distributional shift

Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks ACL 2023 CROP: Towards Distributional-Shift Robust Reinforcement Learning Using Compact Reshaped Observation Processing IJCAI 2023 Efficient Reinforcement Learning Through Trajectory Generation L4DC 2023 Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts NeurIPS 2023 Exploring Distributional Shifts in Large Language Models for Code Analysis EMNLP 2023 Internal Robust Representations for Domain Generalization AAAI 2023 Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection ACL 2023 Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts ICLR 2023 Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization ICLR 2023 One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning NeurIPS 2023 Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes ICLR 2023 Robust Bayesian Satisficing NeurIPS 2023 Sample Complexity for Distributionally Robust Learning under chi-square divergence JMLR 2023 Statistical Depth for Ranking and Characterizing Transformer-Based Text Embeddings EMNLP 2023 The s-value: evaluating stability with respect to distributional shifts NeurIPS 2023 Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning NeurIPS 2023 Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP EMNLP 2023 Constrained Offline Policy Optimization ICML 2022 DASCO: Dual-Generator Adversarial Support Constrained Offline Reinforcement Learning NeurIPS 2022 Data-Driven Offline Decision-Making via Invariant Representation Learning NeurIPS 2022 How to Leverage Unlabeled Data in Offline Reinforcement Learning ICML 2022 In the Eye of the Beholder: Robust Prediction with Causal User Modeling NeurIPS 2022 Know Thy Strengths: Comprehensive Dialogue State Tracking Diagnostics EMNLP 2022 Neural Mean Discrepancy for Efficient Out-of-Distribution Detection CVPR 2022 Offline Reinforcement Learning with Implicit Q-Learning ICLR 2022