Papers
Controllable Image Captioning via Prompting
Ning Wang, Jiahao Xie, Jihao Wu et al.
Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning
Cong Wang, Zhiwei Jiang, Yafeng Yin et al.
Converge to the Truth: Factual Error Correction via Iterative Constrained Editing
Jiangjie Chen, Rui Xu, Wenxuan Zeng et al.
ConvMatch: Rethinking Network Design for Two-View Correspondence Learning
Shihua Zhang, Jiayi Ma
ConvNTM: Conversational Neural Topic Model
Hongda Sun, Quan Tu, Jinpeng Li et al.
Cooperative and Adversarial Learning: Co-enhancing Discriminability and Transferability in Domain Adaptation
Hui Sun, Zheng Xie, Xin-Ye Li et al.
CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning
Yang Zhao, Jianwen Xie, Ping Li
CoordFill: Efficient High-Resolution Image Inpainting via Parameterized Coordinate Querying
Weihuang Liu, Xiaodong Cun, Chi-Man Pun et al.
CoP: Factual Inconsistency Detection by Controlling the Preference
Shuaijie She, Xiang Geng, Shujian Huang et al.
Copyright-Certified Distillation Dataset: Distilling One Million Coins into One Bitcoin with Your Private Key
Tengjun Liu, Ying Chen, Wanxuan Gu
Correct-by-Construction Reinforcement Learning of Cardiac Pacemakers from Duration Calculus Requirements
Kalyani Dole, Ashutosh Gupta, John Komp et al.
Correct for Whom? Subjectivity and the Evaluation of Personalized Image Aesthetics Assessment Models
Samuel Goree, Weslie Khoo, David J. Crandall
Correlation Loss: Enforcing Correlation between Classification and Localization
Fehmi Kahraman, Kemal Oksuz, Sinan Kalkan et al.
Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image Retrieval
Xu Wang, Dezhong Peng, Ming Yan et al.
Corruption-Tolerant Algorithms for Generalized Linear Models
Bhaskar Mukhoty, Debojyoti Dey, Purushottam Kar
Cosmic Microwave Background Recovery: A Graph-Based Bayesian Convolutional Network Approach
Jadie Adams, Steven Lu, Krzysztof M. Gorski et al.
COSMOS: Catching Out-of-Context Image Misuse Using Self-Supervised Learning
Shivangi Aneja, Chris Bregler, Matthias Niessner
Counterfactual Dynamics Forecasting – a New Setting of Quantitative Reasoning
Yanzhu Liu, Ying Sun, Joo-Hwee Lim
Counterfactual Fairness Is Basically Demographic Parity
Lucas Rosenblatt, R. Teal Witter
Counterfactual Learning with General Data-Generating Policies
Yusuke Narita, Kyohei Okumura, Akihiro Shimizu et al.
Counterfactuals for the Future
Lucius E. J. Bynum, Joshua R. Loftus, Julia Stoyanovich
Counting Knot Mosaics with ALLSAT (Student Abstract)
Hannah Miller
Coupling Artificial Neurons in BERT and Biological Neurons in the Human Brain
Xu Liu, Mengyue Zhou, Gaosheng Shi et al.