu, Yu Hong, Fubang Zhao, Kaisong Song, Jiaxiang Chen, Yangyang Kang, Guodong Zhou |
| 2023 | GCNH: A Simple Method For Representation Learning On Heterophilous Graphs. Andrea Cavallo, Claas Grohnfeldt, Michele Russo, Giulio Lovisotto, Luca Vassio |
| 2023 | GEMM: A Graph Embedded Model for Memorability Prediction. Tahsin Tariq Banna, Swakshar Deb, Sejuti Rahman, Shafin Rahman |
| 2023 | GENet: Guidance Enhancement Network for 3D Shape Recognition. Xiaofeng Wang, Qingzhe Cui, Lixiang Xu, Haifeng Liu, Lixin He, Bin Luo, Sibao Chen, Yuanyan Tang |
| 2023 | GIT: Detecting Uncertainty, Out-Of-Distribution and Adversarial Samples using Gradients and Invariance Transformations. Julia Lust, Alexandru Paul Condurache |
| 2023 | GLCNet: Global-Local Complementary Network for 3D Shape Recognition. Xiaofeng Wang, Qingzhe Cui, Lixiang Xu, Haifeng Liu, Lixin He, Bin Luo, Sibao Chen, Yuanyan Tang |
| 2023 | GLQA: A Generation-based Method for Legal Question Answering. Weiqi Zhang, Hechuan Shen, Tianyi Lei, Qian Wang, Dezhong Peng, Xu Wang |
| 2023 | GLSI Texture Descriptor Based on Complex Networks for Music Genre Classification. Andrés Eduardo, Coca Salazar |
| 2023 | GamMa: Efficient Fine-Tuning of Pre-Trained Language Models Using Gradient Activation Mapping Masking. Anchun Gui, Jinqiang Ye, Han Xiao |
| 2023 | GenTAL: Generative Denoising Skip-gram Transformer for Unsupervised Binary Code Similarity Detection. Li Tao Li, Steven H. H. Ding, Philippe Charland |
| 2023 | General Adversarial Perturbation Simulating: Protect Unknown System by Detecting Unknown Adversarial Faces. Hefei Ling, Feiran Sun, Jinyuan Zhang, Xiaorui Lin, Jiazhong Chen, Ping Li, Qian Wang |
| 2023 | Generalization Across Subjects and Sessions for EEG-based Emotion Recognition Using Multi-source Attention-based Dynamic Residual Transfer. Wanqing Jiang, Gaofeng Meng, Tianzi Jiang, Nianming Zuo |
| 2023 | Generating Adversarial Examples with Better Transferability via Masking Unimportant Parameters of Surrogate Model. Dingcheng Yang, Wenjian Yu, Zihao Xiao, Jiaqi Luo |
| 2023 | Generating Questions via Unexploited OCR Texts: Prompt-Based Data Augmentation for TextVQA. Mingjie Han, Ting Jin, Wancong Lin, Can Li, Liang Qiao |
| 2023 | Generative Models vs Discriminative Models: Which Performs Better in Detecting Cyberbullying in Memes? Raghav Jain, Krishanu Maity, Prince Jha, Sriparna Saha |
| 2023 | Global and Adaptive Local Label Correlation for Multi-label Learning with Missing Labels. Qingxia Jiang, Peipei Li, Yuhong Zhang, Xuegang Hu |
| 2023 | Going Deeper with Recursive Convolutional Layers. Johan Chagnon, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli |
| 2023 | Gradient Descent Optimizes Normalization-Free ResNets. Zongpeng Zhang, Zenan Ling, Tong Lin, Zhouchen Lin |
| 2023 | Gradient Sign Inversion: Making an Adversarial Attack a Good Defense. Xiaojian Ji, Li Dong, Rangding Wang, Diqun Yan, Yang Yin, Jinyu Tian |
| 2023 | Gradient Sparsification For Masked Fine-Tuning of Transformers. James O'Neill, Sourav Dutta |
| 2023 | Graph Convolutional Networks Based Standard Essential Patents Identification. Weidong Liu, Rui Li, Wei Tang |
| 2023 | Graph Learning by Dynamic Sampling. Luca Hermes, Aleksei Liuliakov, Malte Schilling |
| 2023 | Graph Neural Network with Virtual Edge Message Passing for Heterophilous Graphs. Chengcheng Sun, Qiang Niu, Xiaobin Rui, Zhixiao Wang |
| 2023 | Graph Pruning and Representation Learning for Stance Detection. Jianing Xu, Yang Li |
| 2023 | Graph Representation for Weakly-Supervised Spatio-Temporal Action Detection. Dinesh Singh |
| 2023 | Gravity-Shift-VIO: Adaptive Acceleration Shift and Multi-Modal Fusion with Transformer in Visual-Inertial Odometry. JiaLe Chen, Shuang Zhang, Zhiheng Li, Xin Jin |
| 2023 | Grid Feature Jigsaw for Self-supervised Image Clustering. Zijie Song, Zhenzhen Hu, Richang Hong |
| 2023 | Growing Neural Gas based Traversability Clustering for an Autonomous Robot. Koki Ozasa, Yuichiro Toda, Takayuki Matsuno |
| 2023 | HDResNet: Hierarchical-Decomposition Residual Network for Hierarchical Time Series Forecasting. Yi Xiang, Haoran Sun, Wenting Tu |
| 2023 | HES: Edge Sampling for Heterogeneous Graphs. Le Fang, Chuan Wu |
| 2023 | HGKT: Hypergraph-based Knowledge Tracing for Learner Performance Prediction. Yuwei Ye, Zhilong Shan |
| 2023 | HQProtoPNet: An Evidence-Based Model for Interpretable Image Recognition. Jingqi Wang, Jiajie Peng, Zhiming Liu, Hengjun Zhao |
| 2023 | HSimCSE: Improving Contrastive Learning of Unsupervised Sentence Representation with Adversarial Hard Positives and Dual Hard Negatives. Bo Xu, Shouang Wei, Luyi Cheng, Shizhou Huang, Hui Song, Ming Du, Hongya Wang |
| 2023 | HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation. Rui Chen, Guotao Liang, Chenrui Ma, Qilong Han, Li Li, Xiao Huang |
| 2023 | Handling Chinese OOV with a Combination of Radical-based Sub-words and Glyph Features. Yifan Xu, Yohei Seki |
| 2023 | Handling Class Imbalance by Estimating Minority Class Statistics. Faizanuddin Ansari, Swagatam Das, Pourya Shamsolmoali |
| 2023 | Handwritten Chinese Character Generation via Embedding, Decomposition and Discrimination. Yuanyuan Zhang, Yonghong Song, Anqi Li |
| 2023 | Hard Negative Sampling via Regularized Optimal Transport for Contrastive Representation Learning. Ruijie Jiang, Prakash Ishwar, Shuchin Aeron |
| 2023 | Heterogeneous Graph Interaction based Event Extraction with Attentional Position Embeddings. Xin Guo, Xuejing Wang, Qian Chen, Suge Wang, Jianxing Zheng, Jian Liao, Hui Liu |
| 2023 | Heterogeneous-graph Attention Reinforcement Learning for Football Matches. Shijie Wang, Yi Pan, Zhiqiang Pu, Jianqiang Yi, Yanyan Liang, Du Zhang |
| 2023 | Hidden Design Principles in Zero-Cost Performance Predictors for Neural Architecture Search. André Ramos Fernandes Da Silva, Lucas Marcondes Pavelski, Luiz Alberto Queiroz Cordovil Júnior |
| 2023 | Hierarchical Knowledge Transfer Network for Distantly Supervised Relation Extraction. Wei Song, Weishuai Gu |
| 2023 | Hierarchical Transformer-based Siamese Network for Related Trading Detection in Financial Market. Le Kang, Tai-Jiang Mu, Guoping Zhao |
| 2023 | High Dynamic Range Imaging with Context-aware Transformer. Fangfang Zhou, Zhengming Fu, Dan Zhang |
| 2023 | High-Level Classification for EEG Analysis. Murillo G. Carneiro, Camila D. Ramos, João-Batista Destro-Filho, Yu-tao Zhu, Donghong Ji, Liang Zhao |
| 2023 | High-Throughput Privacy-Preserving GRU Network with Homomorphic Encryption. Zeyu Wang, Makoto Ikeda |
| 2023 | Homeostatic Reinforcement Learning through Soft Behavior Switching with Internal Body State. Naoto Yoshida, Hoshinori Kanazawa, Yasuo Kuniyoshi |
| 2023 | How AI Affects Our Understanding of Musical Works That Should Be Protected by Copyright. Amanda M. Horzyk |
| 2023 | How Does Knowledge Injection Help in Informed Machine Learning? Laura von Rüden, Jochen Garcke, Christian Bauckhage |
| 2023 | How Image Corruption and Perturbation Affect Out-of-Distribution Generalization and Calibration. Keigo Tada, Hiroki Naganuma |
| 2023 | How Object Information Improves Skeleton-based Human Action Recognition in Assembly Tasks. Dustin Aganian, Mona Köhler, Sebastian Baake, Markus Eisenbach, Horst-Michael Groß |
| 2023 | Human-in-the-Loop Machine Learning for the Treatment of Pancreatic Cancer. Eduardo Mosqueira-Rey, Alberto Pérez-Sánchez, Elena Hernández-Pereira, David Alonso-Ríos, José Bobes-Bascarán, Ángel Fernández-Leal, Vicente Moret-Bonillo, Yolanda Vidal-Ínsua, Francisca Vázquez-Rivera |
| 2023 | Hybrid Clustering Solutions Fusion based on Gated Three-way Decision. Kaixiang Yang, Yifan Shi, Zhiwen Yu, Zhijie Zhong, Jichao Bi, Mengzhi Wang |
| 2023 | Hybrid Data Augmentation for Citation Function Classification. Yang Zhang, Yufei Wang, Quan Z. Sheng, Adnan Mahmood, Wei Emma Zhang, Rongying Zhao |
| 2023 | Hybrid Domain Meta-Learning Network for Face Forgery Detection and Localization in Deepfakes. Hongjie Zhao, Beibei Liu, Yongjian Hu, Jicheng Li, Chang-Tsun Li |
| 2023 | IC-CViT: Inverse-Consistent Convolutional Vision Transformer for Diffeomorphic Image Registration. Tao Xu, Ting Jiang, Xiaoning Li |
| 2023 | IFA-Net: Isomerous Feature-aware Network for Single-view 3D Reconstruction. Zecheng Zhang, Xianfeng Han, Guoqiang Xiao |
| 2023 | Image Alone Are Not Enough: A General Semantic-Augmented Transformer-Based Framework for Image Captioning. Jiawei Liu, Xin Lin, Liang He |
| 2023 | Image-to-Image Translation on Defined Highlighting Regions by Semi-Supervised Semantic Segmentation. Ching-Yu Chang, Chun-Ting Ye, Tzer-Jen Wei |
| 2023 | Imperceptible Adversarial Attack on S Channel of HSV Colorspace. Tong Zhu, Zhaoxia Yin, Wanli Lyu, Jiefei Zhang, Bin Luo |
| 2023 | Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects. Conrad Sanderson, David Douglas, Qinghua Lu |
| 2023 | Improve Robustness of Graph Neural Networks: Multi-hop Neighbors Meet Homophily-based Truncation Defense. Yujie Gu, Huiyan Sun, Yansong Wang, Haobo Shi |
| 2023 | Improved Keyword Recognition Based on Aho-Corasick Automaton. Yachao Guo, Zhibin Qiu, Hao Huang, Chng Eng Siong |
| 2023 | Improved Training of Physics-Informed Neural Networks with Model Ensembles. Katsiaryna Haitsiukevich, Alexander Ilin |
| 2023 | Improved Word Sense Disambiguation via Prompt-based Contextual Word Representation. Qipeng He, Jian Zhang, Xueting Huang |
| 2023 | Improving Aspect Sentiment Triplet Extraction with Perturbed Masking and Edge-Enhanced Sentiment Graph Attention Network. Songhua Yang, Tengxun Zhang, Hongfei Xu, Yuxiang Jia |
| 2023 | Improving Chinese Spelling Correction by Ranking. Jun Feng, Shuai Wang, Wenbiao Yin, Lin Shang |
| 2023 | Improving Complex Knowledge Base Question Answering with Relation-Aware Subgraph Retrieval and Reasoning Network. Dan Luo, Jiawei Sheng, Hongbo Xu, Lihong Wang, Bin Wang |
| 2023 | Improving Knowledge Tracing with Diverse Question Factors. Yan Zhao, Huifang Ma, Wentao Wang, Weiwei Gao, Jing Wang, Xiangchun He |
