Papers
8,340 papers found
Causal Structure Learning for Latent Intervened Non-stationary Data
Chenxi Liu, Kun Kuang
Cell-Free Latent Go-Explore
Quentin Gallouédec, Emmanuel Dellandrea
Certified Robust Neural Networks: Generalization and Corruption Resistance
Amine Bennouna, Ryan Lucas, Bart Van Parys
Certifying Ensembles: A General Certification Theory with S-Lipschitzness
Aleksandar Petrov, Francisco Eiras, Amartya Sanyal et al.
Change is Hard: A Closer Look at Subpopulation Shift
Yuzhe Yang, Haoran Zhang, Dina Katabi et al.
Chemically Transferable Generative Backmapping of Coarse-Grained Proteins
Soojung Yang, Rafael Gomez-Bombarelli
CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets
Zachary Novack, Julian Mcauley, Zachary Chase Lipton et al.
ChiPFormer: Transferable Chip Placement via Offline Decision Transformer
Yao Lai, Jinxin Liu, Zhentao Tang et al.
CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
Yansen Wang, Xinyang Jiang, Kan Ren et al.
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