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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

Neural Algorithmic Reasoning with Causal Regularisation ICML 2023
Spuriosity Didn’t Kill the Classifier: Using Invariant Predictions to Harness Spurious Features NIPS 2023
Test-time Adaptation with Slot-Centric Models ICML 2023
Counterfactual Active Learning for Out-of-Distribution Generalization ACL 2023
DynaDojo: An Extensible Platform for Benchmarking Scaling in Dynamical System Identification NIPS 2023
Generalization through Diversity: Improving Unsupervised Environment Design IJCAI 2023
Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization ICML 2023
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization ICML 2023
UM6P at SemEval-2023 Task 12: Out-Of-Distribution Generalization Method for African Languages Sentiment Analysis ACL 2023
RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization NIPS 2023
Neural Algorithmic Reasoning Without Intermediate Supervision NIPS 2023
BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial Optimization NIPS 2023
CLIPood: Generalizing CLIP to Out-of-Distributions ICML 2023
Explanation-based Finetuning Makes Models More Robust to Spurious Cues ACL 2023
UM6P at SemEval-2023 Task 12: Out-Of-Distribution Generalization Method for African Languages Sentiment Analysis SEMEVAL 2023
A Causal View of Entity Bias in (Large) Language Models EMNLP 2023
Towards Distribution-shift Robust Text Classification of Emotional Content ACL 2023
Data Augmentations for Improved (Large) Language Model Generalization NIPS 2023
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization NIPS 2023
Debias NLU Datasets via Training-free Perturbations EMNLP 2023
Out-of-Distribution Generalization by Neural-Symbolic Joint Training AAAI 2023
Reassessing Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization EACL 2023
TraVLR: Now You See It, Now You Don’t! A Bimodal Dataset for Evaluating Visio-Linguistic Reasoning EACL 2023
Towards Constituting Mathematical Structures for Learning to Optimize ICML 2023
Guide the Learner: Controlling Product of Experts Debiasing Method Based on Token Attribution Similarities EACL 2023