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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

GDA: Generalized Diffusion for Robust Test-time Adaptation CVPR 2024
Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs NIPS 2024
Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data AAAI 2024
Is Programming by Example Solved by LLMs? NIPS 2024
Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization NIPS 2024
Mitigating Shortcuts in Language Models with Soft Label Encoding COLING 2024
Improving Generalization of Dynamic Graph Learning via Environment Prompt NIPS 2024
Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration NIPS 2024
CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes NIPS 2024
What Variables Affect Out-of-Distribution Generalization in Pretrained Models? NIPS 2024
Pointing Out the Shortcomings of Relation Extraction Models with Semantically Motivated Adversarials COLING 2024
Transfer CLIP for Generalizable Image Denoising CVPR 2024
Can Biases in ImageNet Models Explain Generalization? CVPR 2024
Improving Out-of-Distribution Generalization in Graphs via Hierarchical Semantic Environments CVPR 2024
The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning NIPS 2024
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration AAAI 2024
Teaching Small Language Models Reasoning through Counterfactual Distillation EMNLP 2024
Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks NIPS 2024
Optimistic Model Rollouts for Pessimistic Offline Policy Optimization AAAI 2024
Towards Reliable Learning in the Wild: Generalization and Adaptation AAAI 2024
Distilling Robustness into Natural Language Inference Models with Domain-Targeted Augmentation ACL 2024
It Ain’t That Bad: Understanding the Mysterious Performance Drop in OOD Generalization for Generative Transformer Models IJCAI 2024
InstructEdit: Instruction-Based Knowledge Editing for Large Language Models IJCAI 2024
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights NIPS 2024
Out-of-distribution generalisation in spoken language understanding INTERSPEECH 2024