Papers
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.
Dash: Semi-Supervised Learning with Dynamic Thresholding
Yi Xu, Lei Shang, Jinxing Ye et al.
Data augmentation for deep learning based accelerated MRI reconstruction with limited data
Zalan Fabian, Reinhard Heckel, Mahdi Soltanolkotabi
Data Augmentation for Meta-Learning
Renkun Ni, Micah Goldblum, Amr Sharaf et al.
Data-efficient Hindsight Off-policy Option Learning
Markus Wulfmeier, Dushyant Rao, Roland Hafner et al.
Data-Free Knowledge Distillation for Heterogeneous Federated Learning
Zhuangdi Zhu, Junyuan Hong, Jiayu Zhou
Dataset Condensation with Differentiable Siamese Augmentation
Bo Zhao, Hakan Bilen
Dataset Dynamics via Gradient Flows in Probability Space
David Alvarez-Melis, Nicolò Fusi
Debiasing a First-order Heuristic for Approximate Bi-level Optimization
Valerii Likhosherstov, Xingyou Song, Krzysztof Choromanski et al.
Debiasing Model Updates for Improving Personalized Federated Training
Durmus Alp Emre Acar, Yue Zhao, Ruizhao Zhu et al.