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Out-of-Distribution Generalization

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TitleStatusHype
Systematic Abductive Reasoning via Diverse Relation Representations in Vector-symbolic Architecture—0
Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation—0
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and InsightsCode1
Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization—0
On the Out-Of-Distribution Generalization of Large Multimodal Models—0
Dynamic Group Normalization: Spatio-Temporal Adaptation to Evolving Data Statistics—0
Data Distributional Properties As Inductive Bias for Systematic Generalization—0
Enhancing Transformers for Generalizable First-Order Logical Entailment—0
Geometry Matters: Benchmarking Scientific ML Approaches for Flow Prediction around Complex Geometries—0
Towards Compatible Fine-tuning for Vision-Language Model Updates—0
Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model—0
Deliberative Alignment: Reasoning Enables Safer Language Models—0
Benign Overfitting in Out-of-Distribution Generalization of Linear Models—0
Optimal Control Operator Perspective and a Neural Adaptive Spectral MethodCode0
FM2S: Towards Spatially-Correlated Noise Modeling in Zero-Shot Fluorescence Microscopy Image DenoisingCode1
P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies—0
Towards Understanding the Role of Sharpness-Aware Minimization Algorithms for Out-of-Distribution Generalization—0
Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models—0
Learning Ensembles of Vision-based Safety Control Filters—0
Causal Adjacency Learning for Spatiotemporal Prediction Over Graphs—0
CGLearn: Consistent Gradient-Based Learning for Out-of-Distribution GeneralizationCode0
SALSA: Soup-based Alignment Learning for Stronger Adaptation in RLHF—0
EMGBench: Benchmarking Out-of-Distribution Generalization and Adaptation for ElectromyographyCode1
Progression: an extrapolation principle for regression—0
VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning—0
Subgraph Aggregation for Out-of-Distribution Generalization on GraphsCode0
On the Role of Depth and Looping for In-Context Learning with Task Diversity—0
Towards Robust Out-of-Distribution Generalization: Data Augmentation and Neural Architecture Search Approaches—0
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to AdaptationCode2
LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model MergingCode1
Polyp-E: Benchmarking the Robustness of Deep Segmentation Models via Polyp Editing—0
A Complexity-Based Theory of Compositionality—0
Looking Inward: Language Models Can Learn About Themselves by IntrospectionCode1
FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and DetectionCode0
Feature-guided score diffusion for sampling conditional densities—0
ALVIN: Active Learning Via INterpolation—0
AHA: Human-Assisted Out-of-Distribution Generalization and DetectionCode0
Visual Scratchpads: Enabling Global Reasoning in Vision—0
Can Transformers Reason Logically? A Study in SAT Solving—0
Rejecting Hallucinated State Targets during PlanningCode1
Trained Models Tell Us How to Make Them Robust to Spurious Correlation without Group AnnotationCode0
Collaboration! Towards Robust Neural Methods for Routing ProblemsCode1
Dog-IQA: Standard-guided Zero-shot MLLM for Mix-grained Image Quality AssessmentCode1
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation—0
Positional Attention: Expressivity and Learnability of Algorithmic ComputationCode1
Reevaluating Meta-Learning Optimization Algorithms Through Contextual Self-ModulationCode0
A Model-Constrained Discontinuous Galerkin Network (DGNet) for Compressible Euler Equations with Out-of-Distribution Generalization—0
Robustness of AI-based weather forecasts in a changing climate—0
Scalable quantum dynamics compilation via quantum machine learning—0
A Survey of Out-of-distribution Generalization for Graph Machine Learning from a Causal View—0
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