SOTAVerified

Out-of-Distribution Generalization

Papers

Showing 125 of 516 papers

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
AWT: Transferring Vision-Language Models via Augmentation, Weighting, and TransportationCode2
Learning Transferable Visual Models From Natural Language SupervisionCode2
UnIVAL: Unified Model for Image, Video, Audio and Language TasksCode2
Big Transfer (BiT): General Visual Representation LearningCode2
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference timeCode2
Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing ModelCode2
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to AdaptationCode2
Learning Causally Invariant Representations for Out-of-Distribution Generalization on GraphsCode2
A Hard-to-Beat Baseline for Training-free CLIP-based AdaptationCode2
Adapting to Distribution Shift by Visual Domain Prompt GenerationCode1
A Brief Introduction to Causal Inference in Machine LearningCode1
Collaboration! Towards Robust Neural Methods for Routing ProblemsCode1
Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive TasksCode1
Causal Transportability for Visual RecognitionCode1
Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution GeneralizationCode1
Context-Guided Diffusion for Out-of-Distribution Molecular and Protein DesignCode1
A Consciousness-Inspired Planning Agent for Model-Based Reinforcement LearningCode1
Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge GraphsCode1
Assessing the Generalization Capacity of Pre-trained Language Models through Japanese Adversarial Natural Language InferenceCode1
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies OthersCode1
BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial OptimizationCode1
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