distribution shift

Personalized Semantics Excitation for Federated Image Classification ICCV 2023 Prediction with Incomplete Data under Agnostic Mask Distribution Shift IJCAI 2023 Predictor-corrector algorithms for stochastic optimization under gradual distribution shift ICLR 2023 Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction EMNLP 2023 Probabilistic circuits that know what they don’t know UAI 2023 Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning ACL 2023 Provable Robustness against Wasserstein Distribution Shifts via Input Randomization ICLR 2023 PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning NeurIPS 2023 PyTAIL: An Open Source Tool for Interactive and Incremental Learning of NLP Models with Human in the Loop for Online Data EMNLP 2023 Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback ICCV 2023 RDumb: A simple approach that questions our progress in continual test-time adaptation NeurIPS 2023 Reining Generalization in Offline Reinforcement Learning via Representation Distinction NeurIPS 2023 Reliable learning in challenging environments NeurIPS 2023 RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability NeurIPS 2023 Revisiting adapters with adversarial training ICLR 2023 Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations NeurIPS 2023 RLSbench: Domain Adaptation Under Relaxed Label Shift ICML 2023 Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization CVPR 2023 Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection AAAI 2023 Robust Prompt Optimization for Large Language Models Against Distribution Shifts EMNLP 2023 Robust Test-Time Adaptation in Dynamic Scenarios CVPR 2023 Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights? ICML 2023 Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts CVPR 2023 SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank EMNLP 2023 Shifted PAUQ: Distribution shift in text-to-SQL EMNLP 2023