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out-of-distribution generalization

408 papers

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Also known as

OOD GENERALIZATION

Co-occurring keywords

domain generalization (1522) distribution shift (722) representation learning (6206) spurious correlation (279) causal inference (1630) large language model (13587) graph neural network (3962) domain adaptation (4595) transfer learning (5449) data augmentation (3052)

Papers

Debiasing Methods in Natural Language Understanding Make Bias More Accessible EMNLP 2021
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models NAACL 2021
Improved OOD Generalization via Adversarial Training and Pretraing ICML 2021
Neural Sequence-to-grid Module for Learning Symbolic Rules AAAI 2021
Mitigation of Diachronic Bias in Fake News Detection Dataset EMNLP 2021
NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization ICCV 2021
Representation Learning From Videos In-the-Wild: An Object-Centric Approach WACV 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization IJCAI 2021
Gradient Starvation: A Learning Proclivity in Neural Networks NIPS 2021
Are Transformers more robust than CNNs? NIPS 2021
Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset ACL 2021
A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning NIPS 2021
Size-Invariant Graph Representations for Graph Classification Extrapolations ICML 2021
Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess NIPS 2021
What Will it Take to Fix Benchmarking in Natural Language Understanding? NAACL 2021
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization ICCV 2021
Greedy Gradient Ensemble for Robust Visual Question Answering ICCV 2021
Neural Unsupervised Domain Adaptation in NLP—A Survey COLING 2020
Generative Data Augmentation for Commonsense Reasoning EMNLP 2020
Improving robustness against common corruptions by covariate shift adaptation NIPS 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs NIPS 2020
Learning to Contrast the Counterfactual Samples for Robust Visual Question Answering EMNLP 2020
Linguistically-Informed Transformations (LIT): A Method for Automatically Generating Contrast Sets EMNLP 2020
Learning to Learn Single Domain Generalization CVPR 2020
MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering EMNLP 2020