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distribution shift

985 papers

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Also known as

DS

Co-occurring keywords · papers mentioning both

domain adaptation (174) domain generalization (160) test-time adaptation (78) out-of-distribution detection (74) out-of-distribution generalization (65) representation learning (48) causal inference (47) transfer learning (39) offline reinforcement learning (37) graph neural network (36)

Papers

Distributionally Robust Optimization with Bias and Variance Reduction ICLR 2024 Distributionally Robust Performative Prediction NeurIPS 2024 Distribution Shifts Are Bottlenecks: Extensive Evaluation for Grounding Language Models to Knowledge Bases EACL 2024 Does Progress On Object Recognition Benchmarks Improve Generalization on Crowdsourced, Global Data? ICLR 2024 Domain Gap Embeddings for Generative Dataset Augmentation CVPR 2024 Domain-wise Data Acquisition to Improve Performance under Distribution Shift ICML 2024 Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data NeurIPS 2024 DriftWatch: A Tool that Automatically Detects Data Drift and Extracts Representative Examples Affected by Drift NAACL 2024 Dual-Personalizing Adapter for Federated Foundation Models NeurIPS 2024 Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models NeurIPS 2024 Efficient Discrepancy Testing for Learning with Distribution Shift NeurIPS 2024 Efficient imitation learning with conservative world models L4DC 2024 Efficient Test-Time Adaptation of Vision-Language Models CVPR 2024 Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift AAAI 2024 Energy-based Epistemic Uncertainty for Graph Neural Networks NeurIPS 2024 Enhancing Distributional Stability among Sub-populations AISTATS 2024 Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling ICLR 2024 Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting NeurIPS 2024 Evaluating the fairness of task-adaptive pretraining on unlabeled test data before few-shot text classification EMNLP 2024 Examining the robustness of LLM evaluation to the distributional assumptions of benchmarks ACL 2024 Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection NeurIPS 2024 Fact Checking Beyond Training Set NAACL 2024 Fair Participation via Sequential Policies AAAI 2024 Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning NeurIPS 2024 Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize ICML 2024