Out-of-Distribution Generalization

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Showing 401–425 of 516 papers

Title	Date	Tasks	Status
NeuralOOD: Improving Out-of-Distribution Generalization Performance with Brain-machine Fusion Learning Framework	Aug 27, 2024	Out-of-Distribution Generalization	—Unverified
NeurIPS 2024 ML4CFD Competition: Results and Retrospective Analysis	Jun 10, 2025	Computational EfficiencyOut-of-Distribution Generalization	—Unverified
NodeNAS: Node-Specific Graph Neural Architecture Search for Out-of-Distribution Generalization	Mar 4, 2025	Neural Architecture SearchOut-of-Distribution Generalization	—Unverified
OC-NMN: Object-centric Compositional Neural Module Network for Generative Visual Analogical Reasoning	Oct 28, 2023	Data AugmentationOut-of-Distribution Generalization	—Unverified
On the Benefits of Over-parameterization for Out-of-Distribution Generalization	Mar 26, 2024	Out-of-Distribution Generalization	—Unverified
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization	Dec 18, 2022	DiversityOut-of-Distribution Generalization	—Unverified
On the Generalization and Adaption Performance of Causal Models	Jun 9, 2022	Causal DiscoveryOut-of-Distribution Generalization	—Unverified
On the Generalization of Learned Structured Representations	Apr 25, 2023	Out-of-Distribution GeneralizationRepresentation Learning	—Unverified
On the Informativeness of Supervision Signals	Nov 2, 2022	Contrastive LearningFew-Shot Learning	—Unverified
On the Out-Of-Distribution Generalization of Multimodal Large Language Models	Feb 9, 2024	In-Context LearningOut-of-Distribution Generalization	—Unverified
On the Out-Of-Distribution Generalization of Large Multimodal Models	Jan 1, 2025	In-Context LearningOut-of-Distribution Generalization	—Unverified
On the Role of Depth and Looping for In-Context Learning with Task Diversity	Oct 29, 2024	DiversityIn-Context Learning	—Unverified
On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code	May 6, 2023	Continual LearningGeneral Knowledge	—Unverified
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network	Dec 7, 2021	Graph Neural NetworkOut-of-Distribution Generalization	—Unverified
Open Problem: Learning with Variational Objectives on Measures	Jun 20, 2023	Out-of-Distribution GeneralizationWeakly-supervised Learning	—Unverified
Out-of-Distribution Classification and Clustering	Jan 1, 2021	ClassificationClustering	—Unverified
Out-of-Distribution Generalization Analysis via Influence Function	Jan 21, 2021	Out-of-Distribution Generalization	—Unverified
Out-of-distribution generalization for learning quantum dynamics	Apr 21, 2022	Generalization BoundsOut-of-Distribution Generalization	—Unverified
Achieving and Understanding Out-of-Distribution Generalization in Systematic Reasoning in Small-Scale Transformers	Oct 7, 2022	Out-of-Distribution GeneralizationSystematic Generalization	—Unverified
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization	May 20, 2023	DiversityOut-of-Distribution Generalization	CodeCode Available
Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models	Dec 27, 2021	Out-of-Distribution GeneralizationRepresentation Learning	CodeCode Available
Model Compression for Domain Adaptation through Causal Effect Estimation	Jan 18, 2021	Domain AdaptationModel Compression	CodeCode Available
Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity	May 23, 2022	One-Shot LearningOut-of-Distribution Generalization	CodeCode Available
Learning Transductions and Alignments with RNN Seq2seq Models	Mar 13, 2023	Out-of-Distribution Generalization	CodeCode Available
Learning Invariant Visual Representations for Compositional Zero-Shot Learning	Jun 1, 2022	AttributeCompositional Zero-Shot Learning	CodeCode Available

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