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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

Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization NIPS 2022
Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment NIPS 2022
Sparsity in Continuous-Depth Neural Networks NIPS 2022
Models Out of Line: A Fourier Lens on Distribution Shift Robustness NIPS 2022
Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective COLING 2022
Rich Feature Construction for the Optimization-Generalization Dilemma ICML 2022
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization ICML 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs NIPS 2022
Threat Scenarios and Best Practices to Detect Neural Fake News COLING 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning NIPS 2022
A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models NIPS 2022
Learning Representations that Enable Generalization in Assistive Tasks CORL 2022
Symbolic Brittleness in Sequence Models: On Systematic Generalization in Symbolic Mathematics AAAI 2022
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms AAAI 2022
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization CVPR 2022
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions With Superior OOD Generalization CVPR 2022
Less Is Better: Recovering Intended-Feature Subspace to Robustify NLU Models COLING 2022
ER-Test: Evaluating Explanation Regularization Methods for Language Models EMNLP 2022
Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective CVPR 2022
Causality Inspired Representation Learning for Domain Generalization CVPR 2022
A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization ICML 2022
CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation EMNLP 2022
Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers EMNLP 2022
Learning Modular Structures That Generalize Out-of-Distribution (Student Abstract) AAAI 2022
Interventional Training for Out-Of-Distribution Natural Language Understanding EMNLP 2022