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distribution shift

985 papers

DS

Papers

Variance Minimization in the Wasserstein Space for Invariant Causal Prediction AISTATS 2022 ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints NeurIPS 2022 Vision Transformers Are Robust Learners AAAI 2022 What Can Transformers Learn In-Context? A Case Study of Simple Function Classes NeurIPS 2022 What Do We Mean by Generalization in Federated Learning? ICLR 2022 Wide Neural Networks Forget Less Catastrophically ICML 2022 Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time NeurIPS 2022 Accuracy on the Line: on the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization ICML 2021 Accurate and Robust Feature Importance Estimation under Distribution Shifts AAAI 2021 Adaptive Conformal Inference Under Distribution Shift NeurIPS 2021 Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval CVPR 2021 Adaptive Risk Minimization: Learning to Adapt to Domain Shift NeurIPS 2021 An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers NeurIPS 2021 An Information-theoretic Approach to Distribution Shifts NeurIPS 2021 A nonparametric method for gradual change problems with statistical guarantees NeurIPS 2021 Approximate Distributionally Robust Nonlinear Optimization with Application to Model Predictive Control: A Functional Approach L4DC 2021 AugMax: Adversarial Composition of Random Augmentations for Robust Training NeurIPS 2021 AutoDO: Robust AutoAugment for Biased Data With Label Noise via Scalable Probabilistic Implicit Differentiation CVPR 2021 Bayesian Adaptation for Covariate Shift NeurIPS 2021 Can Transformers Jump Around Right in Natural Language? Assessing Performance Transfer from SCAN EMNLP 2021 Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning NeurIPS 2021 Conservative Data Sharing for Multi-Task Offline Reinforcement Learning NeurIPS 2021 Conservative Objective Models for Effective Offline Model-Based Optimization ICML 2021 Contemplating Real-World Object Classification ICLR 2021 CrossNorm and SelfNorm for Generalization Under Distribution Shifts ICCV 2021