| 2021 | A Causal Approach for Unfair Edge Prioritization and Discrimination Removal. Pavan Ravishankar, Pranshu Malviya, Balaraman Ravindran |
| 2021 | A Mutual Information Regularization for Adversarial Training. Modeste Atsague, Olukorede Fakorede, Jin Tian |
| 2021 | A Partial Label Metric Learning Algorithm for Class Imbalanced Data. Wenpeng Liu, Li Wang, Jie Chen, Yu Zhou, Ruirui Zheng, Jianjun He |
| 2021 | A Two-Stage Training Framework with Feature-Label Matching Mechanism for Learning from Label Proportions. Haoran Yang, Wanjing Zhang, Wai Lam |
| 2021 | ASD-Conv: Monocular 3D object detection network based on Asymmetrical Segmentation Depth-aware Convolution. Xingyuan Yu, Neng Du, Ge Gao, Fan Wen |
| 2021 | An Aligned Subgraph Kernel Based on Discrete-Time Quantum Walk. Kai Liu, Lulu Wang, Yi Zhang |
| 2021 | An Optimistic Acceleration of AMSGrad for Nonconvex Optimization. Jun-Kun Wang, Xiaoyun Li, Belhal Karimi, Ping Li |
| 2021 | An online semi-definite programming with a generalised log-determinant regularizer and its applications. Yaxiong Liu, Ken-ichiro Moridomi, Kohei Hatano, Eiji Takimoto |
| 2021 | Asian Conference on Machine Learning, ACML 2021, 17-19 November 2021, Virtual Event. Vineeth N. Balasubramanian, Ivor W. Tsang |
| 2021 | Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types. Benjamin Christoffersen, Mark Clements, Keith Humphreys, Hedvig Kjellström |
| 2021 | Augmenting Imbalanced Time-series Data via Adversarial Perturbation in Latent Space. Beomsoo Kim, Jang-Ho Choi, Jaegul Choo |
| 2021 | BRAC+: Improved Behavior Regularized Actor Critic for Offline Reinforcement Learning. Chi Zhang, Sanmukh R. Kuppannagari, Viktor K. Prasanna |
| 2021 | Bayesian Inference for Optimal Transport with Stochastic Cost. Anton Mallasto, Markus Heinonen, Samuel Kaski |
| 2021 | Bayesian Latent Factor Model for Higher-order Data. Zerui Tao, Xuyang Zhao, Toshihisa Tanaka, Qibin Zhao |
| 2021 | Bayesian neural network unit priors and generalized Weibull-tail property. Mariia Vladimirova, Julyan Arbel, Stéphane Girard |
| 2021 | Bayesian nonparametric model for arbitrary cubic partitioning. Masahiro Nakano, Yasuhiro Fujiwara, Akisato Kimura, Takeshi Yamada, Naonori Ueda |
| 2021 | Beyond L Hadi Abdullah, Muhammad Sajidur Rahman, Christian Peeters, Cassidy Gibson, Washington Garcia, Vincent Bindschaedler, Thomas Shrimpton, Patrick Traynor |
| 2021 | Bias-tolerant Fair Classification. Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen |
| 2021 | Bridging Code-Text Representation Gap using Explanation. Hojae Han, Youngwon Lee, Minsoo Kim, Seung-won Hwang |
| 2021 | Building Decision Tree for Imbalanced Classification via Deep Reinforcement Learning. Guixuan Wen, Kaigui Wu |
| 2021 | CTAB-GAN: Effective Table Data Synthesizing. Zilong Zhao, Aditya Kunar, Robert Birke, Lydia Y. Chen |
| 2021 | CTS2: Time Series Smoothing with Constrained Reinforcement Learning. Yongshuai Liu, Xin Liu |
| 2021 | Cautious Actor-Critic. Lingwei Zhu, Toshinori Kitamura, Takamitsu Matsubara |
