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out-of-distribution generalization

504 papers

OOD GENERALIZATION

Papers

Invariant Causal Representation Learning for Out-of-Distribution Generalization ICLR 2022 Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers EMNLP 2022 Is a Modular Architecture Enough? NeurIPS 2022 Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding EMNLP 2022 Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs NeurIPS 2022 Learning Invariant Graph Representations for Out-of-Distribution Generalization NeurIPS 2022 Learning Modular Structures That Generalize Out-of-Distribution (Student Abstract) AAAI 2022 Learning Representations that Enable Generalization in Assistive Tasks CoRL 2022 Learning Substructure Invariance for Out-of-Distribution Molecular Representations NeurIPS 2022 Less Is Better: Recovering Intended-Feature Subspace to Robustify NLU Models COLING 2022 Localized Adversarial Domain Generalization CVPR 2022 LOG: Active Model Adaptation for Label-Efficient OOD Generalization NeurIPS 2022 MoCoDA: Model-based Counterfactual Data Augmentation NeurIPS 2022 Model Agnostic Sample Reweighting for Out-of-Distribution Learning ICML 2022 Models Out of Line: A Fourier Lens on Distribution Shift Robustness NeurIPS 2022 Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization NeurIPS 2022 Neural Attentive Circuits NeurIPS 2022 Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification EMNLP 2022 Okapi: Generalising Better by Making Statistical Matches Match NeurIPS 2022 On the Compositional Generalization Gap of In-Context Learning EMNLP 2022 OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization CVPR 2022 OoDHDR-Codec: Out-of-Distribution Generalization for HDR Image Compression AAAI 2022 OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs NeurIPS 2022 Out-of-Distribution Generalization With Causal Invariant Transformations CVPR 2022 Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms AAAI 2022