Papers
8,340 papers found
COLA: Orchestrating Error Coding and Learning for Robust Neural Network Inference Against Hardware Defects
Anlan Yu, Ning Lyu, Jieming Yin et al.
Cold Analysis of Rao-Blackwellized Straight-Through Gumbel-Softmax Gradient Estimator
Alexander Shekhovtsov
Collaborative Causal Inference with Fair Incentives
Rui Qiao, Xinyi Xu, Bryan Kian Hsiang Low
Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits
Ronshee Chawla, Daniel Vial, Sanjay Shakkottai et al.
Combinatorial Neural Bandits
Taehyun Hwang, Kyuwook Chai, Min-Hwan Oh
COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models
Jinqi Xiao, Miao Yin, Yu Gong et al.
Communication-Constrained Bandits under Additive Gaussian Noise
Prathamesh Mayekar, Jonathan Scarlett, Vincent Y. F. Tan
Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects
Naoufal Acharki, Ramiro Lugo, Antoine Bertoncello et al.
Competing for Shareable Arms in Multi-Player Multi-Armed Bandits
Renzhe Xu, Haotian Wang, Xingxuan Zhang et al.
Competitive Gradient Optimization
Abhijeet Vyas, Brian Bullins, Kamyar Azizzadenesheli
Complementary Attention for Multi-Agent Reinforcement Learning
Jianzhun Shao, Hongchang Zhang, Yun Qu et al.
Composer: Creative and Controllable Image Synthesis with Composable Conditions
Lianghua Huang, Di Chen, Yu Liu et al.
Compositional Exemplars for In-context Learning
Jiacheng Ye, Zhiyong Wu, Jiangtao Feng et al.
Compositional Score Modeling for Simulation-Based Inference
Tomas Geffner, George Papamakarios, Andriy Mnih
Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data
Yonggui Yan, Jie Chen, Pin-Yu Chen et al.
Compressing Tabular Data via Latent Variable Estimation
Andrea Montanari, Eric Weiner
Computational Asymmetries in Robust Classification
Samuele Marro, Michele Lombardi
Computational Doob h-transforms for Online Filtering of Discretely Observed Diffusions
Nicolas Chopin, Andras Fulop, Jeremy Heng et al.
Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings
Masatoshi Uehara, Ayush Sekhari, Jason D. Lee et al.
Concept-based Explanations for Out-of-Distribution Detectors
Jihye Choi, Jayaram Raghuram, Ryan Feng et al.
ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction
Wang Zhang, Tsui-Wei Weng, Subhro Das et al.
Concurrent Shuffle Differential Privacy Under Continual Observation
Jay Tenenbaum, Haim Kaplan, Yishay Mansour et al.
Conditional Graph Information Bottleneck for Molecular Relational Learning
Namkyeong Lee, Dongmin Hyun, Gyoung S. Na et al.