| 2021 | Collaborative Novelty Detection for Distributed Data by a Probabilistic Method. Akira Imakura, Xiucai Ye, Tetsuya Sakurai |
| 2021 | Contrastive Neural Processes for Self-Supervised Learning. Konstantinos Kallidromitis, Denis A. Gudovskiy, Kazuki Kozuka, Ohama Iku, Luca Rigazio |
| 2021 | ContriQ: Ally-Focused Cooperation and Enemy-Concentrated Confrontation in Multi-Agent Reinforcement Learning. Chenran Zhao, Dianxi Shi, Yaowen Zhang, Huanhuan Yang, Shaowu Yang, Yongjun Zhang |
| 2021 | Convolutional Hypercomplex Embeddings for Link Prediction. Caglar Demir, Diego Moussallem, Stefan Heindorf, Axel-Cyrille Ngonga Ngomo |
| 2021 | Cross-structural Factor-topic Model: Document Analysis with Sophisticated Covariates. Chien Lu, Jaakko Peltonen, Timo Nummenmaa, Jyrki Nummenmaa, Kalervo Jäarvelin |
| 2021 | DAGSurv: Directed Ayclic Graph Based Survival Analysis Using Deep Neural Networks. Ansh Kumar Sharma, Rahul Kukreja, Ranjitha Prasad, Shilpa Rao |
| 2021 | DDSAS: Dynamic and Differentiable Space-Architecture Search. Longxing Yang, Yu Hu, Shun Lu, Zihao Sun, Jilin Mei, Yiming Zeng, Zhiping Shi, Yinhe Han, Xiaowei Li |
| 2021 | DPOQ: Dynamic Precision Onion Quantization. Bowen Li, Kai Huang, Siang Chen, Dongliang Xiong, Luc Claesen |
| 2021 | Deep Structural Contrastive Subspace Clustering. Bo Peng, Wenjie Zhu |
| 2021 | Domain Adaptive YOLO for One-Stage Cross-Domain Detection. Shizhao Zhang, Hongya Tuo, Jian Hu, Zhongliang Jing |
| 2021 | Dynamic Coordination Graph for Cooperative Multi-Agent Reinforcement Learning. Chapman Siu, Jason Traish, Richard Yi Da Xu |
| 2021 | Dynamic Popularity-Aware Contrastive Learning for Recommendation. Fangquan Lin, Wei Jiang, Jihai Zhang, Cheng Yang |
| 2021 | Efficient Coreset Constructions via Sensitivity Sampling. Vladimir Braverman, Dan Feldman, Harry Lang, Adiel Statman, Samson Zhou |
| 2021 | Encoder-decoder-based image transformation approach for integrating precipitation forecasts. Hirotaka Hachiya, Yusuke Masumoto, Yuki Mori, Naonori Ueda |
| 2021 | Ensembling With a Fixed Parameter Budget: When Does It Help and Why? Didan Deng, Bertram Emil Shi |
| 2021 | ExNN-SMOTE: Extended Natural Neighbors Based SMOTE to Deal with Imbalanced Data. Hongjiao Guan, Bin Ma, Yingtao Zhang, Xianglong Tang |
| 2021 | Expert advice problem with noisy low rank loss. Yaxiong Liu, Xuanke Jiang, Kohei Hatano, Eiji Takimoto |
| 2021 | Exposing Cyber-Physical System Weaknesses by Implicitly Learning their Underlying Models. Napoleon Costilla-Enriquez, Yang Weng |
| 2021 | Expressive Neural Voice Cloning. Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley |
| 2021 | Fairness constraint of Fuzzy C-means Clustering improves clustering fairness. Xia Xu, Hui Zhang, Chunming Yang, Xujian Zhao, Bo Li |
| 2021 | Fast Rate Learning in Stochastic First Price Bidding. Juliette Achddou, Olivier Cappé, Aurélien Garivier |
| 2021 | Feature Convolutional Networks. He Hu |
| 2021 | Generating Deep Networks Explanations with Robust Attribution Alignment. Guohang Zeng, Yousef Kowsar, Sarah M. Erfani, James Bailey |
