Papers
Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization
Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue et al.
Calibration tests in multi-class classification: A unifying framework
David Widmann, Fredrik Lindsten, Dave Zachariah
Can SGD Learn Recurrent Neural Networks with Provable Generalization?
Zeyuan Allen-Zhu, Yuanzhi Li
Can Unconditional Language Models Recover Arbitrary Sentences?
Nishant Subramani, Samuel Bowman, Kyunghyun Cho
Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift
Yaniv Ovadia, Emily Fertig, Jie Ren et al.
Capacity Bounded Differential Privacy
Kamalika Chaudhuri, Jacob Imola, Ashwin Machanavajjhala
Cascaded Dilated Dense Network with Two-step Data Consistency for MRI Reconstruction
Hao Zheng, Faming Fang, Guixu Zhang
Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution
Thang Vu, Hyunjun Jang, Trung X. Pham et al.
Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning
Xinyang Chen, Sinan Wang, Bo Fu et al.
Categorized Bandits
Matthieu Jedor, Vianney Perchet, Jonathan Louedec
Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation
Qiming ZHANG, Jing Zhang, Wei Liu et al.
Causal Confusion in Imitation Learning
Pim de Haan, Dinesh Jayaraman, Sergey Levine
Causal Regularization
Dominik Janzing
Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback
Arun Verma, Manjesh Hanawal, Arun Rajkumar et al.
Certainty Equivalence is Efficient for Linear Quadratic Control
Horia Mania, Stephen Tu, Benjamin Recht
Certifiable Robustness to Graph Perturbations
Aleksandar Bojchevski, Stephan Günnemann
Certified Adversarial Robustness with Additive Noise
Bai Li, Changyou Chen, Wenlin Wang et al.
Certifying Geometric Robustness of Neural Networks
Mislav Balunovic, Maximilian Baader, Gagandeep Singh et al.
Channel Gating Neural Networks
Weizhe Hua, Yuan Zhou, Christopher M De Sa et al.
Characterization and Learning of Causal Graphs with Latent Variables from Soft Interventions
Murat Kocaoglu, Amin Jaber, Karthikeyan Shanmugam et al.
Characterizing Bias in Classifiers using Generative Models
Daniel McDuff, Shuang Ma, Yale Song et al.
Chasing Ghosts: Instruction Following as Bayesian State Tracking
Peter Anderson, Ayush Shrivastava, Devi Parikh et al.
Chirality Nets for Human Pose Regression
Raymond Yeh, Yuan-Ting Hu, Alexander Schwing
Classification Accuracy Score for Conditional Generative Models
Suman Ravuri, Oriol Vinyals