Papers
ClimaX: A foundation model for weather and climate
Tung Nguyen, Johannes Brandstetter, Ashish Kapoor et al.
CLIPood: Generalizing CLIP to Out-of-Distributions
Yang Shu, Xingzhuo Guo, Jialong Wu et al.
Cluster Explanation via Polyhedral Descriptions
Connor Lawless, Oktay Gunluk
ClusterFuG: Clustering Fully connected Graphs by Multicut
Ahmed Abbas, Paul Swoboda
CLUSTSEG: Clustering for Universal Segmentation
James Chenhao Liang, Tianfei Zhou, Dongfang Liu et al.
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning
Abdus Salam Azad, Izzeddin Gur, Jasper Emhoff et al.
Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D
Bo Qiang, Yuxuan Song, Minkai Xu et al.
CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design
Desi R. Ivanova, Joel Jennings, Tom Rainforth et al.
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis
Sanjay Kariyappa, Chuan Guo, Kiwan Maeng et al.
CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks
Jue Wang, Yucheng Lu, Binhang Yuan et al.
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
Nan Yin, Li Shen, Mengzhu Wang et al.
CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models
Zhiyuan Yu, Yuhao Wu, Ning Zhang et al.
Coder Reviewer Reranking for Code Generation
Tianyi Zhang, Tao Yu, Tatsunori Hashimoto et al.
CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis
Chaejeong Lee, Jayoung Kim, Noseong Park
Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates
Louis Sharrock, Christopher Nemeth
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.