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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

Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets ACL 2022
An Online Learning Approach to Interpolation and Extrapolation in Domain Generalization AISTATS 2022
Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires ACL 2022
Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification EMNLP 2022
Causal Attention for Unbiased Visual Recognition ICCV 2021
Unshuffling Data for Improved Generalization in Visual Question Answering ICCV 2021
Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions AISTATS 2021
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis IJCNLP 2021
Quantifying and Improving Transferability in Domain Generalization NIPS 2021
Increasing Robustness to Spurious Correlations using Forgettable Examples EACL 2021
Learning to Perturb Word Embeddings for Out-of-distribution QA IJCNLP 2021
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization NIPS 2021
Causal Hidden Markov Model for Time Series Disease Forecasting CVPR 2021
Separating Skills and Concepts for Novel Visual Question Answering CVPR 2021
Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization ICML 2021
Accuracy on the Line: on the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization ICML 2021
Investigating the Effect of Natural Language Explanations on Out-of-Distribution Generalization in Few-shot NLI EMNLP 2021
Assessing the Generalization Capacity of Pre-trained Language Models through Japanese Adversarial Natural Language Inference EMNLP 2021
Generative Interventions for Causal Learning CVPR 2021
Learning to Perturb Word Embeddings for Out-of-distribution QA ACL 2021
Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning ACL 2021
Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization ICML 2021
Deep Stable Learning for Out-of-Distribution Generalization CVPR 2021
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation AAAI 2021
HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalizability ACL 2021