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| 2021 | ASD-Conv: Monocular 3D object detection network based on Asymmetrical Segmentation Depth-aware Convolution. | Xingyuan Yu, Neng Du, Ge Gao, Fan Wen |
| 2021 | QActor: Active Learning on Noisy Labels. | Taraneh Younesian, Zilong Zhao, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen |
| 2021 | Hierarchical Semantic Segmentation using Psychometric Learning. | Lu Yin, Vlado Menkovski, Shiwei Liu, Mykola Pechenizkiy |
| 2021 | Perturbing Eigenvalues with Residual Learning in Graph Convolutional Neural Networks. | Shibo Yao, Dantong Yu, Xiangmin Jiao |
| 2021 | A Two-Stage Training Framework with Feature-Label Matching Mechanism for Learning from Label Proportions. | Haoran Yang, Wanjing Zhang, Wai Lam |
| 2021 | Regularized Mutual Learning for Personalized Federated Learning. | Ruihong Yang, Junchao Tian, Yu Zhang |
| 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 | SPDE-Net: Neural Network based prediction of stabilization parameter for SUPG technique. | Sangeeta Yadav, Sashikumaar Ganesan |
| 2021 | Fairness constraint of Fuzzy C-means Clustering improves clustering fairness. | Xia Xu, Hui Zhang, Chunming Yang, Xujian Zhao, Bo Li |
| 2021 | Physics-inspired Learning for Structure-Aware Texture-Sensitive Underwater Image Enhancement. | Xinwei Xue, Zexuan Li, Long Ma, Risheng Liu, Xin Fan |
| 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 | Preface / Frontmatter. | |
| 2021 | Transfer Learning with Adaptive Online TrAdaBoost for Data Streams. | Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe |
| 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 | Building Decision Tree for Imbalanced Classification via Deep Reinforcement Learning. | Guixuan Wen, Kaigui Wu |
| 2021 | h-DBSCAN: A simple fast DBSCAN algorithm for big data. | Shaoyuan Weng, Jin Gou, Zongwen Fan |
| 2021 | Sinusoidal Flow: A Fast Invertible Autoregressive Flow. | Yumou Wei |
| 2021 | Temporal Relation based Attentive Prototype Network for Few-shot Action Recognition. | Guangge Wang, Haihui Ye, Xiao Wang, Weirong Ye, Hanzi Wang |
| 2021 | Pyramid Correlation based Deep Hough Voting for Visual Object Tracking. | Ying Wang, Tingfa Xu, Shenwang Jiang, Junjie Chen, Jianan Li |
| 2021 | An Optimistic Acceleration of AMSGrad for Nonconvex Optimization. | Jun-Kun Wang, Xiaoyun Li, Belhal Karimi, Ping Li |
| 2021 | Understanding How Over-Parametrization Leads to Acceleration: A case of learning a single teacher neuron. | Jun-Kun Wang, Jacob D. Abernethy |
| 2021 | Bayesian neural network unit priors and generalized Weibull-tail property. | Mariia Vladimirova, Julyan Arbel, Stphane Girard |
| 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 | Solving Machine Learning Problems. | Sunny Tran, Pranav Krishna, Ishan Pakuwal, Prabhakar Kafle, Nikhil Singh, Jayson Lynch, Iddo Drori |