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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

On the Compositional Generalization Gap of In-Context Learning EMNLP 2022
What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment EMNLP 2022
Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding EMNLP 2022
Generalization Differences between End-to-End and Neuro-Symbolic Vision-Language Reasoning Systems EMNLP 2022
Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model EMNLP 2022
Features or Spurious Artifacts? Data-centric Baselines for Fair and Robust Hate Speech Detection NAACL 2022
Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift UAI 2022
Uncertainty-aware pseudo-labeling for quantum calculations UAI 2022
Towards IID representation learning and its application on biomedical data MIDL 2022
Causal Transportability for Visual Recognition CVPR 2022
Delving Deep Into the Generalization of Vision Transformers Under Distribution Shifts CVPR 2022
Model Agnostic Sample Reweighting for Out-of-Distribution Learning ICML 2022
Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs NIPS 2022
Learning Substructure Invariance for Out-of-Distribution Molecular Representations NIPS 2022
Learning Invariant Graph Representations for Out-of-Distribution Generalization NIPS 2022
Towards Principled Disentanglement for Domain Generalization CVPR 2022
Localized Adversarial Domain Generalization CVPR 2022
Compound Domain Generalization via Meta-Knowledge Encoding CVPR 2022
Okapi: Generalising Better by Making Statistical Matches Match NIPS 2022
When Does Group Invariant Learning Survive Spurious Correlations? NIPS 2022
LOG: Active Model Adaptation for Label-Efficient OOD Generalization NIPS 2022
Evaluating Out-of-Distribution Performance on Document Image Classifiers NIPS 2022
Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors NIPS 2022
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization NIPS 2022
Diverse Weight Averaging for Out-of-Distribution Generalization NIPS 2022