| 2023 | Improving Math Word Problems Solver with Logical Semantic Similarity. Ting Lu, Haitao Jiang, Shan Chang, Guohua Liu |
| 2023 | Improving REITs Time Series Prediction Using ML and Technical Analysis Indicators. Fatim Z. Habbab, Michael Kampouridis, Tasos Papastylianou |
| 2023 | Improving Relation Extraction by Entity-Level Contrastive Learning. Ting Lu, Shengbiao Wang, Qiubo Huang, Wenjing Guo, Shan Chang, Guohua Liu |
| 2023 | Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks. Ferheen Ayaz, Idris Zakariyya, José Cano, Sye Loong Keoh, Jeremy Singer, Danilo Pau, Mounia Kharbouche-Harrari |
| 2023 | Improving Siamese Neural Networks with Border Extraction Sampling for the use in Real-Time Network Intrusion Detection. Marek Pawlicki, Rafal Kozik, Michal Choras |
| 2023 | Improving Single-Step Adversarial Training By Local Smoothing. Shaopeng Wang, Yanhong Huang, Jianqi Shi, Yang Yang, Xin Guo |
| 2023 | Improving Stock Trend Prediction with Multi-granularity Denoising Contrastive Learning. Mingjie Wang, Feng Chen, Jianxiong Guo, Weijia Jia |
| 2023 | Improving The Local Stability of Deep Model With Margin Losses. Haonan Wang, Pengbo Yang, Jitao Sang |
| 2023 | Improving Visual Question Answering by Multimodal Gate Fusion Network. Shenxiang Xiang, Qiaohong Chen, Xian Fang, Menghao Guo |
| 2023 | Improving small object detection with DETRAug. Evair Cunha, David L. Macêdo, Cleber Zanchettin |
| 2023 | Improving the Robustness of Neural Networks to Noisy Multi-Level Non-Volatile Memory-based Synapses. Manon Dampfhoffer, Joel Minguet Lopez, Thomas Mesquida, Alexandre Valentian, Lorena Anghel |
| 2023 | Improving the Transferability of Adversarial Attacks through Experienced Precise Nesterov Momentum. Hao Wu, Jinwei Wang, Jiawei Zhang, Yufeng Wu, Bin Ma, Xiangyang Luo |
| 2023 | Improving the Transferability of Adversarial Examples with Diverse Gradients. Yangjie Cao, Haobo Wang, Chenxi Zhu, Yan Zhuang, Jie Li, Xianfu Chen |
| 2023 | Inclusive normalization of face images to passport format. Hongliu Cao, Minh Nhat Do, Alexis Ravanel, Eoin Thomas |
| 2023 | Incorporating Least-Effort Loss to Stabilize Training of Wasserstein GAN. Fanqi Li, Lin Wang, Bo Yang, Pengwei Guan |
| 2023 | Incorporating Spatial Sparsity Constraint into Complex IVA of Multi-subject Complex-Valued fMRI Data. Chao-Ying Zhang, Wei-Xing Li, Li-Dan Kuang, Qiu-Hua Lin |
| 2023 | Inductive Dummy-based Homogeneous Neighborhood Augmentation for Graph Collaborative Filtering. Wei Ding, Jiawei Sun, Jie Li, Chentao Wu |
| 2023 | Insty-GAN for Image-to-Image Location Transfer. Sanbi Luo |
| 2023 | Interaction-Focused Anomaly Detection on Bipartite Node-and-Edge-Attributed Graphs. Rizal Fathony, Jenn Ng, Jia Chen |
| 2023 | Interactive Capsule Networks with a Novel Dynamic Routing Mechanism for Implicit Discourse Relation Recognition. Jing Xu, Ruifang He, Haodong Zhao |
| 2023 | Interesting Near-boundary Data: Inferring Model Ownership for DNNs. Zhe Sun, Zongwen Yang, Zhongyu Huang, Yu Zhang, Jianzhong Zhang |
| 2023 | International Joint Conference on Neural Networks, IJCNN 2023, Gold Coast, Australia, June 18-23, 2023 |
| 2023 | Interpretability for Conditional Coordinated Behavior in Multi-Agent Reinforcement Learning. Yoshinari Motokawa, Toshiharu Sugawara |
| 2023 | Interpretable Diversity Analysis: Visualizing Feature Representations in Low-Cost Ensembles. Tim Whitaker, Darrell Whitley |
| 2023 | Interpretable and Effective Reinforcement Learning for Attacking against Graph-based Rumor Detection. Yuefei Lyu, Xiaoyu Yang, Jiaxin Liu, Sihong Xie, Philip S. Yu, Xi Zhang |
| 2023 | Invariant and Sufficient Supervised Representation Learning. Junyu Zhu, Xu Liao, Changshi Li, Yuling Jiao, Jin Liu, Xiliang Lu |
| 2023 | Investigating Random Variations of the Forward-Forward Algorithm for Training Neural Networks. Fabio Giampaolo, Stefano Izzo, Edoardo Prezioso, Francesco Piccialli |
| 2023 | Iterative Fusion Method Based on Heterogeneous Graph Neural Network for Entity Alignment. Zirui Zhang, Fanfang Meng, Yuanhui Meng, Xiaoxia Liu, Benhui Chen |
| 2023 | Joint Multi-View Collaborative Clustering. Yasser Khalafaoui, Basarab Matei, Nistor Grozavu, Martino Lovisetto |
| 2023 | Joint Node Representation Learning and Clustering for Attributed Graph via Graph Diffusion Convolution. Yiwei Guo, Le Kang, Mengqi Wu, Lijuan Zhou, Zhihong Zhang |
| 2023 | Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks. Thomas Altstidl, An Nguyen, Leo Schwinn, Franz Köferl, Christopher Mutschler, Björn M. Eskofier, Dario Zanca |
| 2023 | KEPR: Knowledge Enhancement and Plausibility Ranking for Generative Commonsense Question Answering. Zhifeng Li, Bowei Zou, Yifan Fan, Yu Hong |
| 2023 | KETM:A Knowledge-Enhanced Text Matching method. Kexin Jiang, Yahui Zhao, Guozhe Jin, Zhenguo Zhang, Rongyi Cui |
| 2023 | Keeping the Questions Conversational: Using Structured Representations to Resolve Dependency in Conversational Question Answering. Munazza Zaib, Quan Z. Sheng, Wei Emma Zhang, Adnan Mahmood |
| 2023 | Knowing the Unknown: Open-set Bacteria Classification in Gram Stain Microscopic Images. Sarah Alhammad, Brian C. Lovell |
| 2023 | Knowledge Distillation with Deep Supervision. Shiya Luo, Defang Chen, Can Wang |
| 2023 | Knowledge Graph Enhanced Sentential Relation Extraction via Dual Heterogeneous Graph Context Selection. Bo Xu, Nian Liu, Luyi Cheng, Shizhou Huang, Shouang Wei, Ming Du, Hui Song, Hongya Wang |
| 2023 | Koopformer: Robust Multivariate Long-Term Prediction via Mixed Koopman Neural Operator and Spatial-Temporal Transformer. Hui Wang, Liping Wang, Qicang Qiu, Hao Jin, Yuyan Gao, Yanjie Lu, Haisen Wang, Wei Wu |
| 2023 | L-Yolov5: A multi-scale channel attention-based method for real-time safety helmet detection of electrical construction workers. Tianyang Li, Hanwen Xu, Yingnan Han, Yi Zhao, Hongbin Yan |
| 2023 | LCCN: A Lightweight Capture Context Network for Image Super-Resolution. Changchun Wen, Hu Liang, Shengrong Zhao |
| 2023 | LCDeT: LiDAR Curb Detection Network with Transformer. Jian Gao, Haoxiang Jie, Bingqing Xu, Lifeng Liu, Jun Hu, Wei Liu |
| 2023 | LD2-YOLO: A Defect Detection Method for Automotive Composite Leather. Meng Chen, Jun Gao, Wuxin Yu, Hujian Peng |
| 2023 | LFLD: A Lightweight Facial Landmark Detector Based on Auxiliary Heatmap. Shidong Chen, Huicong Bian, Yalun Wang, Weixiao Li, Qin Lu |
| 2023 | LGEFE: Effective Local-Global-External Feature Extraction for 3D Point Cloud Classification. Jiuqiang Li |
| 2023 | LGWAE: Label-Guided Weighted Autoencoder Network for Flexible Targeted Attacks of Deep Hashing. Sizheng Fu, Chunjie Cao, Fangjian Tao, Binghui Zou, Xiaoyu Lin, Jingzhang Sun |
| 2023 | LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs on Complex Geometry. Jian Cheng Wong, Pao-Hsiung Chiu, Chinchun Ooi, My Ha Dao, Yew-Soon Ong |
| 2023 | LU-Net: Invertible Neural Networks Based on Matrix Factorization. Robin Chan, Sarina Penquitt, Hanno Gottschalk |
| 2023 | Landmark-based Partial Multi-label Learning with Noise Processing. Boyuan Zhang, Zheming Li, Landong Liu, Zhenwu Wang |
| 2023 | Langevin Algorithms for Markovian Neural Networks and Deep Stochastic Control. Pierre Bras, Gilles Pagès |
| 2023 | Latent Neural Phase Model for Synchronization Analysis. Masahiro Kohjima |
| 2023 | Leaky-Integrate-and-Fire Neuron-Like Long-Short-Term-Memory Units as Model System in Computational Biology. Richard Gerum, André Erpenbeck, Patrick Krauss, Achim Schilling |
| 2023 | LeanStereo: A Leaner Backbone based Stereo Network. Rafia Rahim, Samuel Woerz, Andreas Zell |
| 2023 | Learn to Encode Heterogeneous Data: A Heterogeneous Aware Network for Multi-Future Trajectory Prediction. Zheng Yang, Bing Han, Weiming Chen, Xin Gao |
| 2023 | Learnable Query Guided Representation Learning for Treatment Effect Estimation. Chenchen Fan, Yixin Wang, Yahong Zhang, Wenli Ouyang, Sheng Shi, Wei Fan, Jianping Fan |
| 2023 | Learning Arc-Length Value Function for Fast Time-Optimal Pick and Place Sequence Planning and Execution. Prajwal Thakur, M. Nomaan Qureshi, Arun Kumar Singh, Y. V. S. Harish, Pushkal Katara, Houman Masnavi, K. Madhava Krishna, Brojeshwar Bhowmick |
| 2023 | Learning Cooperative Policies with Graph Networks in Distributed Swarm Systems. Tianle Zhang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi, Xiaolin Ai, Wanmai Yuan |
| 2023 | Learning Golf Swing Key Events from Gaussian Soft Labels Using Multi-Scale Temporal MLPFormer. Yanting Zhang, Fuyu Tu, Zijian Wang, Wenjing Guo, Dandan Zhu |
| 2023 | Learning Hierarchical Semantic Information for Efficient Low-Light Image Enhancement. Wenfeng Huang, Xiangyun Liao, Yinling Qian, Wenjing Jia |
| 2023 | Learning Low-Rank Representations for Model Compression. Zezhou Zhu, Yuan Dong, Zhong Zhao |
| 2023 | Learning Meta-Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction. Zifeng Ding, Bailan He, Jingpei Wu, Yunpu Ma, Zhen Han, Volker Tresp |
| 2023 | Learning Rich Detailed Features and Object Relations for Object Detection. Yuantian Xia, Shuhan Lu, Longhe Wang, Lin Li |
| 2023 | Learning Self-Supervised Representations for Label Efficient Cross-Domain Knowledge Transfer on Diabetic Retinopathy Fundus Images. Ekta Gupta, Varun Gupta, Muskaan Chopra, Prakash Chandra Chhipa, Marcus Liwicki |
| 2023 | Learning Superior Cooperative Policy in Adversarial Multi-Team Reinforcement Learning. Qingxu Fu, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi, Xiaolin Ai, Wanmai Yuan |
| 2023 | Learning Unified Video-Language Representations via Joint Modeling and Contrastive Learning for Natural Language Video Localization. Chenhao Cui, Xinnian Liang, Shuangzhi Wu, Zhoujun Li |
| 2023 | Learning What, Where and Which to Transfer. Lucas de Lima Nogueira, David L. Macêdo, Cleber Zanchettin, Fernando M. P. Neto, Adriano Lorena Inácio de Oliveira |
| 2023 | Learning to Classify Faster Using Spiking Neural Networks. Pranav Machingal, Mohammed Thousif, Shirin Dora, Suresh Sundaram, Qinggang Meng |
