Papers
Cost-sensitive Regularization for Label Confusion-aware Event Detection
Hongyu Lin, Yaojie Lu, Xianpei Han et al.
Cost-Sensitive Robustness against Adversarial Examples
Xiao Zhang, David Evans
CoT: Cooperative Training for Generative Modeling of Discrete Data
Sidi Lu, Lantao Yu, Siyuan Feng et al.
Co-training for Policy Learning
Jialin Song, Ravi Lanka, Yisong Yue et al.
CoTrRank: Trust Evaluation of Users and Tweets
Peiyao Li, Weiliang Zhao, Jian Yang et al.
Countdown Regression: Sharp and Calibrated Survival Predictions
Anand Avati, Tony Duan, Sharon Zhou et al.
Counter-example Guided Learning of Bounds on Environment Behavior
Yuxiao Chen, Sumanth Dathathri, Tung Phan-Minh et al.
Counterexample-Guided Strategy Improvement for POMDPs Using Recurrent Neural Networks
Steven Carr, Nils Jansen, Ralf Wimmer et al.
Counterfactual Critic Multi-Agent Training for Scene Graph Generation
Long Chen, Hanwang Zhang, Jun Xiao et al.
Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology
Ran Zmigrod, Sabrina J. Mielke, Hanna Wallach et al.
Counterfactual Fairness: Unidentification, Bound and Algorithm
Yongkai Wu, Lu Zhang, Xintao Wu
Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models
Michael Oberst, David Sontag
Counterfactual Randomization: Rescuing Experimental Studies from Obscured Confounding
Andrew Forney, Elias Bareinboim
Counterfactual Reasoning for Fair Clinical Risk Prediction
Stephen R. Pfohl, Tony Duan, Daisy Yi Ding et al.
Counterfactual Reasoning in Observational Studies
Negar Hassanpour
CounterFactual Regression with Importance Sampling Weights
Negar Hassanpour, Russell Greiner
Counterfactual Story Reasoning and Generation
Lianhui Qin, Antoine Bosselut, Ari Holtzman et al.
Counterfactual Story Reasoning and Generation
Lianhui Qin, Antoine Bosselut, Ari Holtzman et al.
Counterfactual Visual Explanations
Yash Goyal, Ziyan Wu, Jan Ernst et al.
Countering Language Drift via Visual Grounding
Jason Lee, Kyunghyun Cho, Douwe Kiela
Countering Language Drift via Visual Grounding
Jason Lee, Kyunghyun Cho, Douwe Kiela
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses
Matt Grenander, Yue Dong, Jackie Chi Kit Cheung et al.
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses
Matt Grenander, Yue Dong, Jackie Chi Kit Cheung et al.
Counting and Sampling from Markov Equivalent DAGs Using Clique Trees
AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash et al.