Papers
Causal Inference Through the Structural Causal Marginal Problem
Luigi Gresele, Julius Von Kügelgen, Jonas Kübler et al.
Causal structure-based root cause analysis of outliers
Kailash Budhathoki, Lenon Minorics, Patrick Bloebaum et al.
Causal Transformer for Estimating Counterfactual Outcomes
Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
CerDEQ: Certifiable Deep Equilibrium Model
Mingjie Li, Yisen Wang, Zhouchen Lin
Certified Adversarial Robustness Under the Bounded Support Set
Yiwen Kou, Qinyuan Zheng, Yisen Wang
Certified Neural Network Watermarks with Randomized Smoothing
Arpit Bansal, Ping-Yeh Chiang, Michael J Curry et al.
Certified Robustness Against Natural Language Attacks by Causal Intervention
Haiteng Zhao, Chang Ma, Xinshuai Dong et al.
Certifying Out-of-Domain Generalization for Blackbox Functions
Maurice G Weber, Linyi Li, Boxin Wang et al.
Channel Importance Matters in Few-Shot Image Classification
Xu Luo, Jing Xu, Zenglin Xu
Characterizing and Overcoming the Greedy Nature of Learning in Multi-modal Deep Neural Networks
Nan Wu, Stanislaw Jastrzebski, Kyunghyun Cho et al.
Choosing Answers in Epsilon-Best-Answer Identification for Linear Bandits
Marc Jourdan, Rémy Degenne
CITRIS: Causal Identifiability from Temporal Intervened Sequences
Phillip Lippe, Sara Magliacane, Sindy Löwe et al.
Class-Imbalanced Semi-Supervised Learning with Adaptive Thresholding
Lan-Zhe Guo, Yu-Feng Li
Cliff Diving: Exploring Reward Surfaces in Reinforcement Learning Environments
Ryan Sullivan, Jordan K Terry, Benjamin Black et al.
Closed-Form Diffeomorphic Transformations for Time Series Alignment
Iñigo Martinez, Elisabeth Viles, Igor G. Olaizola
C-MinHash: Improving Minwise Hashing with Circulant Permutation
Xiaoyun Li, Ping Li
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets
Tianlong Chen, Xuxi Chen, Xiaolong Ma et al.
COAT: Measuring Object Compositionality in Emergent Representations
Sirui Xie, Ari S Morcos, Song-Chun Zhu et al.
Coin Flipping Neural Networks
Yuval Sieradzki, Nitzan Hodos, Gal Yehuda et al.
COLA: Consistent Learning with Opponent-Learning Awareness
Timon Willi, Alistair Hp Letcher, Johannes Treutlein et al.
Collaboration of Experts: Achieving 80% Top-1 Accuracy on ImageNet with 100M FLOPs
Yikang Zhang, Zhuo Chen, Zhao Zhong
Combining Diverse Feature Priors
Saachi Jain, Dimitris Tsipras, Aleksander Madry
Communicating via Markov Decision Processes
Samuel Sokota, Christian A Schroeder De Witt, Maximilian Igl et al.
Communication-Efficient Adaptive Federated Learning
Yujia Wang, Lu Lin, Jinghui Chen