| 2021 | Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning. Toshinori Kitamura, Lingwei Zhu, Takamitsu Matsubara |
| 2021 | Greedy Search Algorithm for Mixed Precision in Post-Training Quantization of Convolutional Neural Network Inspired by Submodular Optimization. Satoki Tsuji, Hiroshi Kawaguchi, Atsuki Inoue, Yasufumi Sakai, Fuyuka Yamada |
| 2021 | Hierarchical Semantic Segmentation using Psychometric Learning. Lu Yin, Vlado Menkovski, Shiwei Liu, Mykola Pechenizkiy |
| 2021 | Hybrid Estimation for Open-Ended Questions with Early-Age Students' Block-Based Programming Answers. Hao Wu, Tianyi Chen, Xianzhe Luo, Canghong Jin, Yun Zhang, Minghui Wu |
| 2021 | Hybrid Summarization with Semantic Weighting Reward and Latent Structure Detector. Mingyang Song, Liping Jing, Yi Feng, Zhiwei Sun, Lin Xiao |
| 2021 | Improving Gaussian mixture latent variable model convergence with Optimal Transport. Benoit Gaujac, Ilya Feige, David Barber |
| 2021 | Improving Hashing Algorithms for Similarity Search \textitvia MLE and the Control Variates Trick. Keegan Kang, Sergey Kushnarev, Wong Wei Pin, Rameshwar Pratap, Haikal Yeo, Yijia Chen |
| 2021 | Iterative Deep Model Compression and Acceleration in the Frequency Domain. Yao Zeng, Xusheng Liu, Lintan Sun, Wenzhong Li, Yuchu Fang, Sanglu Lu |
| 2021 | K Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng |
| 2021 | Language Representations for Generalization in Reinforcement Learning. Goodger Nikolaj, Peter Vamplew, Cameron Foale, Richard Dazeley |
| 2021 | Layer-Wise Neural Network Compression via Layer Fusion. James O'Neill, Greg Ver Steeg, Aram Galstyan |
| 2021 | Learn to Predict Vertical Track Irregularity with Extremely Imbalanced Data. Yutao Chen, Yu Zhang, Fei Yang |
| 2021 | Learning 3-opt heuristics for traveling salesman problem via deep reinforcement learning. Jingyan Sui, Shizhe Ding, Ruizhi Liu, Liming Xu, Dongbo Bu |
| 2021 | Learning Maximum Margin Markov Networks from examples with missing labels. Vojtech Franc, Andrii Yermakov |
| 2021 | Learning to Switch Optimizers for Quadratic Programming. Grant Getzelman, Prasanna Balaprakash |
| 2021 | Lifelong Learning with Branching Experts. Yi-Shan Wu, Yi-Te Hong, Chi-Jen Lu |
| 2021 | Lifelong Learning with Sketched Structural Regularization. Haoran Li, Aditya Krishnan, Jingfeng Wu, Soheil Kolouri, Praveen K. Pilly, Vladimir Braverman |
| 2021 | Local Aggressive Adversarial Attacks on 3D Point Cloud. Yiming Sun, Feng Chen, Zhiyu Chen, Mingjie Wang |
| 2021 | Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations. Shameem Ahamed Puthiya Parambath, Christos Anagnostopoulos, Roderick Murray-Smith, Sean MacAvaney, Evangelos Zervas |
| 2021 | Maximization of Monotone k-Submodular Functions with Bounded Curvature and Non-k-Submodular Functions. Tatsuya Matsuoka, Naoto Ohsaka |
| 2021 | Meta-Model-Based Meta-Policy Optimization. Takuya Hiraoka, Takahisa Imagawa, Voot Tangkaratt, Takayuki Osa, Takashi Onishi, Yoshimasa Tsuruoka |
| 2021 | Metric Learning for comparison of HMMs using Graph Neural Networks. Rajan Kumar Soni, Karthick Seshadri, Balaraman Ravindran |
