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Out-of-Distribution Generalization

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TitleStatusHype
LIMO: Less is More for ReasoningCode5
LORE: Lagrangian-Optimized Robust Embeddings for Visual EncodersCode4
Deep Residual Learning for Image RecognitionCode4
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-ExpertsCode3
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to AdaptationCode2
AWT: Transferring Vision-Language Models via Augmentation, Weighting, and TransportationCode2
A Hard-to-Beat Baseline for Training-free CLIP-based AdaptationCode2
UnIVAL: Unified Model for Image, Video, Audio and Language TasksCode2
Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing ModelCode2
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference timeCode2
Learning Causally Invariant Representations for Out-of-Distribution Generalization on GraphsCode2
Learning Transferable Visual Models From Natural Language SupervisionCode2
Big Transfer (BiT): General Visual Representation LearningCode2
The Avengers: A Simple Recipe for Uniting Smaller Language Models to Challenge Proprietary GiantsCode1
From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based SelectionCode1
Generalizable deep learning for photoplethysmography-based blood pressure estimation -- A Benchmarking StudyCode1
Beyond Message Passing: Neural Graph Pattern MachineCode1
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and InsightsCode1
FM2S: Towards Spatially-Correlated Noise Modeling in Zero-Shot Fluorescence Microscopy Image DenoisingCode1
EMGBench: Benchmarking Out-of-Distribution Generalization and Adaptation for ElectromyographyCode1
LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model MergingCode1
Looking Inward: Language Models Can Learn About Themselves by IntrospectionCode1
Rejecting Hallucinated State Targets during PlanningCode1
Collaboration! Towards Robust Neural Methods for Routing ProblemsCode1
Dog-IQA: Standard-guided Zero-shot MLLM for Mix-grained Image Quality AssessmentCode1
Positional Attention: Expressivity and Learnability of Algorithmic ComputationCode1
H-ARC: A Robust Estimate of Human Performance on the Abstraction and Reasoning Corpus BenchmarkCode1
LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with Class TaxonomiesCode1
Context-Guided Diffusion for Out-of-Distribution Molecular and Protein DesignCode1
CARE: a Benchmark Suite for the Classification and Retrieval of EnzymesCode1
Exploring the Benefits of Vision Foundation Models for Unsupervised Domain AdaptationCode1
Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant LearningCode1
How Far Can Transformers Reason? The Globality Barrier and Inductive ScratchpadCode1
Learning Divergence Fields for Shift-Robust Graph RepresentationsCode1
Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to GeneralizeCode1
Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasksCode1
A Brief Introduction to Causal Inference in Machine LearningCode1
Adapting to Distribution Shift by Visual Domain Prompt GenerationCode1
In-Context Symbolic Regression: Leveraging Large Language Models for Function DiscoveryCode1
The Causal Chambers: Real Physical Systems as a Testbed for AI MethodologyCode1
N-Agent Ad Hoc TeamworkCode1
Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated ExpertsCode1
Improving out-of-distribution generalization in graphs via hierarchical semantic environmentsCode1
Graph Out-of-Distribution Generalization via Causal InterventionCode1
Trapped in texture bias? A large scale comparison of deep instance segmentationCode1
Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge GraphsCode1
Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution GeneralizationCode1
Environment-Aware Dynamic Graph Learning for Out-of-Distribution GeneralizationCode1
Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive TasksCode1
Does Invariant Graph Learning via Environment Augmentation Learn Invariance?Code1
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