conftrace_

distribution shift

722 papers

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Also known as

DS

Co-occurring keywords

domain adaptation (4595) domain generalization (1522) out-of-distribution detection (617) test-time adaptation (312) out-of-distribution generalization (408) causal inference (1630) representation learning (6206) transfer learning (5449) covariate shift (157) graph neural network (3962)

Papers

An Unbiased Risk Estimator for Learning with Augmented Classes NIPS 2020
Single Point Transductive Prediction ICML 2020
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective CVPR 2020
Self-Supervised Learning for Generalizable Out-of-Distribution Detection AAAI 2020
Stable Learning via Sample Reweighting AAAI 2020
REST: Performance Improvement of a Black Box Model via RL-Based Spatial Transformation AAAI 2020
The Pitfalls of Simplicity Bias in Neural Networks NIPS 2020
Causal Discovery from Multiple Data Sets with Non-Identical Variable Sets AAAI 2020
To Annotate or Not? Predicting Performance Drop under Domain Shift EMNLP 2019
ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models NIPS 2019
Distributionally Adversarial Attack AAAI 2019
Distributionally Robust Language Modeling IJCNLP 2019
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing AAAI 2019
Provably Efficient Q-learning with Function Approximation via Distribution Shift Error Checking Oracle NIPS 2019
Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual EMNLP 2019
Data-Driven Approach to Multiple-Source Domain Adaptation AISTATS 2019
Bias Reduction via End-to-End Shift Learning: Application to Citizen Science AAAI 2019
Information-Theoretic Considerations in Batch Reinforcement Learning ICML 2019
Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport AISTATS 2019
Addressing Model Vulnerability to Distributional Shifts Over Image Transformation Sets ICCV 2019
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift NIPS 2019
The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models NAACL 2018
Does Distributionally Robust Supervised Learning Give Robust Classifiers? ICML 2018
Domain Adaptation with Adversarial Training and Graph Embeddings ACL 2018
Detecting and Correcting for Label Shift with Black Box Predictors ICML 2018