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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
LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with Class TaxonomiesCode1
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies OthersCode1
Environment Inference for Invariant LearningCode1
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable FeaturesCode1
An Empirical Study of Training Self-Supervised Vision TransformersCode1
Exploring the Benefits of Vision Foundation Models for Unsupervised Domain AdaptationCode1
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
Generalization on the Unseen, Logic Reasoning and Degree CurriculumCode1
EMGBench: Benchmarking Out-of-Distribution Generalization and Adaptation for ElectromyographyCode1
A Policy-Guided Imitation Approach for Offline Reinforcement LearningCode1
BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial OptimizationCode1
Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution GeneralizationCode1
Empirical Study of PEFT techniques for Winter Wheat SegmentationCode1
Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?Code1
Domain-Specific Risk Minimization for Out-of-Distribution GeneralizationCode1
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
Environment-Aware Dynamic Graph Learning for Out-of-Distribution GeneralizationCode1
CARE: a Benchmark Suite for the Classification and Retrieval of EnzymesCode1
Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to GeneralizeCode1
FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model InterpolationCode1
FM2S: Towards Spatially-Correlated Noise Modeling in Zero-Shot Fluorescence Microscopy Image DenoisingCode1
From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based SelectionCode1
Diverse Weight Averaging for Out-of-Distribution GeneralizationCode1
Causal Transportability for Visual RecognitionCode1
Delving Deep into the Generalization of Vision Transformers under Distribution ShiftsCode1
Dataset Cartography: Mapping and Diagnosing Datasets with Training DynamicsCode1
Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution GeneralizationCode1
Does Invariant Graph Learning via Environment Augmentation Learn Invariance?Code1
Collaboration! Towards Robust Neural Methods for Routing ProblemsCode1
Graph Out-of-Distribution Generalization via Causal InterventionCode1
Distilling Large Vision-Language Model with Out-of-Distribution GeneralizabilityCode1
Rejecting Hallucinated State Targets during PlanningCode1
Assessing the Generalization Capacity of Pre-trained Language Models through Japanese Adversarial Natural Language InferenceCode1
Improved Regularization of Convolutional Neural Networks with CutoutCode1
Designing Network Design SpacesCode1
Context-Guided Diffusion for Out-of-Distribution Molecular and Protein DesignCode1
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case 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
Disentangled Generative Models for Robust Prediction of System DynamicsCode1
Is a Modular Architecture Enough?Code1
Dog-IQA: Standard-guided Zero-shot MLLM for Mix-grained Image Quality AssessmentCode1
Entity-Based Knowledge Conflicts in Question AnsweringCode1
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