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out-of-distribution generalization

504 papers

OOD GENERALIZATION

Papers

Separating Skills and Concepts for Novel Visual Question Answering CVPR 2021 Siamese Network with wav2vec Feature for Spoofing Speech Detection Interspeech 2021 Size-Invariant Graph Representations for Graph Classification Extrapolations ICML 2021 SMART: A Situation Model for Algebra Story Problems via Attributed Grammar AAAI 2021 The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization ICCV 2021 The Risks of Invariant Risk Minimization ICLR 2021 Towards a Theoretical Framework of Out-of-Distribution Generalization NeurIPS 2021 Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models NAACL 2021 Towards robust vision by multi-task learning on monkey visual cortex NeurIPS 2021 Uncertainty-Guided Model Generalization to Unseen Domains CVPR 2021 Understanding the failure modes of out-of-distribution generalization ICLR 2021 Unshuffling Data for Improved Generalization in Visual Question Answering ICCV 2021 What Will it Take to Fix Benchmarking in Natural Language Understanding? NAACL 2021 Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics EMNLP 2020 Generative Data Augmentation for Commonsense Reasoning EMNLP 2020 Improving Compositional Generalization in Semantic Parsing EMNLP 2020 Improving robustness against common corruptions by covariate shift adaptation NeurIPS 2020 Joint Training with Semantic Role Labeling for Better Generalization in Natural Language Inference ACL 2020 Learning to Contrast the Counterfactual Samples for Robust Visual Question Answering EMNLP 2020 Learning to Learn Single Domain Generalization CVPR 2020 Linguistically-Informed Transformations (LIT): A Method for Automatically Generating Contrast Sets EMNLP 2020 MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering EMNLP 2020 Neural Unsupervised Domain Adaptation in NLP—A Survey COLING 2020 Open Graph Benchmark: Datasets for Machine Learning on Graphs NeurIPS 2020 Synbols: Probing Learning Algorithms with Synthetic Datasets NeurIPS 2020