Papers
Continual Learning in the Teacher-Student Setup: Impact of Task Similarity
Sebastian Lee, Sebastian Goldt, Andrew Saxe
Continuous Coordination As a Realistic Scenario for Lifelong Learning
Hadi Nekoei, Akilesh Badrinaaraayanan, Aaron Courville et al.
Continuous-time Model-based Reinforcement Learning
Cagatay Yildiz, Markus Heinonen, Harri Lähdesmäki
Contrastive Learning Inverts the Data Generating Process
Roland S. Zimmermann, Yash Sharma, Steffen Schneider et al.
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks
Eli Meirom, Haggai Maron, Shie Mannor et al.
Convex Regularization in Monte-Carlo Tree Search
Tuan Q Dam, Carlo D’Eramo, Jan Peters et al.
ConvexVST: A Convex Optimization Approach to Variance-stabilizing Transformation
Mengfan Wang, Boyu Lyu, Guoqiang Yu
ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases
Stéphane D’Ascoli, Hugo Touvron, Matthew L Leavitt et al.
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
Iou-Jen Liu, Unnat Jain, Raymond A Yeh et al.
Correcting Exposure Bias for Link Recommendation
Shantanu Gupta, Hao Wang, Zachary Lipton et al.
Correlation Clustering in Constant Many Parallel Rounds
Vincent Cohen-Addad, Silvio Lattanzi, Slobodan Mitrović et al.
Counterfactual Credit Assignment in Model-Free Reinforcement Learning
Thomas Mesnard, Theophane Weber, Fabio Viola et al.
CountSketches, Feature Hashing and the Median of Three
Kasper Green Larsen, Rasmus Pagh, Jakub Tětek
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks
Chulin Xie, Minghao Chen, Pin-Yu Chen et al.
Cross-domain Imitation from Observations
Dripta S. Raychaudhuri, Sujoy Paul, Jeroen Vanbaar et al.
Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data
Yasaman Esfandiari, Sin Yong Tan, Zhanhong Jiang et al.
Cross-model Back-translated Distillation for Unsupervised Machine Translation
Xuan-Phi Nguyen, Shafiq Joty, Thanh-Tung Nguyen et al.
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee
Tengyu Xu, Yingbin Liang, Guanghui Lan
Crystallization Learning with the Delaunay Triangulation
Jiaqi Gu, Guosheng Yin
Cumulants of Hawkes Processes are Robust to Observation Noise
William Trouleau, Jalal Etesami, Matthias Grossglauser et al.
CURI: A Benchmark for Productive Concept Learning Under Uncertainty
Ramakrishna Vedantam, Arthur Szlam, Maximillian Nickel et al.
Cyclically Equivariant Neural Decoders for Cyclic Codes
Xiangyu Chen, Min Ye
DAGs with No Curl: An Efficient DAG Structure Learning Approach
Yue Yu, Tian Gao, Naiyu Yin et al.
DANCE: Enhancing saliency maps using decoys
Yang Young Lu, Wenbo Guo, Xinyu Xing et al.