Papers
Contrastive Spatio-Temporal Pretext Learning for Self-Supervised Video Representation
Yujia Zhang, Lai-Man Po, Xuyuan Xu et al.
ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification
Junfan Chen, Richong Zhang, Yongyi Mao et al.
Contribution-Aware Federated Learning for Smart Healthcare
Zelei Liu, Yuanyuan Chen, Yansong Zhao et al.
Controlling the Spread of Two Secrets in Diverse Social Networks (Student Abstract)
Václav Blažej, Dušan Knop, Šimon Schierreich
Controlling Underestimation Bias in Reinforcement Learning via Quasi-median Operation
Wei Wei, Yujia Zhang, Jiye Liang et al.
Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation
Evgenii Nikishin, Romina Abachi, Rishabh Agarwal et al.
Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings
Matthew S. Zhang, Murat A Erdogdu, Animesh Garg
Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition
Marawan Gamal Abdel Hameed, Marzieh S. Tahaei, Ali Mosleh et al.
Cooperative Multi-Agent Fairness and Equivariant Policies
Niko A. Grupen, Bart Selman, Daniel D. Lee
Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training
Estelle Massart, Vinayak Abrol
Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games
Kai Wang, Lily Xu, Andrew Perrault et al.
Coordinating Momenta for Cross-Silo Federated Learning
An Xu, Heng Huang
Co-promotion Predictions of Financing Market and Sales Market: A Cooperative-Competitive Attention Approach
Lei Zhang, Wang Xiang, Chuang Zhao et al.
Correlation Field for Boosting 3D Object Detection in Structured Scenes
Jianhua Sun, Hao-Shu Fang, Xianghui Zhu et al.
Cosine Model Watermarking against Ensemble Distillation
Laurent Charette, Lingyang Chu, Yizhou Chen et al.
Covered Information Disentanglement: Model Transparency via Unbiased Permutation Importance
João P. B. Pereira, Erik S. G. Stroes, Aeilko H. Zwinderman et al.
COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies
Doyoung Kim, Hyangsuk Min, Youngeun Nam et al.
CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation
Yu Qiao, Jincheng Zhu, Chengjiang Long et al.
CQA-Face: Contrastive Quality-Aware Attentions for Face Recognition
Qiangchang Wang, Guodong Guo
Creating Interactive Crowds with Reinforcement Learning
Ariel Kwiatkowski
Creativity of AI: Automatic Symbolic Option Discovery for Facilitating Deep Reinforcement Learning
Mu Jin, Zhihao Ma, Kebing Jin et al.
Criticality-Based Advice in Reinforcement Learning (Student Abstract)
Yitzhak Spielberg, Amos Azaria
Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving
Li Wang, Dong Li, Han Liu et al.
Cross-Domain Collaborative Normalization via Structural Knowledge
Haifeng Xia, Zhengming Ding