Distribution Shift

Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions NeurIPS 2020 On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law NeurIPS 2020 Public Sentiment Drift Analysis Based on Hierarchical Variational Auto-encoder EMNLP 2020 REST: Performance Improvement of a Black Box Model via RL-Based Spatial Transformation AAAI 2020 Rethinking Importance Weighting for Deep Learning under Distribution Shift NeurIPS 2020 Robust causal inference under covariate shift via worst-case subpopulation treatment effects COLT 2020 Stable Prediction with Model Misspecification and Agnostic Distribution Shift AAAI 2020 Stochastic Optimization for Performative Prediction NeurIPS 2020 Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift NeurIPS 2019 Conformalized Quantile Regression NeurIPS 2019 Conformal Prediction Under Covariate Shift NeurIPS 2019 Differentially Private Distributed Data Summarization under Covariate Shift NeurIPS 2019 Distributionally Robust Semi-Supervised Learning for People-Centric Sensing AAAI 2019 Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift NeurIPS 2019 Hierarchical Optimal Transport for Multimodal Distribution Alignment NeurIPS 2019 Investigating the effect of novel classes in semi-supervised learning ACML 2019 Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction EMNLP 2019 ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models NeurIPS 2019 On Target Shift in Adversarial Domain Adaptation AISTATS 2019 The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers NeurIPS 2019 To Annotate or Not? Predicting Performance Drop under Domain Shift EMNLP 2019 Toward a Characterization of Loss Functions for Distribution Learning NeurIPS 2019 Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss CVPR 2019 Distributionally Robust Graphical Models NeurIPS 2018 ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching NeurIPS 2017