SOTAVerified

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
Fishr: Invariant Gradient Variances for Out-of-Distribution GeneralizationCode1
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies OthersCode1
Does Invariant Graph Learning via Environment Augmentation Learn Invariance?Code1
A Brief Introduction to Causal Inference in Machine LearningCode1
An Empirical Study of Training Self-Supervised Vision TransformersCode1
From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based SelectionCode1
Adapting to Distribution Shift by Visual Domain Prompt GenerationCode1
Generalization on the Unseen, Logic Reasoning and Degree CurriculumCode1
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization PerspectiveCode1
Discovering environments with XRMCode1
SCHA-VAE: Hierarchical Context Aggregation for Few-Shot GenerationCode1
Improved Regularization of Convolutional Neural Networks with CutoutCode1
Delving Deep into the Generalization of Vision Transformers under Distribution ShiftsCode1
Designing Network Design SpacesCode1
A Policy-Guided Imitation Approach for Offline Reinforcement LearningCode1
BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial OptimizationCode1
Deep Stable Learning 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
Disentangled Generative Models for Robust Prediction of System DynamicsCode1
CARE: a Benchmark Suite for the Classification and Retrieval of EnzymesCode1
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case GeneralizationCode1
Distilling Large Vision-Language Model with Out-of-Distribution GeneralizabilityCode1
How Far Can Transformers Reason? The Globality Barrier and Inductive ScratchpadCode1
Diverse Weight Averaging for Out-of-Distribution GeneralizationCode1
Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution GeneralizationCode1
Causal Transportability for Visual RecognitionCode1
Empirical Study of PEFT techniques for Winter Wheat SegmentationCode1
Environment Inference for Invariant LearningCode1
Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution GeneralizationCode1
EMGBench: Benchmarking Out-of-Distribution Generalization and Adaptation for ElectromyographyCode1
Graph Out-of-Distribution Generalization via Causal InterventionCode1
Invariance Principle Meets Information Bottleneck for Out-of-Distribution GeneralizationCode1
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic AugmentationCode1
Entity-Based Knowledge Conflicts in Question AnsweringCode1
Assessing the Generalization Capacity of Pre-trained Language Models through Japanese Adversarial Natural Language InferenceCode1
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution GeneralizationCode1
Dataset Cartography: Mapping and Diagnosing Datasets with Training DynamicsCode1
Dog-IQA: Standard-guided Zero-shot MLLM for Mix-grained Image Quality AssessmentCode1
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable FeaturesCode1
Contextual Vision Transformers for Robust Representation LearningCode1
Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RLCode1
Learning from Failure: Training Debiased Classifier from Biased ClassifierCode1
Discover and Mitigate Unknown Biases with Debiasing Alternate NetworksCode1
Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasksCode1
Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution GeneralizationCode1
H-ARC: A Robust Estimate of Human Performance on the Abstraction and Reasoning Corpus BenchmarkCode1
Show:102550
← PrevPage 2 of 11Next →

No leaderboard results yet.