| 2023 | Least Redundant Gated Recurrent Neural Network. Lukasz Neumann, Lukasz Lepak, Pawel Wawrzynski |
| 2023 | Leveraging Node Attributes for Link Prediction via Meta-path Based Proximity. Xiaoyan Feng, Mingyang Dai |
| 2023 | Leveraging Task Dependencies and Label Constraints for Legal Judgment Prediction. Wei Li, Li Li |
| 2023 | Lifelong Machine Learning for Topic Modeling Based on Hellinger Distance. Mohammad Kamel Daradkeh, Wathiq Mansoor, Shadi Atalla, Yassine Himeur, Oussama Kerdjidj |
| 2023 | Light-weight Deep Extreme Multilabel Classification. Istasis Mishra, Arpan Dasgupta, Pratik Jawanpuria, Bamdev Mishra, Pawan Kumar |
| 2023 | Lightweight Ghost Dense Network for Tomato Leaf Disease Identification. Yinan Wang, Zhijun Xie, Libo Zhuang, Kewei Chen, Yuntao Xie |
| 2023 | Linguistic Feature Injection for Efficient Natural Language Processing. Stefano Fioravanti, Andrea Zugarini, Francesco Giannini, Leonardo Rigutini, Marco Maggini, Michelangelo Diligenti |
| 2023 | LisaCLIP: Locally Incremental Semantics Adaptation towards Zero-shot Text-driven Image Synthesis. An Cao, Yilin Zhou, Gang Shen |
| 2023 | LoGo Transformer: Hierarchy Lightweight Full Self-Attention Network for Corneal Endothelial Cell Segmentation. YingLin Zhang, Zichao Cai, Risa Higashita, Jiang Liu |
| 2023 | Local and Global Context Modeling with Relation Matching Task for Dialog Act Recognition. Yuke Si, Yan Zhang, Yuhang Li, Xiaobao Wang, Longbiao Wang, Jianwu Dang, Eng Siong Chng, Haizhou Li |
| 2023 | LogPrompt: A Log-based Anomaly Detection Framework Using Prompts. Ting Zhang, Xin Huang, Wen Zhao, Shaohuang Bian, Peng Du |
| 2023 | Long-Term Power Consumption Prediction with Two-Stage Clustering Framework. Hsin-Chiao Wang, Yi-ling Chen |
| 2023 | Lorentzian Graph Convolution Networks for Collaborative Filtering. Zihong Zhu, Weiyu Zhang, Xinchao Guo, Xinxiao Qiao |
| 2023 | Low Power & Low Latency Cloud Cover Detection in Small Satellites Using On-board Neuromorphic Processors. Chetan Kadway, Sounak Dey, Arijit Mukherjee, Arpan Pal, Gilles Bézard |
| 2023 | Low Precision Quantization-aware Training in Spiking Neural Networks with Differentiable Quantization Function. Ayan Shymyrbay, Mohammed E. Fouda, Ahmed M. Eltawil |
| 2023 | Low-Power Lossless Image Compression on Small Satellite Edge using Spiking Neural Network. Sayan Kahali, Sounak Dey, Chetan Kadway, Arijit Mukherjee, Arpan Pal, Manan Suri |
| 2023 | LpAdvGAN: Noise Optimization Based Adversarial Network Generation Adversarial Example. Delong Yang, Jing Liu |
| 2023 | MA-YOLO: Multi-Scale Information Prediction Network Based on the Multi-Direction Weighted Pyramid for UAV Scene. Congcong Wang, Xiumei Wei, Xuesong Jiang |
| 2023 | MASZSL: A Multi-Block Attention-Based Description Generative Adversarial Network for Knowledge Graph Zero-Shot Relational Learning. Mei Yu, Pengtao Fan, Mankun Zhao, Wenbin Zhang, Yue Zhao, Ming Yang, Jian Yu |
| 2023 | MAdapter: A Multimodal Adapter for Liquid State Machines configures the Input Layer for the same Reservoir to enable Vision and Speech Classification. Anmol Biswas, Nivedya S. Nambiar, Kushal Kejriwal, Udayan Ganguly |
| 2023 | MEGA: Explaining Graph Neural Networks with Network Motifs. Feng Ding, Naiwen Luo, Shuo Yu, Tingting Wang, Feng Xia |
| 2023 | METEOR Guided Divergence for Video Captioning. Daniel Lukas Rothenpieler, Shahin Amiriparian |
| 2023 | MFGCL: Light graph contrast learning with multi-feature information for recommendation. Yijun Zhao, Fajian Jiang, Jinfeng Wang |
| 2023 | MFO-SENN: Self-evolving Radial Basis Function Neural Network using Moth Flame Optimization for Motor Imagery task Classification. Stuti Chug, Vandana Agarwal |
| 2023 | MHCP-RCNN: Multi-Human Color Parsing Segmentation using Multi-Task Network. S. K. Abhilash, Venu Madhav Nookala, Adithya Babu, Karthik S, Mithun VR |
| 2023 | MHRNet: A Multi-stage Image Deblurring Approach with High-Resolution Representation Learning. Wenfu Liu, Junjie Peng, Haochen Yuan, Luming Zhang, Zesu Cai |
| 2023 | MS-BioAP: A Pipeline for biomarker analysis based on data independent acquisition mass spectrometry. Zhenhua Zhang, Dehua Chen, Mei Wang, Qiao Pan, Zhen Wang |
| 2023 | MTCD-Model: A Two-Layer Model for Malicious Traffic Classification and Detection Based on Hierarchical Feature Learning. Ziang Li, Zhenyu Cheng, Tianning Zang, Yijie Li |
| 2023 | MTSNet: Deep Probabilistic Cross-multivariate Time Series Modeling with External Factors for COVID-19. Yang Yang, Longbing Cao |
| 2023 | MVMAFOL: A Multi-Access Three-Layer Federated Online Learning Algorithm for Internet of Vehicles. Jieying Zhou, Junyao Zheng, Bokai Cao, Weigang Wu |
| 2023 | MaD: A Dataset for Interview-based BPM in Business Process Management. Xiaoxuan Li, Lin Ni, Renee Li, Jiamou Liu, Mengxiao Zhang |
| 2023 | Machine Learning Survival Models for Relapse Prediction in a Early Stage Lung Cancer Patient. Mohan Timilsina, Samuele Buosi, Adrianna Janik, Pasquale Minervini, Luca Costabello, Maria Torrente, Mariano Provencio, Virginia Calvo, Carlos Camps, Ana L. Ortega, Bartomeu Massutí, M. Rosario Garcia Campelo, Edel del Barco, Joaquim Bosch-Barrera, Vít Novácek |
| 2023 | Machinery Anomaly Detection using artificial neural networks and signature feature extraction. Mansour Zoubeirou A. Mayaki, Michel Riveill |
| 2023 | Maintaining Distinction and Fairness in Data-Free Class Incremental Learning. Yu Feng, Pengcheng Zhao, Yadong Guo, Xue Zhao, Wangli Hao, Ran Zhao, Fuzhong Li |
| 2023 | Make BERT-based Chinese Spelling Check Model Enhanced by Layerwise Attention and Gaussian Mixture Model. Yongchang Cao, Liang He, Zhen Wu, Xinyu Dai |
| 2023 | Manually Crafted Chinese Text Corpus for Text Emotion Recognition. Bo Gao, Fan Zhang |
| 2023 | Market Making with Deep Reinforcement Learning from Limit Order Books. Hong Guo, Jianwu Lin, Fanlin Huang |
| 2023 | Mass-Based Short Term Selection of Classifiers in Data Streams. Daniel Nowak Assis, Fabrício Enembreck, Jean Paul Barddal |
| 2023 | Maximum Entropy Baseline for Integrated Gradients. Hanxiao Tan |
| 2023 | McXai: Local Model-Agnostic Explanation As Two Games. Yiran Huang, Nicole Schaal, Michael Hefenbrock, Yexu Zhou, Till Riedel, Michael Beigl |
| 2023 | Measuring Robustness of Deep Neural Networks from the Lens of Statistical Model Checking. Hao Bu, Meng Sun |
| 2023 | MemAU-Net: Memory-Enhanced Attention U-Net for Medical Image Forgery Localization. Nan Wang, Liping Yi, Gang Wang, Xiaoguang Liu |
| 2023 | Mental Health Prediction through Text Chat Conversations. Muhammad Nouman, Hollian Sara, Sui Yang Khoo, M. A. Parvez Mahmud, Abbas Z. Kouzani |
| 2023 | Meta-Learning from Multimodal Task Distributions Using Multiple Sets of Meta-Parameters. Anna Vettoruzzo, Mohamed-Rafik Bouguelia, Thorsteinn S. Rögnvaldsson |
| 2023 | Meta-MSGAT: Meta Multi-scale Fused Graph Attention Network. Ting Chen, Jianming Wang, Yukuan Sun |
| 2023 | Methodology for automatic extraction of red flags in public procurement. Weslley Lima, Ricardo Lira, Anselmo Cardoso de Paiva, Jasson Silva, Victor Silva |
| 2023 | Mitigating Negative Transfer with Task Awareness for Sexism, Hate Speech, and Toxic Language Detection. Angel Felipe Magnossão de Paula, Paolo Rosso, Damiano Spina |
| 2023 | Mixed Entropy Down-Sampling based Ensemble Learning for Speech Emotion Recognition. Zhengji Xuan, Dongdong Li, Zhe Wang, Hai Yang |
| 2023 | Mnemonic Dictionary Learning for Intrinsic Motivation in Reinforcement Learning. Renye Yan, Zhe Wu, Yuan Zhan, Pin Tao, Zongwei Wang, Yimao Cai, Junliang Xing |
| 2023 | MobileNet-Light: A Lightweight TCT Image Classification Model for Cervical Cancer. XingWen Pan, Chengzhuan Bao, Dehua Chen |
| 2023 | MobileWeatherNet for LiDAR-Only Weather Estimation. Martim Pinto Da Silva, Diogo Carneiro, João Fernandes, Luís Filipe Teixeira |
| 2023 | MocGCL: Molecular Graph Contrastive Learning via Negative Selection. Jinhao Cui, Heyan Chai, Yanbin Gong, Ye Ding, Zhongyun Hua, Cuiyun Gao, Qing Liao |
| 2023 | Modal Neural Network: Robust Deep Learning with Mode Loss Function. Liangxuan Zhu, Han Li, Wen Wen, Lingjuan Wu, Hong Chen |
| 2023 | Modality-Aware Negative Sampling for Multi-modal Knowledge Graph Embedding. Yichi Zhang, Mingyang Chen, Wen Zhang |
| 2023 | Model Driven Deep Unfolding Network for Extreme Low-Light Image Enhancement and Denoising. Shuang Cui, Fanjiang Xu, Xiongxin Tang, Quan Zheng |
| 2023 | Modeling Global-Local Subtopic Distribution with Hypergraph to Diversify Search Results. Kai Ouyang, Xianghong Xu, Zuotong Xie, Hai-Tao Zheng, Yanxiong Lu |
| 2023 | Modeling Protein Activities and Mutations with Graph Neural Networks: Insights into Hemophilia. Marcos Vinicius Ferreira, Tiago J. S. Lopes, Ricardo Araújo Rios, Tatiane Nogueira Rios |
| 2023 | Modeling Zero-Shot Relation Classification as a Multiple-Choice Problem. Yuquan Lan, Dongxu Li, Yunqi Zhang, Hui Zhao, Gang Zhao |
| 2023 | Modelling Grid Navigation Using Reinforcement Learning Linear Ballistic Accumulators. Gautham Venugopal, Bapi Surampudi Raju |
| 2023 | Modular Self-Supervised Learning for Hand Surgical Diagnosis. Léo Déchaumet, Younès Bennani, Joseph Karkazan, Abir Barbara, Charles Dacheux, Thomas Gregory |
| 2023 | Morphological Classification of Extragalactic Radio Sources Using Gradient Boosting Methods. Abdollah Masoud Darya, Ilias Fernini, Marley M. B. R. Vellasco, Abir Hussain |
| 2023 | Mosaic LSM: A Liquid State Machine Approach for Multimodal Longitudinal Data Analysis. Sugam Budhraja, Balkaran Singh, Maryam Doborjeh, Zohreh Gholami Doborjeh, Samuel Tan, Edmund M.-K. Lai, Wilson Wen Bin Goh, Nikola K. Kasabov |
| 2023 | Multi Feature Representation and Aggregation Network for Accurate and Robust Visual Tracking. Yijin Yang, Xiaodong Gu |
| 2023 | Multi-Branch Spatial-Temporal Decoupling Neural Network for Traffic Forecasting. Hui Zheng, Yi Qian, Ruoxuan Zhu, Xing Wang, Junlan Feng, Lin Zhu, Chao Deng |
