Papers
Burst-Dependent Plasticity and Dendritic Amplification Support Target-Based Learning and Hierarchical Imitation Learning
Cristiano Capone, Cosimo Lupo, Paolo Muratore et al.
ButterflyFlow: Building Invertible Layers with Butterfly Matrices
Chenlin Meng, Linqi Zhou, Kristy Choi et al.
Byzantine Machine Learning Made Easy By Resilient Averaging of Momentums
Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta et al.
C*-algebra Net: A New Approach Generalizing Neural Network Parameters to C*-algebra
Yuka Hashimoto, Zhao Wang, Tomoko Matsui
Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation
Volodymyr Kuleshov, Shachi Deshpande
Calibrated Learning to Defer with One-vs-All Classifiers
Rajeev Verma, Eric Nalisnick
Cascaded Gaps: Towards Logarithmic Regret for Risk-Sensitive Reinforcement Learning
Yingjie Fei, Ruitu Xu
Causal Conceptions of Fairness and their Consequences
Hamed Nilforoshan, Johann D Gaebler, Ravi Shroff et al.
Causal Dynamics Learning for Task-Independent State Abstraction
Zizhao Wang, Xuesu Xiao, Zifan Xu et al.
Causal Imitation Learning under Temporally Correlated Noise
Gokul Swamy, Sanjiban Choudhury, Drew Bagnell et al.
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.