conftrace_

data corruption

14 papers

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Co-occurring keywords

offline reinforcement learning (492) robust training (59) robust reinforcement learning (42) corruption robustness (33) algorithmic fairness (284) adversarial robustness (1341) robust optimization (307) federated learning (1333) uncertainty estimation (648) data quality (130)

Papers

Enhancing Robustness of Offline Reinforcement Learning Under Data Corruption via Sharpness-Aware Minimization (Student Abstract) AAAI 2026
Enhancing Sampling Protocol for Point Cloud Classification Against Corruptions IJCAI 2025
Corrupted but Not Broken: Understanding and Mitigating the Negative Impacts of Corrupted Data in Visual Instruction Tuning EMNLP 2025
Corruption-Robust Offline Two-Player Zero-Sum Markov Games AISTATS 2024
Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption AAAI 2024
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions NIPS 2024
Robust Heterogeneous Federated Learning under Data Corruption ICCV 2023
Wind Prediction under Random Data Corruption (Student Abstract) AAAI 2022
Fairness-Aware PAC Learning from Corrupted Data JMLR 2022
How Does Data Corruption Affect Natural Language Understanding Models? A Study on GLUE datasets NAACL 2022
Observation-Free Attacks on Stochastic Bandits NIPS 2021
Sample Selection for Fair and Robust Training NIPS 2021
Security Analysis of Safe and Seldonian Reinforcement Learning Algorithms NIPS 2020
Robust Federated Learning via Collaborative Machine Teaching AAAI 2020