| 2023 | Multi-Scale Depth-Aware Unsupervised Domain Adaption in Semantic Segmentation. Congying Xing, Lefei Zhang |
| 2023 | Multi-Scale Non-Local Sparse Attention for Single Image Super-Resolution. Xianwei Xiao, Baojiang Zhong |
| 2023 | Multi-Task Collaborative Attention Network for Pedestrian Attribute Recognition. Junliang Cao, Hua Wei, Yongli Sun, Zhifeng Zhao, Wei Wang, Guangze Sun, Gang Wang |
| 2023 | Multi-Task Meta Learning: learn how to adapt to unseen tasks. Richa Upadhyay, Prakash Chandra Chhipa, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki |
| 2023 | Multi-Truth Discovery While Being Aware of Unbalanced Data Distribution. Xiu Susie Fang, Quan Z. Sheng, Guohao Sun, Shan Chang, Hongya Wang, Jian Yang |
| 2023 | Multi-Turn Dialogue Agent as Sales' Assistant in Telemarketing. Wanting Gao, Xinyi Gao, Yin Tang |
| 2023 | Multi-View Graph Contrastive Learning for Urban Region Representation. Yu Zhang, Yonghui Xu, Lizhen Cui, Zhongmin Yan |
| 2023 | Multi-View User Representation Learning for User Matching Without Personal Information. Hongliu Cao, Ilias El Baamrani, Eoin Thomas |
| 2023 | Multi-agent Knowledge Transfer in a Society of Interpretable Neural Network Minds for Dynamic Context Formation in Swarm Shepherding. Duy Tung Nguyen, Hemant K. Singh, Saber M. Elsayed, Robert A. Hunjet, Hussein A. Abbass |
| 2023 | Multi-channel Attentive Weighting of Visual Frames for Multimodal Video Classification. Yuqing Wang, Zhuang Qi, Xiangxian Li, Jinxing Liu, Xiangxu Meng, Lei Meng |
| 2023 | Multi-contrastive Learning Recommendation Combined with Knowledge Graph. Fei Chen, Zihan Kang, Chenxi Zhang, Chunming Wu |
| 2023 | Multi-dimensional Semantic-based Text Classification Model. Xiaoyan Gongye, Chongxu Hu, Xiaohu Zhang, Shuang Liu |
| 2023 | Multi-granularity Autonomous Intelligent Method for Operation Optimization of Integrated Coal Mine Energy Systems. Yan Wang, Dunwei Gong, Xiaoyan Sun |
| 2023 | Multi-hop Attention GNN with Answer-Evidence Contrastive Loss for Multi-hop QA. Ni Yang, Meng Yang |
| 2023 | Multi-hop Relational Graph Attention Network for Text-to-SQL Parsing. Hu Liu, Yuliang Shi, Jianlin Zhang, Xinjun Wang, Hui Li, Fanyu Kong |
| 2023 | Multi-level Feature Joint Learning Methods for Emotional Speaker Recognition. Zhongliang Zeng, Dongdong Li, Zhe Wang, Hai Yang |
| 2023 | Multi-level Interaction Network for Multi-Modal Rumor Detection. Ting Zou, Zhong Qian, Peifeng Li |
| 2023 | Multi-objective machine training based on Bayesian hyperparameter tuning. Pedro J. Zufiria, Carlos Borrajo, Miguel Taibo |
| 2023 | Multi-output Deep-Supervised Classifier Chains for Plant Pathology. Jianping Yao, Son N. Tran |
| 2023 | Multi-source Multi-label Feature Selection. Xiulan Yuan, Xuegang Hu, Pei-Pei Li |
| 2023 | Multi-task Scheduling with Dependencies in Heterogeneous Edge Arithmetic Networks. Weibang Li, Ling Li |
| 2023 | Multi-view Clustering using Barycentric Coordinate Representation. Xiaotong Qian, Lili Jin, Guénaël Cabanes, Parisa Rastin, Nistor Grozavu |
| 2023 | Multi-view Feature Fusion Based on Self-attention Mechanism for Drug-drug Interaction Prediction. Hui Han, Weiyu Zhang, Xu Sun, Wenpeng Lu |
| 2023 | MultiDrop: A Local Rademacher Complexity-Based Regularization for Multitask Models. Ziqing Lu, Chang Xu, Bo Du |
| 2023 | Multihead Attention-based Audio Image Generation with Cross-Modal Shared Weight Classifier. Yiming Xu |
| 2023 | Multilingual Pre-training Model-Assisted Contrastive Learning Neural Machine Translation. Shuo Sun, Hongxu Hou, Zongheng Yang, Yisong Wang |
| 2023 | Multimodal Chinese Event Extraction on Text and Audio. Xinlang Zhang, Zhongqing Wang, Peifeng Li |
| 2023 | Multimodal Cross-Attention Bayesian Network for Social News Emotion Recognition. Xinzhi Wang, Mengyue Li, Yudong Chang, Xiangfeng Luo, Yige Yao, Zhichao Li |
| 2023 | Multimodal Prediction of Tearing Instabilities in a Tokamak. Jaemin Seo, Rory Conlin, Andrew Rothstein, SangKyeun Kim, Joseph Abbate, Azarakhsh Jalalvand, Egemen Kolemen |
| 2023 | Multimodal Video Emotional Analysis of Time Features Alignment and Information Auxiliary Learning. Yujie Chang, Tianliang Liu, Qinchao Xu, Xinyu Zhao, Xun Xiao, Zhengjie Wang |
| 2023 | Multivariate Time Series Classification via Hierarchical Graph Embedding. Wenhao Niu, Xingrui Zhuo, Gongqing Wu, Junwei Lv, Zan Zhang, Chenyang Bu |
| 2023 | Music Question Answering Based on Aesthetic Experience. Wenhao Gao, Xiaobing Li, Yun Tie, Lin Qi |
| 2023 | Mutually Promoted Hierarchical Learning for Incremental Implicitly-Refined Classification. Guangzhi Zhao, Yuting Hou, Kedian Mu |
| 2023 | N-BEATS neural network structure for sub-critical boiler data-driven modelling. Valentin Formont, Lars Olof Nord |
| 2023 | NSA: Naturalistic Support Artifact to Boost Network Confidence. Abhijith Sharma, Phil Munz, Apurva Narayan |
| 2023 | Natural Language Explanations for Machine Learning Classification Decisions. James Burton, Noura Al Moubayed, Amir Enshaei |
| 2023 | Network Reconfiguration aware Peer-to-Peer Ancillary Energy Trading Under Uncertainties. Hongxu Huang, Mohasha Isuru Sampath Lahanda Purage, Rui Liang |
| 2023 | Neural Architecture Search with Heterogeneous Representation Learning for Zero-Shot Multi-Label Text Classification. Liang Chen, Xueming Yan, Zilong Wang, Han Huang |
| 2023 | Neural Linguistic Steganography with Controllable Security. Tianhe Lu, Gongshen Liu, Ru Zhang, Tianjie Ju |
| 2023 | Neural Network Module Decomposition and Recomposition with Superimposed Masks. Hiroaki Kingetsu, Kenichi Kobayashi, Taiji Suzuki |
| 2023 | Neural Network-based Fast Liver Ultrasound Image Segmentation. Mohammed Yusuf Ansari, Iffa Afsa Changaai Mangalote, Dima Masri, Sarada Prasad Dakua |
| 2023 | Neural Network-based Traffic Matrix Prediction Incorporating Inter-Flow Correlations for Optical Network-on-Chip (ONoC). Jiahe Zhao, Hui Li, Feiyang Liu |
| 2023 | Neural Radiance Fields with Regularizer Based on Differences of Neighboring Pixels. Kohei Fukuda, Takio Kurita, Hiroaki Aizawa |
| 2023 | Neural Text Classification by Jointly Learning to Cluster and Align. Yekun Chai, Haidong Zhang, Qiyue Yin, Junge Zhang |
| 2023 | Neural Time-Invariant Causal Discovery from Time Series Data. Saima Absar, Yongkai Wu, Lu Zhang |
| 2023 | Neural-Network Model for Linear MHD Stability Analysis of Tokamak Edge Pedestals. Chweeho Heo, Boseong Kim, Ohjin Kwon, Yong-Su Na |
| 2023 | NeuralHMM: A Deep Markov Network for Health Risk Prediction using Electronic Health Records. Yuxi Liu, Zhenhao Zhang, Shaowen Qin |
| 2023 | Neuromorphic tuning of feature spaces to overcome the challenge of low-sample high-dimensional data. Qinghua Zhou, Oliver J. Sutton, Yudong Zhang, Alexander N. Gorban, Valeri A. Makarov, Ivan Yu. Tyukin |
| 2023 | Neuron-based Pruning of Deep Neural Networks with Better Generalization using Kronecker Factored Curvature Approximation. Abdolghani Ebrahimi, Diego Klabjan |
| 2023 | NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks. Guangzheng Hu, Haoran Li, Shasha Liu, Yuanheng Zhu, Dongbin Zhao |
| 2023 | New Health of Things Approach to Classification and Detection of Brain Tumors Using Transfer Learning for Segmentation in IMR Images. José Jerovane da Costa Nascimento, Adriell Gomes Marques, Matheus Araujo dos Santos, Lucas de O. Santos, Julio Macedo Chaves, Luís Fabrício de F. Souza, Pedro Pedrosa Rebouças Filho |
| 2023 | Non-Generative Energy Based Models. Jacob Piland, Christopher R. Sweet, Priscila Saboia, Charles F. Vardeman II, Adam Czajka |
| 2023 | Non-Standard Echo State Networks for Video Door State Monitoring. Peter Steiner, Azarakhsh Jalalvand, Peter Birkholz |
| 2023 | Non-exemplar Class-incremental Learning via Dual Augmentation and Dual Distillation. Ke Song, Quan Xia, Zhaoyong Qiu |
| 2023 | Novel Automatic Deep Learning Feature Extractor with Target Class Specific Feature Explanations. Deepthi Praveenlal Kuttichira, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang |
| 2023 | OFA Rafael C. Ito, Fernando J. Von Zuben |
| 2023 | OOA-UADS: Offline, Online, Analysis-an Unsupervised Anomaly Detection Solution for Multivariate Time Series. Jin Fan, Zhanyu Si, Zehao Wang, Danfeng Sun, Jia Wu, Huifeng Wu |
| 2023 | OOD-Robust Boosting Tree for Intrusion Detection Systems. Satoru Koda, Ikuya Morikawa |
| 2023 | OSDet: Towards Open-Set Object Detection. Chao Gao, Jiaran Hao, Ya Guo |
| 2023 | Object Detection of Occlusion Point Cloud based on Transformer. Jing Zhou, Jian Zhou, Teng Xing Lin, Zixin Gong |
| 2023 | Object View Prediction with Aleatoric Uncertainty for Robotic Grasping. Constanze Schwan, Wolfram Schenck |
| 2023 | Occluded Gait Recognition. Yunjie Peng, Chunshui Cao, Zhiqiang He |
| 2023 | Occlusion Robust 3D Human Pose Estimation with StridedPoseGraphFormer and Data Augmentation. Soubarna Banik, Patricia Gschoßmann, Alejandro Mendoza García, Alois Knoll |
| 2023 | Offline Reinforcement Learning with Uncertainty Critic Regularization Based on Density Estimation. Chao Li, Fengge Wu, Junsuo Zhao |
| 2023 | On Fine-Tuned Deep Features for Unsupervised Domain Adaptation. Qian Wang, Fanlin Meng, Toby P. Breckon |
| 2023 | On Hyperdimensional Computing-based Federated Learning: A Case Study. Sizhe Zhang, Dongning Ma, Song Bian, Lei Yang, Xun Jiao |
| 2023 | On a New Type of Neural Computation for Probabilistic Symbolic Reasoning. Ximing Qiao, Hai Li |
| 2023 | On the Ensemble of Collision Perception Neuron Models Towards Ultra-Selectivity. Jiatao Li, Xuelong Sun, Haiyang Li, Jigen Peng, Qinbing Fu |
| 2023 | On the Space of Coefficients of a Feedforward Neural Network. Dinesh Valluri, Rory Campbell |
| 2023 | On the Use of Aggregation Functions for Semi-Supervised Network Embedding. Marcelo Isaias de Moraes, Ricardo Marcondes Marcacini |
| 2023 | On the effectiveness of Randomized Signatures as Reservoir for Learning Rough Dynamics. Enea Monzio Compagnoni, Anna Scampicchio, Luca Biggio, Antonio Orvieto, Thomas Hofmann, Josef Teichmann |