| 2021 | Modeling Risky Choices in Unknown Environments. Ville Tanskanen, Chang Rajani, Homayun Afrabandpey, Aini Putkonen, Aurélien Nioche, Arto Klami |
| 2021 | Multi-Branch Network for Cross-Subject EEG-based Emotion Recognition. Guang Lin, Li Zhu, Bin Ren, Yiteng Hu, Jianhai Zhang |
| 2021 | Multi-factor Memory Attentive Model for Knowledge Tracing. Congjie Liu, Xiaoguang Li |
| 2021 | Multi-scale Salient Instance Segmentation based on Encoder-Decoder. Houru Chen, Caijuan Shi, Wei Li, Changyu Duan, Jinwei Yan |
| 2021 | Multi-stream based marked point process. Sujun Hong, Hirotaka Hachiya |
| 2021 | Multi-task Actor-Critic with Knowledge Transfer via a Shared Critic. Gengzhi Zhang, Liang Feng, Yaqing Hou |
| 2021 | Multi-view Latent Subspace Clustering based on both Global and Local Structure. Honghan Zhou, Weiling Cai, Le Xu, Yang Ming |
| 2021 | NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of Convolutional Neural Network Architecture and Training Hyperparameters. Yoichi Hirose, Nozomu Yoshinari, Shinichi Shirakawa |
| 2021 | Neural Graph Filtering for Context-aware Recommendation. Chuanyan Zhang, Xiaoguang Hong |
| 2021 | On the Convex Combination of Determinantal Point Processes. Tatsuya Matsuoka, Naoto Ohsaka, Akihiro Yabe |
| 2021 | Open Images V5 Text Annotation and Yet Another Mask Text Spotter. Ilya Krylov, Sergei Nosov, Vladislav Sovrasov |
| 2021 | PFedAtt: Attention-based Personalized Federated Learning on Heterogeneous Clients. Zichen Ma, Yu Lu, Wenye Li, Jinfeng Yi, Shuguang Cui |
| 2021 | Pedestrian Wind Factor Estimation in Complex Urban Environments. Sarah Mokhtar, Matthew Beveridge, Yumeng Melody Cao, Iddo Drori |
| 2021 | Penalty Method for Inversion-Free Deep Bilevel Optimization. Akshay Mehra, Jihun Hamm |
| 2021 | Perturbing Eigenvalues with Residual Learning in Graph Convolutional Neural Networks. Shibo Yao, Dantong Yu, Xiangmin Jiao |
| 2021 | Physics-inspired Learning for Structure-Aware Texture-Sensitive Underwater Image Enhancement. Xinwei Xue, Zexuan Li, Long Ma, Risheng Liu, Xin Fan |
| 2021 | Preface / Frontmatter. |
| 2021 | Pyramid Correlation based Deep Hough Voting for Visual Object Tracking. Ying Wang, Tingfa Xu, Shenwang Jiang, Junjie Chen, Jianan Li |
| 2021 | QActor: Active Learning on Noisy Labels. Taraneh Younesian, Zilong Zhao, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen |
| 2021 | Quaternion Graph Neural Networks. Dai Quoc Nguyen, Tu Dinh Nguyen, Dinh Q. Phung |
| 2021 | Regularized Mutual Learning for Personalized Federated Learning. Ruihong Yang, Junchao Tian, Yu Zhang |
| 2021 | Relation Also Need Attention: Integrating Relation Information Into Image Captioning. Tianyu Chen, Zhixin Li, Tiantao Xian, Canlong Zhang, Huifang Ma |
| 2021 | Revisiting Weight Initialization of Deep Neural Networks. Maciej Skorski, Alessandro Temperoni, Martin Theobald |
| 2021 | Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation. Chenyang Zhao, Timothy M. Hospedales |
| 2021 | Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control. Wanpeng Zhang, Xiaoyan Cao, Yao Yao, Zhicheng An, Xi Xiao, Dijun Luo |
