distribution shift

Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning AAAI 2024 Weakly-supervised Audio Separation via Bi-modal Semantic Similarity ICLR 2024 What Makes Pre-Trained Visual Representations Successful for Robust Manipulation? CoRL 2024 When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets EACL 2024 When Model Meets New Normals: Test-Time Adaptation for Unsupervised Time-Series Anomaly Detection AAAI 2024 Your Transferability Barrier is Fragile: Free-Lunch for Transferring the Non-Transferable Learning CVPR 2024 A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP) NeurIPS 2023 A constrained Bayesian approach to out-of-distribution prediction UAI 2023 A Contrastive Approach to Online Change Point Detection AISTATS 2023 ActMAD: Activation Matching To Align Distributions for Test-Time-Training CVPR 2023 Actor-Critic Alignment for Offline-to-Online Reinforcement Learning ICML 2023 Adaptation Augmented Model-based Policy Optimization JMLR 2023 Adaptive Calibrator Ensemble: Navigating Test Set Difficulty in Out-of-Distribution Scenarios ICCV 2023 Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective NeurIPS 2023 Adaptive Reward Shifting Based on Behavior Proximity for Offline Reinforcement Learning IJCAI 2023 Adversarial Learning for Feature Shift Detection and Correction NeurIPS 2023 A Large-Scale Robustness Analysis of Video Action Recognition Models CVPR 2023 (Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy NeurIPS 2023 An Equivalence Analysis of Binary Quantification Methods AAAI 2023 An Invariant Learning Characterization of Controlled Text Generation ACL 2023 Anomaly Detection Under Distribution Shift ICCV 2023 Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents ACL 2023 Are Sample-Efficient NLP Models More Robust? ACL 2023 Auditing Fairness by Betting NeurIPS 2023 A Unified Framework for Robustness on Diverse Sampling Errors ICCV 2023