| 2023 | On-line Learning, Classification and Interpretation of Brain Signals using 3D SNN and ESN. Petia D. Koprinkova-Hristova, Dimitar P. Filev, Simona Nedelcheva, Svetlozar Yordanov, Nikola K. Kasabov |
| 2023 | One-step Domain Adaptation Approach with Partial Label. Guohang Zeng, Zhen Fang, Guangquan Zhang, Jie Lu |
| 2023 | Online Automated Machine Learning for Class Imbalanced Data Streams. Zhaoyang Wang, Shuo Wang |
| 2023 | Online Continual Learning for Control of Mobile Robots. Andriy Sarabakha, Qiao ZhongZheng, Savitha Ramasamy, Ponnuthurai Nagaratnam Suganthan |
| 2023 | Online Probabilistic Model Identification Using Adaptive Recursive MCMC. Pedram Agand, Mo Chen, Hamid D. Taghirad |
| 2023 | Online Semi-supervised Pairwise Learning. Majdi Khalid |
| 2023 | Online Trajectory Anomaly Detection Based on Intention Orientation. Chen Wang, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie |
| 2023 | Online ensemble deep random vector functional link for the assistive robots. Ruobin Gao, Sibo Yang, Meng Yuan, Xuefei Song, Ponnuthurai Nagaratnam Suganthan, Wei Tech Ang |
| 2023 | Open-World Lifelong Graph Learning. Marcel Hoffmann, Lukas Galke, Ansgar Scherp |
| 2023 | Optimal Excitatory and Inhibitory Balance for High Learning Performance in Spiking Neural Networks with Long-Tailed Synaptic Weight Distributions. Ibuki Matsumoto, Sou Nobukawa, Tomoki Kurikawa, Nobuhiko Wagatsuma, Yusuke Sakemi, Takashi Kanamaru, Nina Sviridova, Kazuyuki Aihara |
| 2023 | Optimizing Throughput and Latency of Static 5G Multicast Networks using Boltzmann Machines. Vadlamani Madhav, Vivek Saraswat, Udayan Ganguly |
| 2023 | Out-of-Distribution Detection in Deep Learning Models: A Feature Space-Based Approach. Thiago M. Carvalho, Marley M. B. R. Vellasco, José F. M. do Amaral |
| 2023 | Out-of-Scope Intent Detection with Supervised Deep Metric Learning. Youwen Zhang, Xudong Wang, Linlin Wang, Ke Yan, Huan Chen |
| 2023 | PCD2Vec: A Poisson Correction Distance Based Approach for Viral Host Classification. Sarwan Ali, Taslim Murad, Murray Patterson |
| 2023 | PCVAE: A Physics-informed Neural Network for Determining the Symmetry and Geometry of Crystals. Ke Liu, Shangde Gao, Kaifan Yang, Yuqiang Han |
| 2023 | PFED-AGG: A Personalized Private Federated Learning Aggregation Algorithm. Yongjie Zhu, Yukun Yan, Qilong Han |
| 2023 | PGLR: Pseudo Graph and Label Reuse for Entity Relation Extraction. Hanyue Zhang, Li Li, Jun Shen |
| 2023 | PST-Net: Point Cloud Completion Network Based on Local Geometric Feature Reuse and Neighboring Recovery with Taylor Approximation. Yinchu Wang, Haijiang Zhu, Guanghui Wang |
| 2023 | PT3: A Transformer-based Model for Sepsis Death Risk Prediction via Vital Signs Time Series. Ruihong Luo, Minghui Gong, Chunping Li |
| 2023 | Partially-Labeled Domain Generalization via Multi-Dimensional Domain Adaptation. Feiyang Ye, Jianghan Bao, Yu Zhang |
| 2023 | Patch-wise Mixed-Precision Quantization of Vision Transformer. Junrui Xiao, Zhikai Li, Lianwei Yang, Qingyi Gu |
| 2023 | Personalized Federated Learning via Gradient Modulation for Heterogeneous Text Summarization. Rongfeng Pan, Jianzong Wang, Lingwei Kong, Zhangcheng Huang, Jing Xiao |
| 2023 | Personalized Federated Learning with Multi-branch Architecture. Junki Mori, Tomoyuki Yoshiyama, Ryo Furukawa, Isamu Teranishi |
| 2023 | Personalized Outfit Compatibility Prediction Using Outfit Graph Network. Vivek B. S., Gaurab Bhattacharya, Jayavardhana Gubbi, Bagya Lakshmi V, Arpan Pal, P. Balamuralidhar |
| 2023 | Please don't answer out of context: Personalized Dialogue Generation Fusing Persona and Context. Fucheng Wang, Yunfei Yin, Faliang Huang, Kaigui Wu |
| 2023 | PointCMT: An MLP-Transformer Network for Contrastive Learning of Point Representation. Chuyu Wang, Xianfeng Han, Guoqiang Xiao |
| 2023 | PointNorm: Dual Normalization is All You Need for Point Cloud Analysis. Shen Zheng, Jinqian Pan, Changjie Lu, Gaurav Gupta |
| 2023 | Policy Optimization with Augmented Value Targets for Generalization in Reinforcement Learning. Nasik Muhammad Nafi, Giovanni Poggi-Corradini, William H. Hsu |
| 2023 | Potential-based Credit Assignment for Cooperative RL-based Testing of Autonomous Vehicles. Utku Ayvaz, Chih-Hong Cheng, Hao Shen |
| 2023 | Pre-Activation based Representation Learning to Enhance Predictive Analytics on Small Materials Data. Vishu Gupta, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal |
| 2023 | Pre-training A Prompt Pool for Vision-Language Model. Jun Liu, Yang Gu, Zhaohua Yang, Shuai Guo, Huaqiu Liu, Yiqiang Chen |
| 2023 | Predicting Habitable Exoplanets in Different Star-Systems Using Deep Learning Based Anomaly Detection Approach. Yash Patel, Sadhana Tiwari, Sanjay Kumar Sonbhadra, Sonali Agarwal |
| 2023 | Predicting visually-modulated precisely-timed spikes across a coordinated and comprehensive motor program. Usama Bin Sikandar, Hannah Choi, Joy Putney, Hengye Yang, Silvia Ferrari, Simon Sponberg |
| 2023 | Pretrained Parameter Configurator for Large Neighborhood Search to Solve Weighted Constraint Satisfaction Problems. Junsong Gao, Ziyu Chen, Cheng Zhang |
| 2023 | Privacy Inference-Empowered Stealthy Backdoor Attack on Federated Learning under Non-IID Scenarios. Haochen Mei, Gaolei Li, Jun Wu, Longfei Zheng |
| 2023 | Private Data Synthesis from Decentralized Non-IID Data. Muhammad Usama Saleem, Liyue Fan |
| 2023 | Prompt-Learning for Cross-Lingual Relation Extraction. Chiaming Hsu, Changtong Zan, Liang Ding, Longyue Wang, Xiaoting Wang, Weifeng Liu, Fu Lin, Wenbin Hu |
| 2023 | PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks. Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis |
| 2023 | Pros and Cons of Weight Pruning for Out-of-Distribution Detection: An Empirical Survey. Satoru Koda, Alon Zolfi, Edita Grolman, Asaf Shabtai, Ikuya Morikawa, Yuval Elovici |
| 2023 | Prototype based linear sub-manifold learning. Mengling Fan, Fengzhen Tang, Xingang Zhao |
| 2023 | Prototypical Contrastive Learning for Domain Adaptive Semantic Segmentation. Quansheng Liu, Chengdao Pu, Fang Gao, Jun Yu |
| 2023 | Proxy-Aware Cross-Domain Sequential Recommendation. Shitong Xiao, Rui Chen, Qilong Han, Riwei Lai, Hongtao Song, Li Li |
| 2023 | Pruning of Dendritic Neuron Model with Significance Constraints for Classification. Xudong Luo, Long Ye, Xiaolan Liu, Xiaohao Wen, Qin Zhang |
| 2023 | Pseudo Value Network Distillation for High-Performance Exploration. Enmin Zhao, Junliang Xing, Kai Li, Yongxin Kang, Pin Tao |
| 2023 | Q-SAT: Value Factorization with Self-Attention for Deep Multi-Agent Reinforcement Learning. Xunhan Hu, Jian Zhao, Youpeng Zhao, Wengang Zhou, Houqiang Li |
| 2023 | QCA-Net: Quantum-based Channel Attention for Deep Neural Networks. Juntao Zhang, Peng Cheng, Zehan Li, Hao Wu, Wenbo An, Jun Zhou |
| 2023 | QVDDPG: QV Learning with Balanced Constraint in Actor-Critic Framework. Jiao Huang, Jifeng Hu, Luheng Yang, Zhihang Ren, Hechang Chen, Bo Yang |
| 2023 | Quantization Modes for Neural Network Inference: ASIC Implementation Trade-offs. Nathan Bain, Roberto Guizzetti, Emilien Taly, Ali Oudrhiri, Bruno Paille, Pascal Urard, Frédéric Pétrot |
| 2023 | Quantum Convolutional Neural Network Architecture for Multi-Class Classification. Samarth Kashyap, Shayan Srinivasa Garani |
| 2023 | Question Generation via Generative Adversarial Networks. Dong Liu, Yu Hong, Jianmin Yao, Guodong Zhou |
| 2023 | RAN: A Relation-aware Network for Relation Extraction. Yile Li, Xiaoyan Gu, Yinliang Yue, Zhuo Wang, Bo Li, Weiping Wang |
| 2023 | RBPSum: An extractive summarization approach using Bi-Stream Attention and Position Residual Connection. Ziwei Wang, Jun Zeng, Hongjin Tao, Lin Zhong |
| 2023 | RCN:Rules-Constrained Network for Autonomous Driving Scene Recognition. Mingrui Che, Liu Yang, Yuxin Zhang |
| 2023 | RGAT: A Deeper Look into Syntactic Dependency Information for Coreference Resolution. Yuan Meng, Xuhao Pan, Jun Chang, Yue Wang |
| 2023 | RRR-Net: Reusing, Reducing, and Recycling a Deep Backbone Network. Haozhe Sun, Isabelle Guyon, Felix Mohr, Hedi Tabia |
| 2023 | RTOD-YOLO: Traffic Object Detection in UAV Images Based on Visual Attention and Re-parameterization. Xuesen Ma, Weixin Wei, Jindian Dong, Biao Zheng, Ji Ma |
| 2023 | ReGRL: An Informative Graph Representation via Hierarchical Recursive Learning for Legal Case Recommendation. Xueyuan Chen, Xiao Wei, Hang Yu, Xiangfeng Luo |
| 2023 | Real-Time Photonic Deep Reservoir Computing for Speech Recognition. Enrico Picco, Serge Massar |
| 2023 | Real-time Blind Deblurring Based on Lightweight Deep-Wiener-Network. Charlie Haywood, Rabih Younes |
| 2023 | Real-time Night Surveillance Video Retrieval through Calibrated Denoising and Super-resolution. Liming Ge, Wei Bao, Xinyi Sheng, Dong Yuan, Bing Bing Zhou |
| 2023 | Real-world Performance Estimation of Liquid State Machines for Spoken Digit Classification. Abhishek Kadam, Anmol Biswas, Vivek Saraswat, Ajay Kumar Singh, Laxmeesha Somappa, Maryam Shojaei Baghini, Udayan Ganguly |
| 2023 | Recommendation with Dynamic Natural Language Explanations. Xi Li, Jingsen Zhang, Xiaohe Bo, Lei Wang, Xu Chen |
| 2023 | Reducing the Cost of Cycle-Time Tuning for Real-World Policy Optimization. Homayoon Farrahi, A. Rupam Mahmood |
| 2023 | Referenceless User Controllable Semantic Image Synthesis. Jonghyun Kim, Gen Li, Joongkyu Kim |
| 2023 | Reinforcement Learning Framework to Simulate Short-Term Learning Effects of Human Psychophysical Experiments Assessing the Quality of Artificial Vision. Na Min An, Hyeonhee Roh, Sein Kim, Jae Hun Kim, Maesoon Im |
| 2023 | Reinforcement-Learning-Based Deadline Constrained Task Offloading Schema for Energy Saving in Vehicular Edge Computing System. Do Bao Son, Hiep Khac Vo, Ta Huu Binh, Tran Hoang Hai, Binh Minh Nguyen, Huynh Thi Thanh Binh |
| 2023 | Relation-Aware Graph Attention Network for Multi-Behavior Recommendation. Ming Wu, Qiufen Ni, Jigang Wu |
| 2023 | Relaxed Attention for Transformer Models. Timo Lohrenz, Björn Möller, Zhengyang Li, Tim Fingscheidt |
