SOTAVerified

Out-of-Distribution Generalization

Papers

Showing 101150 of 516 papers

TitleStatusHype
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable FeaturesCode1
PromptStyler: Prompt-driven Style Generation for Source-free Domain GeneralizationCode1
AugMix: A Simple Data Processing Method to Improve Robustness and UncertaintyCode1
Dataset Cartography: Mapping and Diagnosing Datasets with Training DynamicsCode1
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded AugmentationsCode1
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic AugmentationCode1
RL-ViGen: A Reinforcement Learning Benchmark for Visual GeneralizationCode1
Robust Object Detection via Instance-Level Temporal Cycle ConfusionCode1
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies OthersCode1
Generalization on the Unseen, Logic Reasoning and Degree CurriculumCode1
Diverse Weight Averaging for Out-of-Distribution GeneralizationCode1
Deep Stable Learning for Out-Of-Distribution GeneralizationCode1
A Brief Introduction to Causal Inference in Machine LearningCode1
Synbols: Probing Learning Algorithms with Synthetic DatasetsCode1
Delving Deep into the Generalization of Vision Transformers under Distribution ShiftsCode1
Designing Network Design SpacesCode1
The Causal Chambers: Real Physical Systems as a Testbed for AI MethodologyCode1
The Connection between Out-of-Distribution Generalization and Privacy of ML ModelsCode1
Adapting to Distribution Shift by Visual Domain Prompt GenerationCode1
Discover and Mitigate Unknown Biases with Debiasing Alternate NetworksCode1
Discovering environments with XRMCode1
Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning TasksCode1
Disentangled Generative Models for Robust Prediction of System DynamicsCode1
Towards Robust Classification Model by Counterfactual and Invariant Data GenerationCode1
Distilling Large Vision-Language Model with Out-of-Distribution GeneralizabilityCode1
Towards Unified and Effective Domain GeneralizationCode1
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case GeneralizationCode1
Entity-Based Knowledge Conflicts in Question AnsweringCode1
Generative Interventions for Causal LearningCode1
Generalizable deep learning for photoplethysmography-based blood pressure estimation -- A Benchmarking StudyCode1
Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?Code1
Does Invariant Graph Learning via Environment Augmentation Learn Invariance?Code1
Dog-IQA: Standard-guided Zero-shot MLLM for Mix-grained Image Quality AssessmentCode1
Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution GeneralizationCode1
BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial OptimizationCode1
H-ARC: A Robust Estimate of Human Performance on the Abstraction and Reasoning Corpus BenchmarkCode1
Domain-Specific Risk Minimization for Out-of-Distribution GeneralizationCode1
A Policy-Guided Imitation Approach for Offline Reinforcement LearningCode1
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustnessCode1
Improved Regularization of Convolutional Neural Networks with CutoutCode1
Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge GraphsCode1
Improving robustness against common corruptions by covariate shift adaptationCode1
Graph Out-of-Distribution Generalization via Causal InterventionCode1
Empirical Study of PEFT techniques for Winter Wheat SegmentationCode1
Unleashing the Power of Graph Data Augmentation on Covariate Distribution ShiftCode1
Environment-Aware Dynamic Graph Learning for Out-of-Distribution GeneralizationCode1
Is a Modular Architecture Enough?Code1
Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured ReviewCode1
CARE: a Benchmark Suite for the Classification and Retrieval of EnzymesCode1
Optimizing Relevance Maps of Vision Transformers Improves RobustnessCode1
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