Papers
Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data
Hari Prasanna Das, Ryan Tran, Japjot Singh et al.
Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss
Yantao Gong, Cao Liu, Fan Yang et al.
Conjugated Discrete Distributions for Distributional Reinforcement Learning
Björn Lindenberg, Jonas Nordqvist, Karl-Olof Lindahl
Consent as a Foundation for Responsible Autonomy
Munindar P. Singh
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning
Yecheng Jason Ma, Andrew Shen, Osbert Bastani et al.
Consistency Regularization for Adversarial Robustness
Jihoon Tack, Sihyun Yu, Jongheon Jeong et al.
Constrained Prescriptive Trees via Column Generation
Shivaram Subramanian, Wei Sun, Youssef Drissi et al.
Constraint-Driven Explanations for Black-Box ML Models
Aditya A. Shrotri, Nina Narodytska, Alexey Ignatiev et al.
Constraint Sampling Reinforcement Learning: Incorporating Expertise for Faster Learning
Tong Mu, Georgios Theocharous, David Arbour et al.
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.