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Out-of-Distribution Generalization

Papers

Showing 51100 of 516 papers

TitleStatusHype
AugMix: A Simple Data Processing Method to Improve Robustness and UncertaintyCode1
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded AugmentationsCode1
Learning Divergence Fields for Shift-Robust Graph RepresentationsCode1
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies OthersCode1
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable FeaturesCode1
FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model InterpolationCode1
An Empirical Study of Training Self-Supervised Vision TransformersCode1
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization PerspectiveCode1
Adapting to Distribution Shift by Visual Domain Prompt GenerationCode1
Linear unit-tests for invariance discoveryCode1
Looking Inward: Language Models Can Learn About Themselves by IntrospectionCode1
Entity-Based Knowledge Conflicts in Question AnsweringCode1
BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial OptimizationCode1
EMGBench: Benchmarking Out-of-Distribution Generalization and Adaptation for ElectromyographyCode1
Environment-Aware Dynamic Graph Learning for Out-of-Distribution GeneralizationCode1
Dog-IQA: Standard-guided Zero-shot MLLM for Mix-grained Image Quality AssessmentCode1
Does Invariant Graph Learning via Environment Augmentation Learn Invariance?Code1
A Policy-Guided Imitation Approach for Offline Reinforcement LearningCode1
Empirical Study of PEFT techniques for Winter Wheat SegmentationCode1
Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge GraphsCode1
Broken Neural Scaling LawsCode1
Unleashing the Power of Graph Data Augmentation on Covariate Distribution ShiftCode1
Exploring the Benefits of Vision Foundation Models for Unsupervised Domain AdaptationCode1
CARE: a Benchmark Suite for the Classification and Retrieval of EnzymesCode1
Fishr: Invariant Gradient Variances for Out-of-Distribution GeneralizationCode1
FM2S: Towards Spatially-Correlated Noise Modeling in Zero-Shot Fluorescence Microscopy Image DenoisingCode1
Generative Data Augmentation for Commonsense ReasoningCode1
Generalizable deep learning for photoplethysmography-based blood pressure estimation -- A Benchmarking StudyCode1
Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution GeneralizationCode1
Causal Transportability for Visual RecognitionCode1
Dataset Cartography: Mapping and Diagnosing Datasets with Training DynamicsCode1
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic AugmentationCode1
Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution GeneralizationCode1
Deep Stable Learning for Out-Of-Distribution GeneralizationCode1
Collaboration! Towards Robust Neural Methods for Routing ProblemsCode1
Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution GeneralizationCode1
Diverse Weight Averaging for Out-of-Distribution GeneralizationCode1
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case GeneralizationCode1
Assessing the Generalization Capacity of Pre-trained Language Models through Japanese Adversarial Natural Language InferenceCode1
Improving robustness against common corruptions by covariate shift adaptationCode1
Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?Code1
Context-Guided Diffusion for Out-of-Distribution Molecular and Protein DesignCode1
Domain-Specific Risk Minimization for Out-of-Distribution GeneralizationCode1
Contextual Vision Transformers for Robust Representation LearningCode1
Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RLCode1
Discover and Mitigate Unknown Biases with Debiasing Alternate NetworksCode1
Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured ReviewCode1
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution GeneralizationCode1
Geometric Deep Learning for Structure-Based Drug Design: A SurveyCode1
Environment Inference for Invariant LearningCode1
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