Papers
Causal Imitability Under Context-Specific Independence Relations
Fateme Jamshidi, Sina Akbari, Negar Kiyavash
Causal Interpretation of Self-Attention in Pre-Trained Transformers
Raanan Y. Rohekar, Yaniv Gurwicz, Shami Nisimov
Causal normalizing flows: from theory to practice
Adrián Javaloy, Pablo Sanchez-Martin, Isabel Valera
Cause-Effect Inference in Location-Scale Noise Models: Maximum Likelihood vs. Independence Testing
Xiangyu Sun, Oliver Schulte
Causes and Effects of Unanticipated Numerical Deviations in Neural Network Inference Frameworks
Alex Schlögl, Nora Hofer, Rainer Böhme
CBD: A Certified Backdoor Detector Based on Local Dominant Probability
Zhen J. Xiang, Zidi Xiong, Bo Li
C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder
Xiaoyu Liu, Jiaxin Yuan, Bang An et al.
CEIL: Generalized Contextual Imitation Learning
Jinxin Liu, Li He, Yachen Kang et al.
CELLE-2: Translating Proteins to Pictures and Back with a Bidirectional Text-to-Image Transformer
Emaad Khwaja, Yun Song, Aaron Agarunov et al.
Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback
TaeHo Yoon, Kibeom Myoung, Keon Lee et al.
Certifiably Robust Graph Contrastive Learning
Minhua Lin, Teng Xiao, Enyan Dai et al.
Certification of Distributional Individual Fairness
Matthew Wicker, Vihari Piratla, Adrian Weller
Certified Minimax Unlearning with Generalization Rates and Deletion Capacity
Jiaqi Liu, Jian Lou, Zhan Qin et al.
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization
Mahyar Fazlyab, Taha Entesari, Aniket Roy et al.
C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models
Yuzhen Huang, Yuzhuo Bai, Zhihao Zhu et al.
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models
Pan Lu, Baolin Peng, Hao Cheng et al.
CHAMMI: A benchmark for channel-adaptive models in microscopy imaging
Zitong Sam Chen, Chau Pham, Siqi Wang et al.
Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception
Anurag Ghosh, Vaibhav Balloli, Akshay Nambi et al.
Change point detection and inference in multivariate non-parametric models under mixing conditions
Carlos Misael Madrid Padilla, Haotian Xu, Daren Wang et al.
Characteristic Circuits
Zhongjie Yu, Martin Trapp, Kristian Kersting
Characterization of Overfitting in Robust Multiclass Classification
Jingyuan Xu, Weiwei Liu
Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond
Oleg Platonov, Denis Kuznedelev, Artem Babenko et al.
Characterizing Out-of-Distribution Error via Optimal Transport
Yuzhe Lu, Yilong Qin, Runtian Zhai et al.
Characterizing the Impacts of Semi-supervised Learning for Weak Supervision
Jeffrey Li, Jieyu Zhang, Ludwig Schmidt et al.