| 2023 | Remote Sensing Image Object Detection by Fusing Multi-Scale Contextual Features and Channel Enhancement. Xuesen Ma, Jindian Dong, Weixin Wei, Biao Zheng, Ji Ma, Tianbao Zhou |
| 2023 | RepEPnP: Weakly Supervised 3D Human Pose Estimation with EPnP Algorithm. Huaijing Lai, Zhenhua Tang, Xiaoyan Zhang |
| 2023 | Repr2Seq: A Data-to-Text Generation Model for Time Series. Yi Li, Yuxuan Gao, Jianyi Cai, Guoxiang Zheng, Hanlin Shi, Xiping Liu |
| 2023 | Representing Latent Dimensions Using Compressed Number Lines. Sahaj Singh Maini, James Mochizuki-Freeman, Chirag Shankar Indi, Brandon G. Jacques, Per B. Sederberg, Marc W. Howard, Zoran Tiganj |
| 2023 | Reputation-Aware Opportunistic Budget Optimization for Auction-based Federation Learning. Xavier Tan, Wei Yang Bryan Lim, Dusit Niyato, Han Yu |
| 2023 | Research on fake news detection method based on multi-level semantic enhancement. Xinyan Yin, Tao Sun, Chunyan Yang, Zihao Zhang, Xiang Zhang, Mengli Su |
| 2023 | Reservoir Computing for Symbol Detection of Optical Wireless Scattering Communications. Haotian Chen, Ryo Natsuaki, Akira Hirose |
| 2023 | Residual Hybrid Attention Network for Single Image Dehazing. Hui Ming Li |
| 2023 | Resilient Remote Heart Rate Measurement from Partially Masked Faces. Xingjie Huang, Jianming Lv |
| 2023 | Rethinking the Trigger-injecting Position in Graph Backdoor Attack. Jing Xu, Gorka Abad, Stjepan Picek |
| 2023 | Retrieval-Based Natural 3D Human Motion Generation. Yuqi Li, Yizhi Luo, Song Wu |
| 2023 | Revealing Causal Graph Structure in Pigeon Flocks Using Attentions in Temporal ConvNet. Jimson Paulo Layacan, Aengus Martin Donaire, Harvey Felipe, Clark Kendrick Go |
| 2023 | Revisiting Data Augmentation in Model Compression: An Empirical and Comprehensive Study. Muzhou Yu, Linfeng Zhang, Kaisheng Ma |
| 2023 | Risk Scenario Generation for Autonomous Driving Systems based on Scenario Evaluation Model. Tong Wang, Xiaohui Kuang, Huan Deng, Taotao Gu, Wei Kong, Jianwen Tian, Gang Zhao |
| 2023 | RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks. Alberto Marchisio, Antonio De Marco, Alessio Colucci, Maurizio Martina, Muhammad Shafique |
| 2023 | Robust Deep Learning Models against Semantic-Preserving Adversarial Attack. Yunce Zhao, Dashan Gao, Yinghua Yao, Zeqi Zhang, Bifei Mao, Xin Yao |
| 2023 | Robust Energy-Water Management System with Prediction Interval Based on Deep Learning. Lucas Rojas, Javier Ocaranza, Oscar Cartagena, Doris Sáez, Linda Daniele, Constanza Ahumada |
| 2023 | Robust Principal Component Analysis via Truncated $L_{1-2}$ Minimization. Ying Huang, Zhi Wang, Qiang Chen, Wu Chen |
| 2023 | Robust Secret Data Hiding for Transformer-based Neural Machine Translation. Tianhe Lu, Gongshen Liu, Ru Zhang, Peixuan Li, Tianjie Ju |
| 2023 | Robustness of Deep Learning Methods for Occluded Object Detection - A Study Introducing a Novel Occlusion Dataset. Ziling Wu, Armaghan Moemeni, Simon Castle-Green, Praminda Caleb-Solly |
| 2023 | RulePG: Syntactic Rule-enhanced Paraphrase Generation. Jian Lan, Mingfeng Xue, Jiancheng Lv |
| 2023 | Rumor Detection Based on Depth and Breadth with Tree-Structured Recursive Neural Networks. Xiang Zhang, Tao Sun, Chunyan Yang, Zihao Zhang, Xinyan Yin, Mengli Su, Zhibang Quan, Jishu Wei |
| 2023 | SAGE: Semantic-Aware Global Explanations for Named Entity Recognition. Andrea Zugarini, Leonardo Rigutini |
| 2023 | SAR-UNet: Small Attention Residual UNet for Explainable Nowcasting Tasks. Mathieu Renault, Siamak Mehrkanoon |
| 2023 | SAR: Self-Supervised Anti-Distortion Representation for End-To-End Speech Model. Jianzong Wang, Xulong Zhang, Haobin Tang, Aolan Sun, Ning Cheng, Jing Xiao |
| 2023 | SATNet: Upgraded LSTM Network For Mining Time Series Correlation Utilizing The Self-Attention Mechanism. Xiangyu Dai, Quan Zou |
| 2023 | SCIRNet: Skeleton-based cattle interaction recognition network with inter-body graph and semantic priority. Yang Yang, Mizuka Komatsu, Kenji Oyama, Takenao Ohkawa |
| 2023 | SCS-VAE: Generate Style Headlines Via Novel Disentanglement. Zhaoqian Zhu, Xiang Lin, Gongshen Liu, Bo Su, Tianhe Lu |
| 2023 | SEA: A Spatially Explicit Architecture for Multi-Agent Reinforcement Learning. Dapeng Li, Zhiwei Xu, Bin Zhang, Guoliang Fan |
| 2023 | SFMNet: Self-guided Feature Mining Network for Vehicle Re-identification. Zhangwei Li, Yuhui Deng, Zhimin Tang, Junhao Huang |
| 2023 | SGDP: A Stream-Graph Neural Network Based Data Prefetcher. Yiyuan Yang, Rongshang Li, Qiquan Shi, Xijun Li, Gang Hu, Xing Li, Mingxuan Yuan |
| 2023 | SGED-Net: A Self-organizing Graph Embedding Deep Network for Travel Time Estimation. Jiankai Zuo, Yaying Zhang |
| 2023 | SILOP: An Automated Framework for Semantic Segmentation Using Image Labels Based on Object Perimeters. Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique |
| 2023 | SLX: Similarity Learning for X-Ray Screening and Robust Automated Disassembled Object Detection. Nikolaos Dionelis, Richard Jackson, Sotirios A. Tsaftaris, Mehrdad Yaghoobi |
| 2023 | SMKD: Selective Mutual Knowledge Distillation. Ziyun Li, Xinshao Wang, Neil M. Robertson, David A. Clifton, Christoph Meinel, Haojin Yang |
| 2023 | SONA: A Bio-Inspired, Self-Organizing Connective Fabric for Neuromorphic Circuits and FPGAs. David Battel, Alice C. Parker |
| 2023 | SQL Synthesis with Input-Output Example Based on Deep Learning. Shun Zhang, Quansheng Dou, Huanling Tang, Hao Pan, Huixian Wang |
| 2023 | SRRM: Semantic Region Relation Model for Indoor Scene Recognition. Chuanxin Song, Xin Ma |
| 2023 | SS-Faster-RCNN: A Domain Adaptation-based Method to Detect Whether People Wear Masks Correctly. Boran Yang, Md. Zakir Hossain, Jessica Sharmin Rahman |
| 2023 | ST-CA YOLOv5: Improved YOLOv5 Based on Swin Transformer and Coordinate Attention for Surface Defect Detection. Wen Yang, Hongjie Wu, Chenwei Tang, Jiancheng Lv |
| 2023 | ST-PINN: A Self-Training Physics-Informed Neural Network for Partial Differential Equations. Junjun Yan, Xinhai Chen, Zhichao Wang, Enqiang Zhou, Jie Liu |
| 2023 | SWTA: Sparse Weighted Temporal Attention for Drone-Based Activity Recognition. Santosh Kumar Yadav, Esha Pahwa, Achleshwar Luthra, Kamlesh Tiwari, Hari Mohan Pandey |
| 2023 | Scene Understanding for Autonomous Driving Using Visual Question Answering. Adrien Wantiez, Tianming Qiu, Stefan Matthes, Hao Shen |
| 2023 | Schatten p-norm based Image-to-Video Adaptation for Video Action Recognition. Sharana Dharshikgan Suresh Dass, Ganesh Krishnasamy, Raveendran Paramesran, Raphaël C.-W. Phan |
| 2023 | Schema Item Matters in Knowledge Base Question Answering. Zhe Wen, Qingyi Si, Zheng Lin, Huan Liu, Peng Fu, Weiping Wang |
| 2023 | SegQNAS: Quantum-inspired Neural Architecture Search applied to Medical Image Semantic Segmentation. Guilherme Carlos, Karla Figueiredo, Abir Hussain, Marley M. B. R. Vellasco |
| 2023 | Segformer: Segment-Based Transformer with Decomposition for Long-Term Series Forecasting. Jinhua Chen, Jin Fan, Zhen Liu, Jiaqian Xiang, Jia Wu |
| 2023 | Selective Memory Replay Improves Exploration in a Spiking Wavefront Planner. Harrison Espino, Robert Bain, Jeffrey L. Krichmar |
| 2023 | Self-Explaining Neural Networks for Respiratory Sound Classification with Scale-free Interpretability. Zhao Ren, Thanh Tam Nguyen, Mohammad Mehdi Zahedi, Wolfgang Nejdl |
| 2023 | Self-Supervised Adversarial Imitation Learning. Juarez Monteiro, Nathan Gavenski, Felipe Meneguzzi, Rodrigo C. Barros |
| 2023 | Self-Supervised Mental Disorder Classifiers via Time Reversal. Zafar Iqbal, Usman Mahmood, Zening Fu, Sergey M. Plis |
| 2023 | Self-Supervised Signed Graph Attention Network for Social Recommendation. Qin Zhao, Gang Liu, Fuli Yang, Ru Yang, Zuliang Kou, Dong Wang |
| 2023 | Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data. Enric Moreu, Eric Arazo, Kevin McGuinness, Noel E. O'Connor |
| 2023 | Self-Supervision and Weak Supervision for Accurate and Interpretable Chest X-Ray Classification Models. Abhiroop Talasila, Akshaya Karthikeyan, Shanmukh Alle, Maitreya Maity, U. Deva Priyakumar |
| 2023 | Self-Training and Modular Approaches for Surgical Image Recognition. Nosseiba Ben Salem, Younès Bennani, Joseph Karkazan, Abir Barbara, Charles Dacheux, Thomas Gregory |
| 2023 | Self-adaptive Prompt-tuning for Event Extraction in Ancient Chinese Literature. Jingyi Zhang, Yuting Wei, Yangfu Zhu, Bin Wu |
| 2023 | Self-calibrated U-Net for Document Segmentation. Iago Richard Rodrigues, Leylane Graziele Ferreira da Silva, David L. Macêdo, Cleber Zanchettin, Patricia Takako Endo, Djamel Fawzi Hadj Sadok |
| 2023 | Self-supervised Bidirectional Prompt Tuning for Entity-enhanced Pre-trained Language Model. Jiaxin Zou, Xianghong Xu, Jiawei Hou, Qiang Yan, Hai-Tao Zheng |
| 2023 | Semantic Object Alignment and Region-Aware Learning for Change Captioning. Weidong Tian, Quan Ren, Zhongqiu Zhao, Ruihua Tian |
| 2023 | Semantic-Aware Mixup for Domain Generalization. Chengchao Xu, Xinmei Tian |
| 2023 | Semantic-Reconstructed Graph Transformer Network for Event Detection. Zhuochun Miao, Xingrui Zhuo, Gongqing Wu, Chenyang Bu |
| 2023 | Semantics-guided hierarchical feature encoding generative adversarial network for natural image reconstruction from brain activities. Lu Meng, Chuanhao Yang |
| 2023 | Semi-Supervised Generalized Source-Free Domain Adaptation (SSG-SFDA). Jiayu An, Changming Zhao, Dongrui Wu |
| 2023 | Semi-supervised Campus Network Intrusion Detection Based on Knowledge Distillation. Junjun Chen, Qiang Guo, Zhongnan Fu, Qun Shang, Hao Ma, Nai Wang |
| 2023 | Semi-supervised GAN with sparse ground truth as Boundary Conditions. Matthieu Dabrowski, José Mennesson, Jérôme C. Riedi, Chaabane Djeraba |
| 2023 | Semi-supervised Multi-Label Learning with Missing Labels via Correlation Information. Zexian Xie, Peipei Li, Jinling Jiang, Xindong Wu |
| 2023 | Semi-supervised Short Text Classification Based On Dual-channel Data Augmentation. Jiajun Li, Pei-Pei Li, Xuegang Hu |
