Papers
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.
Conditionally Strongly Log-Concave Generative Models
Florentin Guth, Etienne Lempereur, Joan Bruna et al.
Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models
Harshit Varma, Abhijeet Awasthi, Sunita Sarawagi
Cones: Concept Neurons in Diffusion Models for Customized Generation
Zhiheng Liu, Ruili Feng, Kai Zhu et al.
Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation
Weijian Deng, Yumin Suh, Stephen Gould et al.
Conformal Inference is (almost) Free for Neural Networks Trained with Early Stopping
Ziyi Liang, Yanfei Zhou, Matteo Sesia
Conformalization of Sparse Generalized Linear Models
Etash Kumar Guha, Eugene Ndiaye, Xiaoming Huo
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift
Vincent Plassier, Mehdi Makni, Aleksandr Rubashevskii et al.
Conformal Prediction Sets for Graph Neural Networks
Soroush H. Zargarbashi, Simone Antonelli, Aleksandar Bojchevski
Conformal Prediction with Missing Values
Margaux Zaffran, Aymeric Dieuleveut, Julie Josse et al.
Consistency Models
Yang Song, Prafulla Dhariwal, Mark Chen et al.