| 2021 | Robust Regression for Monocular Depth Estimation. Julian Lienen, Nils Nommensen, Ralph Ewerth, Eyke Hüllermeier |
| 2021 | S2TNet: Spatio-Temporal Transformer Networks for Trajectory Prediction in Autonomous Driving. Weihuang Chen, Fangfang Wang, Hongbin Sun |
| 2021 | SPDE-Net: Neural Network based prediction of stabilization parameter for SUPG technique. Sangeeta Yadav, Sashikumaar Ganesan |
| 2021 | Scalable gradient matching based on state space Gaussian Processes. Futoshi Futami |
| 2021 | Scaling Average-Linkage via Sparse Cluster Embeddings. Thomas Lavastida, Kefu Lu, Benjamin Moseley, Yuyan Wang |
| 2021 | Semi-Open Attribute Extraction from Chinese Functional Description Text. Li Zhang, Yanzeng Li, Rouyu Zhang, Wenjie Li |
| 2021 | Sinusoidal Flow: A Fast Invertible Autoregressive Flow. Yumou Wei |
| 2021 | Skew-symmetrically perturbed gradient flow for convex optimization. Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Ikko Yamane |
| 2021 | Slice-sampling based 3D Object Classification. Xiangwen Zhao, Yi-Jun Yang, Wei Zeng, Liqun Yang, Yao Wang |
| 2021 | Solving Machine Learning Problems. Sunny Tran, Pranav Krishna, Ishan Pakuwal, Prabhakar Kafle, Nikhil Singh, Jayson Lynch, Iddo Drori |
| 2021 | Spatial Temporal Enhanced Contrastive and Pretext Learning for Skeleton-based Action Representation. Yiwen Zhan, Yuchen Chen, Pengfei Ren, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao |
| 2021 | Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox. Baihan Lin, Xinxin Zhang |
| 2021 | Temporal Relation based Attentive Prototype Network for Few-shot Action Recognition. Guangge Wang, Haihui Ye, Xiao Wang, Weirong Ye, Hanzi Wang |
| 2021 | The Power of Factorial Powers: New Parameter settings for (Stochastic) Optimization. Aaron Defazio, Robert M. Gower |
| 2021 | Time-Constrained Multi-Agent Path Finding in Non-Lattice Graphs with Deep Reinforcement Learning. Marijn van Knippenberg, Mike Holenderski, Vlado Menkovski |
| 2021 | Transfer Learning with Adaptive Online TrAdaBoost for Data Streams. Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe |
| 2021 | Understanding How Over-Parametrization Leads to Acceleration: A case of learning a single teacher neuron. Jun-Kun Wang, Jacob D. Abernethy |
| 2021 | Unsupervised Cycle-Consistent Network for Removing Susceptibility Artifacts in Single-shot EPI. Weida Xie, Shi Chen, Qingjia Bao, Kewen Liu, Zhao Li, Xiaojun Li, Chongxin Bai, Piqiang Li, Chaoyang Liu, Otikovs Martins |
| 2021 | Uplift Modeling with High Class Imbalance. Otto Nyberg, Tomasz Kusmierczyk, Arto Klami |
| 2021 | Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds. Reza Godaz, Benyamin Ghojogh, Reshad Hosseini, Reza Monsefi, Fakhri Karray, Mark Crowley |
| 2021 | Video Action Recognition with Neural Architecture Search. Yuanding Zhou, Baopu Li, Zhihui Wang, Haojie Li |
| 2021 | calibrated adversarial training. Tianjin Huang, Vlado Menkovski, Yulong Pei, Mykola Pechenizkiy |
| 2021 | h-DBSCAN: A simple fast DBSCAN algorithm for big data. Shaoyuan Weng, Jin Gou, Zongwen Fan |