Papers
Constraints Penalized Q-learning for Safe Offline Reinforcement Learning
Haoran Xu, Xianyuan Zhan, Xiangyu Zhu
Construct Effective Geometry Aware Feature Pyramid Network for Multi-Scale Object Detection
Jinpeng Dong, Yuhao Huang, Songyi Zhang et al.
Contact-Distil: Boosting Low Homologous Protein Contact Map Prediction by Self-Supervised Distillation
Qin Wang, Jiayang Chen, Yuzhe Zhou et al.
Content-Variant Reference Image Quality Assessment via Knowledge Distillation
Guanghao Yin, Wei Wang, Zehuan Yuan et al.
Context-Aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs
Chang Lu, Tian Han, Yue Ning
Context-Aware Transfer Attacks for Object Detection
Zikui Cai, Xinxin Xie, Shasha Li et al.
Context-Based Contrastive Learning for Scene Text Recognition
Xinyun Zhang, Binwu Zhu, Xufeng Yao et al.
Context-Specific Representation Abstraction for Deep Option Learning
Marwa Abdulhai, Dong-Ki Kim, Matthew Riemer et al.
Context Uncertainty in Contextual Bandits with Applications to Recommender Systems
Hao Wang, Yifei Ma, Hao Ding et al.
Continual Learning through Retrieval and Imagination
Zhen Wang, Liu Liu, Yiqun Duan et al.
Contrast and Generation Make BART a Good Dialogue Emotion Recognizer
Shimin Li, Hang Yan, Xipeng Qiu
Contrast-Enhanced Semi-supervised Text Classification with Few Labels
Austin Cheng-Yun Tsai, Sheng-Ya Lin, Li-Chen Fu
Contrastive Instruction-Trajectory Learning for Vision-Language Navigation
Xiwen Liang, Fengda Zhu, Yi Zhu et al.
Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-Supervised Action Recognition
Tianyu Guo, Hong Liu, Zhan Chen et al.
Contrastive Personalization Approach to Suspect Identification (Student Abstract)
Devansh Gupta, Drishti Bhasin, Sarthak Bhagat et al.
Contrastive Quantization with Code Memory for Unsupervised Image Retrieval
Jinpeng Wang, Ziyun Zeng, Bin Chen et al.
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