| 2023 | Sequential Recommendation with Latent Relation Information. Jiongmin Zhang, Ao liu, Xing Yang, Ying Qian |
| 2023 | SigD: A Cross-Session Dataset for PPG-based User Authentication in Different Demographic Groups. Lin Li, Chao Chen, Lei Pan, Jun Zhang, Yang Xiang |
| 2023 | Simultaneous neuromorphic selection of multiple salient objects for event vision. Amélie Gruel, Jean Martinet, Michele Magno |
| 2023 | Single-Lead to Multi-Lead Electrocardiogram Reconstruction Using a Modified Attention U-Net Framework. Akshit Garg, Vijay Vignesh Venkataramani, U. Deva Priyakumar |
| 2023 | Snapshot Spectral Clustering - a costless approach to deep clustering ensembles generation. Adam Piróg, Halina Kwasnicka |
| 2023 | Snippet-level Supervised Contrastive Learning-based Transformer for Temporal Action Detection. Ronghai Xu, Changhong Liu, Yong Chen, Zhenchun Lei |
| 2023 | Solving Continual Learning with Noisy Labels by Sample Selection and Replay. Yiwei Luo, Min Jiang |
| 2023 | Solving Math Word Problems Following Logically Consistent Template. Zeyu Huang, Xiaofeng Zhang, Jun Bai, Wenge Rong, Yuanxin Ouyang, Zhang Xiong |
| 2023 | SpA-Former:An Effective and lightweight Transformer for image shadow removal. Xiaofeng Zhang, Yudi Zhao, Chaochen Gu, Changsheng Lu, Shanying Zhu |
| 2023 | SparGE: Sparse Coding-based Patient Similarity Learning via Low-rank Constraints and Graph Embedding. Yingjie Liu, Xian Wei, See-Kiong Ng, Tongtong Zhang, Mingsong Chen, Xuan Tang |
| 2023 | Sparse Gate for Differentiable Architecture Search. Liang Fan, Handing Wang |
| 2023 | Sparsely-gated Mixture-of-Expert Layers for CNN Interpretability. Svetlana Pavlitska, Christian Hubschneider, Lukas Struppek, J. Marius Zöllner |
| 2023 | Spatial-Temporal Constraint Learning for Cross-Subject EEG-Based Emotion Recognition. Wei Li, Bowen Hou, Shitong Shao, Wei Huan, Ye Tian |
| 2023 | Spatially Exclusive Pasting: A General Data Augmentation for the Polyp Segmentation. Lei Zhou |
| 2023 | Spatio-Temporal Pre-Training Enhanced Fast Pure Tansformer Network for Traffic Flow Forecasting. Junhao Zhang, Junjie Tang, Juncheng Jin, Zehui Qu |
| 2023 | Spatio-temporal Analysis of Dashboard Camera Videos for Time-To-Accident Forecasting. Taif Anjum, Daya Kumar, Apurva Narayan |
| 2023 | Specialty may be better: A decoupling multi-modal fusion network for Audio-visual event localization. Jinqiao Dou, Xi Chen, Yuehai Wang |
| 2023 | Spectral Batch Normalization: Normalization in the Frequency Domain. Rinor Cakaj, Jens Mehnert, Bin Yang |
| 2023 | Speech Emotion Recognition Using Dual Global Context Attention and Time-Frequency Features. Peng Zhang, Xuheng Bai, Jing Zhao, Yan Liang, Fuqiang Wang, Xiaoming Wu |
| 2023 | Spikemoid: Updated Spike-based Loss Methods for Classification. Michael Jurado, Audrey Dunn, Samuel A. Shapero |
| 2023 | Stability and Limit Cycles of Fuzzy Inferences in a Recurrent Petri-like Neural Network. Lidia Ghosh, Dipanjan Konar, Amit Konar, Atulya K. Nagar |
| 2023 | Stacked Attention-based Networks for Accurate and Interpretable Health Risk Prediction. Yuxi Liu, Zhenhao Zhang, Campbell Thompson, Richard Leibbrandt, Shaowen Qin, Antonio Jimeno-Yepes |
| 2023 | Staged Depthwise Correlation and Feature Fusion for Siamese Object Tracking. Dianbo Ma, Jianqiang Xiao, Ziyan Gao, Satoshi Yamane |
| 2023 | Strip-Cutmix for Person Re-Identification. Yuxiang Sun, Ke Qi, Yicong Zhou, Yutao Qi |
| 2023 | Subgraph-Oriented Heterogeneous Drug-Target Interaction Identification. Xiaofeng Zhang, Zeyu Huang, Jun Bai, Wenge Rong, Yuanxin Ouyang, Zhang Xiong |
| 2023 | Swarm Behavior Recognition: Martingales Protected Paradigm. Zepu Xi, Hongbo Chen, Xiaoqian Chen, Wen Yao |
| 2023 | SwatchNet: Small Components Aware Attention for Fashion Product Recoloring. Gaurab Bhattacharya, Gaurav Sharma, Kuruvilla Abraham, Nikhil Kilari, Jayavardhana Gubbi, Bagya Lakshmi V, P. Balamuralidhar, Arpan Pal |
| 2023 | SweetCoat-2D: Two-Dimensional Bangla Spelling Correction and Suggestion Using Levenshtein Edit Distance and String Matching Algorithm. Md. Mahadi Hasan, David Dew Mallick, Towhid Khan, Md. Mustakin Alam, Md. Humaion Kabir Mehedi, Annajiat Alim Rasel |
| 2023 | SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers. Alberto Marchisio, Davide Dura, Maurizio Capra, Maurizio Martina, Guido Masera, Muhammad Shafique |
| 2023 | SwinVI:3D Swin Transformer Model with U-net for Video Inpainting. Wei Zhang, Yang Cao, Junhai Zhai |
| 2023 | Symbol Detection for Polarization Shift Keying Based on Quaternion Neural Networks. Haotian Chen, Ryo Natsuaki, Akira Hirose |
| 2023 | SynC: A Dense Retrieval Method based on Syntactical Contrastive Learning. Hongjin Tao, Jun Zeng, Yang Yu, Ziwei Wang, Xiaolin Hu |
| 2023 | Synaptic Stripping: How Pruning Can Bring Dead Neurons Back to Life. Tim Whitaker, Darrell Whitley |
| 2023 | T3S: Improving Multi-Task Reinforcement Learning with Task-Specific Feature Selector and Scheduler. YuanQiang Yu, Tianpei Yang, Yongliang Lv, Yan Zheng, Jianye Hao |
| 2023 | TADS: Temporal Autoencoder Dynamic Series Framework for Unsupervised Anomaly Detection. Zhengyu Li, Desheng Zheng, Lintao Li, Peilei He, Ruibao Liu, Xingyu Qian, Shan Yang |
| 2023 | TC-GAT: Graph Attention Network for Temporal Causality Discovery. Xiaosong Yuan, Ke Chen, Wanli Zuo, Yijia Zhang |
| 2023 | TEH-GCN: Topic-Event Based Hierarchical Graph Convolutional Networks for Rumor Detection. Zhengliang Luo, Peifeng Li, Zhong Qian, Xiaoxu Zhu |
| 2023 | TEMI-MOT: Towards Efficient Multi-Modality Instance-Aware Feature Learning for 3D Multi-Object Tracking. Yufeng Hu, Sanping Zhou, Jinpeng Dong, Nanning Zheng |
| 2023 | TETRAA - Trained and Selective Transmutation of Encoder-based Adversarial Attack. Sarthak Malik, Himanshi Charotia, Gaurav Dhama |
| 2023 | TIDE: Affective Time-aware Representations for Fine-grained Depression Identification on Social Media. Zhuanzhuan Liu, Xing Ma, Peng Zhang, Chuzhan Hao, Shuo Zhang, Lin Wang |
| 2023 | TLMIX: Twin Leader Mixing Network for Cooperative Multi-Agent Reinforcement Learning. Yu Zhang, Pengyu Gao, Zhe Wu, Yusheng Jiang, Junliang Xing, Pin Tao |
| 2023 | TRMER: Transformer-Based End to End Printed Mathematical Expression Recognition. Zhaokun Zhou, Shuaijian Ji, Yuqing Wang, Zhenyu Weng, Yuesheng Zhu |
| 2023 | Temporal Inconsistency-Based Intrinsic Reward for Multi-Agent Reinforcement Learning. Shaoqi Sun, Kele Xu |
| 2023 | Temporal Spatial Decomposition and Fusion Network for Time Series Forecasting. Liwang Zhou, Jing Gao |
| 2023 | TextGCL: Graph Contrastive Learning for Transductive Text Classification. Yawei Zhao, Xiaoyang Song |
| 2023 | The Application of Generating API Call Sequence Code for Android Driven by Neural Network. Jingbo Yang, Wenjun Wu, Jian Ren |
| 2023 | The Backpropagation algorithm for a math student. Saeed Damadi, Golnaz Moharrer, Mostafa Cham, Jinglai Shen |
| 2023 | The Effect of System Timescale on Virtual Node Connectivity within Delay-Feedback Reservoirs. Alexander C. McDonnell, Martin A. Trefzer |
| 2023 | The Effect of Training Data Quantity on Monte Carlo Dropout Uncertainty Quantification in Deep Learning. Harrison Cusack, Alina Bialkowski |
| 2023 | The Exploration of Knowledge-Preserving Prompts for Document Summarisation. Chen Chen, Wei Emma Zhang, Alireza Seyed Shakeri, Makhmoor Fiza |
| 2023 | The Generalizability of Explanations. Hanxiao Tan |
| 2023 | The Low-rank Double-scale Convolutional Neural Network for Parameter Identification of DC Bus Capacitor in Smart Transformer. Xiaohui Li, Zhongkui Zhu, Liqun He, Yu-e Sun, Yu Chen |
| 2023 | The Third Common Interface for Graph Neural Networks. Yuta Yajima, Jun Kato, Akihiro Inokuchi |
| 2023 | Thermal Gait Dataset for Deep Learning-Oriented Gait Recognition. Fatma Youssef, Ahmed El-Mahdy, Tetsuji Ogawa, Walid Gomaa |
| 2023 | Thermal Noise Removal of Magnetic Resonance Images: A Deep Learning Approach Based on an Attentive Residue Multi-Dilated Network with Adaptive Filtering and Discrete Cosine Transform. Bowen Jiang, Tao Yue, Xuemei Hu |
| 2023 | TieFake: Title-Text Similarity and Emotion-Aware Fake News Detection. Quanjiang Guo, Zhao Kang, Ling Tian, Zhouguo Chen |
| 2023 | Time Series Adaptation Network for Sensor-Based Cross Domain Human Activity Recognition. Shijie Wen, Yiqiang Chen, Yuan Ma, Shuai Guo, Yang Gu, Xin Qin, Piu Chan |
| 2023 | Time Series Enhanced Graph Neural Networks for Session-based Recommendation. Xiaobing Li, Yan Tang |
| 2023 | Time series prediction and anomaly detection with recurrent spiking neural networks. Yann Cherdo, Benoît Miramond, Alain Pegatoquet |
| 2023 | Time-domain Fading Channel Prediction Based on Spin-wave Reservoir Computing. Jiaxuan Chen, Haotian Chen, Ryosho Nakane, Gouhei Tanaka, Akira Hirose |
| 2023 | Time-multiplexed Reservoir Computing with Percolating Networks of Nanoparticles. Joshua B. Mallinson, Simon A. Brown |
| 2023 | Time-series Anonymization of Tabular Health Data using Generative Adversarial Network. Atiye Sadat Hashemi, Kobra Etminani, Amira Soliman, Omar Hamed, Jens Lundström |
| 2023 | TinyReptile: TinyML with Federated Meta-Learning. Haoyu Ren, Darko Anicic, Thomas A. Runkler |
| 2023 | To Whom are You Talking? A Deep Learning Model to Endow Social Robots with Addressee Estimation Skills. Carlo Mazzola, Marta Romeo, Francesco Rea, Alessandra Sciutti, Angelo Cangelosi |
| 2023 | Tolerating Device-to-Device Variation for Memristive Crossbar-Based Neuromorphic Computing Systems: A New Bayesian Perspective. Yang Xiao, Qi Xu, Bo Yuan |
| 2023 | Topic-Aware Modeling for Unsupervised Extractive Summarization. Zhihao Fan, Huiyong Li, Shasha Mo, Jianwei Niu |
| 2023 | Toward industrial use of continual learning: new metrics proposal for class incremental learning. Mohamed Abbas Konaté, Anne-Françoise Yao, Thierry Chateau, Pierre Bouges |
| 2023 | Towards Better Word Importance Ranking in Textual Adversarial Attacks. Jiahui Shi, Linjing Li, Daniel Dajun Zeng |
| 2023 | Towards Efficient Knowledge Reuse for Open-ended Learning in Real Robots through Motivation. Alejandro Romero, Francisco Bellas, José Antonio Becerra, Richard J. Duro |
| 2023 | Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models. Yingchun Wang, Jingcai Guo, Jie Zhang, Song Guo, Weizhan Zhang, Qinghua Zheng |
| 2023 | Towards Few-shot Image Captioning with Cycle-based Compositional Semantic Enhancement Framework. Peng Zhang, Yang Bai, Jie Su, Yan Huang, Yang Long |
| 2023 | Towards Inference of Original Graph Data Information from Graph Embeddings. Xinyang Li, Xinyu Lei, Yantao Li, Huafeng Qin, Yiwen Hu |
| 2023 | Towards Multi-User Activity Recognition through Facilitated Training Data and Deep Learning for Human-Robot Collaboration Applications. Francesco Semeraro, Jon Carberry, Angelo Cangelosi |
| 2023 | Towards Robustness of Few-Shot Text Classifiers. Rohit Raj, V. Susheela Devi |
| 2023 | Towards Sharper Risk Bounds for Agnostic Multi-objective Learning. Bojian Wei, Jian Li, Weiping Wang |
| 2023 | Towards Spatio-temporal Collaborative Learning: An End-to-End Deepfake Video Detection Framework. Wenxuan Guo, Shuo Du, Huiyuan Deng, Zikang Yu, Lin Feng |
| 2023 | Towards Understanding the Link Between Modularity and Performance in Neural Networks for Reinforcement Learning. Humphrey Munn, Marcus Gallagher |
| 2023 | Towards infrared human pose estimation via Transformer. Zhilei Zhu, Wanli Dong, Xiaoming Gao, Anjie Peng |
| 2023 | Training Physics- Informed Neural Networks via Multi-Task Optimization for Traffic Density Prediction. Bo Wang, A. K. Qin, Sajjad Shafiei, Hussein Dia, Adriana Simona Mihaita, Hanna Grzybowska |
| 2023 | TransD-based Multi-hop Meta Learning for Few-shot Knowledge Graph Completion. Jindi Li, Kui Yu, Yuling Li, Yuhong Zhang |
| 2023 | TransGNN: A Transductive Graph Neural Network with Graph Dynamic Embedding. Leandro Anghinoni, Yu-tao Zhu, Donghong Ji, Liang Zhao |
| 2023 | Transfer Learning with Graph Attention Networks for Team Recommendation. Sagar Kaw, Ziad Kobti, Kalyani Selvarajah |
| 2023 | Transformed-*: A domain-incremental lifelong learning scenario generation framework. Dominik Zurek, Roberto Corizzo, Michal Karwatowski, Marcin Pietron, Kamil Faber |
| 2023 | Transformer-Based Multi-Source Domain Adaptation Without Source Data. Gang Li, Chao Wu |
| 2023 | Triple Consistency-based Self-ensembling Model for Unsupervised Domain Adaption in Medical Image Segmentation. Andrew Shi, Wei Feng |
| 2023 | Triplet-contrastive Periodical Siamese Graph Networks for Travel Time Estimation. Alfateh M. Tag Elsir, Alkilane Khaled, Yanming Shen |
| 2023 | Two Kinds of Adaptation Model for General Perceptual Dynamics in Binocular Rivalry. Hirotsugu Goto, Tomokazu Urakawa, Keisuke Shioya, Osamu Araki |
| 2023 | Two-Stream Heterogeneous Graph Network with Dynamic Interactive Learning for Video Question Answering. Min Peng, Xiaohu Shao, Yu Shi, Xiangdong Zhou |
| 2023 | Two-stage Neural Architecture Optimization with Separated Training and Search. Longze He, Boyu Hou, Junwei Dong, Liang Feng |
| 2023 | Two-way Cross-domain Recommendation with Central Social Influence. Shuyi Zhang, Jing Li, Jun Chang, Mingfeng Wang, Kai Zhu |
| 2023 | UFO: Unified Fact Obtaining for Commonsense Question Answering. Zhifeng Li, Bowei Zou, Yifan Fan, Yu Hong |
| 2023 | UGTransformer: Unsupervised Graph Transformer Representation Learning. Lixiang Xu, Haifeng Liu, Qingzhe Cui, Bin Luo, Ning Li, Yan Chen, Yuanyan Tang |
| 2023 | UMLP-IFOCS: Using Multi-Layer Perceptron for Intelligent Field Oriented Control System. Yingjie Long, Yingbiao Hu, Leyi Zhang, Huinian Li |
| 2023 | Uncertainty Aware Deep Learning for Fault Prediction Using Multivariate Time Series Signals. Md Monibor Rahman, Lasitha Vidyaratne, Adam Carpenter, Chris Tennant, Khan M. Iftekharuddin |
| 2023 | Uncertainty-Aware Data Augmentation for Offline Reinforcement Learning. Yunjie Su, Yilun Kong, Xueqian Wang |
| 2023 | Underexplored Subspace Mining for Sparse-Reward Cooperative Multi-Agent Reinforcement Learning. Yang Yu, Qiyue Yin, Junge Zhang, Hao Chen, Kaiqi Huang |
| 2023 | Understanding Depth Map Progressively: Adaptive Distance Interval Separation for Monocular 3d Object Detection. Xianhui Cheng, Shoumeng Qiu, Zhikang Zou, Jian Pu, Xiangyang Xue |
| 2023 | Underwater Image Enhancement with Phase Transfer and Attention. Md Raqib Khan, Ashutosh Kulkarni, Shruti S. Phutke, Subrahmanyam Murala |
| 2023 | Unified Named Entity Recognition as Multi-Label Sequence Generation. Jindian Su, Hong Yu |
| 2023 | Universal Recurrent Event Memories for Streaming Data. Ran Dou, José C. Príncipe |
| 2023 | Unmasking the Imposters: Task-specific feature learning for face presentation attack detection. Faseela Abdullakutty, Eyad Elyan, Pamela Johnston |
| 2023 | Unsupervised Arabic Speech Embedding Model for Speaker Identification. Noora Al Roken, Abir Hussain, Ismail Shahin, Ayad Turky, Bilal Muhammed Khan, Wasiq Khan |
| 2023 | Unsupervised Feature Vector Clustering Using Temporally Coded Spiking Networks. Peter G. Stratton, Tara J. Hamilton, Andrew Wabnitz |
| 2023 | Unsupervised Product Title Optimization Based on Search Behavior Knowledge in E-commerce. Shu Liu, Zhiqiang Ye, Jian Liao, Jinxin Wu, Zhao Li |
| 2023 | User Recognition of Devices on the Internet based on Heterogeneous Graph Transformer with Partial Labels. Yimo Ren, Jinfa Wang, Hong Li, Hongsong Zhu, Limin Sun |
| 2023 | Using Connectome Features to Constrain Echo State Networks. Jacob Morra, Mark Daley |
| 2023 | Using Feature Selection from XGBoost to Predict MIC Values with Neural Networks. Cory Kromer-Edwards, Mariana Castanheira, Suely Oliveira |
| 2023 | VDCL: A supervised text classification method based on virtual adversarial and contrast learning. Ximeng Dou, Jing Zhao, Ming Li |
| 2023 | Variance Tolerance Factors For Interpreting All Neural Networks. Sichao Li, Amanda S. Barnard |
| 2023 | Variational Disentangled Attention and Regularization for Visual Dialog. Jen-Tzung Chien, Hsiu-Wei Tien |
| 2023 | Variational Skill Embeddings for Meta Reinforcement Learning. Jen-Tzung Chien, Weiwei Lai |
| 2023 | Vax-Culture: A Dataset for Studying Vaccine Discourse on Twitter. Mohammad Reza Zarei, Michael Christensen, Sarah Everts, Majid Komeili |
| 2023 | Verbalizer or Classifier? A New Prompt Learning Model for Event Causality Identification. Weiwei Zhang, Linmei Hu, Yuting Wei, Bin Wu |
| 2023 | Verification-friendly Networks: the Case for Parametric ReLUs. Francesco Leofante, Patrick Henriksen, Alessio Lomuscio |
| 2023 | Video-based Driver Action Recognition via Spatial-Temporal and Motion Deep Learning. Fangzhi Ma, Guanyu Xing, Yanli Liu |
| 2023 | Video-based Red Panda Individual Identification by Adaptively Aggregating Discriminative Features. Lei Li, Mengnan He, Pengcheng Wu, Peng Liu, Ke Huang, Fan Pan, Peng Chen, Qijun Zhao |
| 2023 | Vision Graph Convolutional Network for Writer-Independent Offline Signature Verification. Chengkai Ren, Jian Zhang, Hongwei Wang, Shuguang Shen |
| 2023 | Visual Explanation for Cooperative Behavior in Multi-Agent Reinforcement Learning. Hidenori Itaya, Tom Sagawa, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2023 | Visual and Linguistic Double Transformer Fusion Model for Multimodal Tweet Classification. Jinyan Zhou, Xingang Wang, Ning Liu, Xiaoyu Liu, Jiandong Lv, Xiaomin Li, Hong Zhang, Rui Cao |
| 2023 | Visually Analysing the Fairness of Clustered Federated Learning with Non-IID Data. Li Huang, Weiwei Cui, Bin B. Zhu, Haidong Zhang |
| 2023 | Wavelet Dual-Stream Network for Brain MR Image Super-Resolution. Wanliang Wang, Fangsen Xing, Jiacheng Chen, Qiu Guan |
| 2023 | Weight Compander: A Simple Weight Reparameterization for Regularization. Rinor Cakaj, Jens Mehnert, Bin Yang |
| 2023 | Weighted Kernel Ridge Regression based Randomized Network for Alzheimer's Disease Diagnosis using Susceptibility Weighted Images. Muhammad Tanveer, Shradha Verma, Rahul Sharma, Tripti Goel, Ponnuthurai N. Suganthan |
| 2023 | Weighted Keywords-Guided feature Extraction and Reasoning Network for Visual Grounding. Guangqi Zhu, Jian Xu, Xingxian Liu, Yunling Feng, Yajing Xu |
| 2023 | Weighted Spatial Pooling Preprocessing for Rank- ($L, L, 1,1$) BTD with Orthonormality: Application to Multi-Subject fMRI Data. Li-Dan Kuang, Hao-Peng Zhang, Jianming Zhang |
| 2023 | What Causes a Driver's Attention Shift? A Driver's Attention-Guided Driving Event Recognition Model. Pengcheng Du, Tao Deng, Fei Yan |
| 2023 | Who Are the Money Launderers? Money Laundering Detection on Blockchain via Mutual Learning-Based Graph Neural Network. Lei Yu, Fengjun Zhang, Jiajia Ma, Li Yang, Yuanzhe Yang, Wei Jia |
| 2023 | WokeGPT: Improving Counterspeech Generation Against Online Hate Speech by Intelligently Augmenting Datasets Using a Novel Metric. Sadaf Md. Halim, Saquib Irtiza, Yibo Hu, Latifur Khan, Bhavani Thuraisingham |
| 2023 | Worldwide COVID-19 Topic Knowledge Graph Analysis From Social Media. Yuchen Zhang, Yifan Wang, Hao Fan, Jing Li, Jia Wu |
| 2023 | X-MLP: A Patch Embedding-Free MLP Architecture for Vision. Xinyue Wang, Zhicheng Cai, Chenglei Peng |
| 2023 | Zero-Knowledge Attack for Replicating Protected Deep Neural Networks. Itay Mosafi, Eli David, Nathan S. Netanyahu |
| 2023 | Zero-Shot Chinese Character Recognition with Stroke- and Radical-Level Decompositions. Jinshan Zeng, Ruiying Xu, Yu Wu, Hongwei Li, Jiaxing Lu |
| 2023 | Zero-Shot Text Classification with Semantically Extended Textual Entailment. Tengfei Liu, Yongli Hu, Puman Chen, Yanfeng Sun, Baocai Yin |
| 2023 | Zero-shot Adaptive Low Light Enhancement with Retinex Decomposition and Hybrid Curve Estimation. Yuping Xia, Fanjiang Xu, Quan Zheng |
| 2023 | cAPTured: Neural Reflex Arc-Inspired Fuzzy Continual Learning for Capturing in Silico Aptamer-Target Protein Interactions. Aviral Chharia, Runjhun Saran, Apurva Narayan |
| 2023 | pGBF: Personalized Gradient Boosting Forest. Batnyam Enkhtaivan, Isamu Teranishi |