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Out-of-Distribution Generalization

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TitleStatusHype
Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation—0
Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization—0
Data Distributional Properties As Inductive Bias for Systematic Generalization—0
Enhancing Transformers for Generalizable First-Order Logical Entailment—0
Dynamic Group Normalization: Spatio-Temporal Adaptation to Evolving Data Statistics—0
On the Out-Of-Distribution Generalization of Large Multimodal Models—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
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
VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning—0
Progression: an extrapolation principle for regression—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
Polyp-E: Benchmarking the Robustness of Deep Segmentation Models via Polyp Editing—0
A Complexity-Based Theory of Compositionality—0
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
Trained Models Tell Us How to Make Them Robust to Spurious Correlation without Group AnnotationCode0
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation—0
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
DICS: Find Domain-Invariant and Class-Specific Features for Out-of-Distribution Generalization—0
VFA: Vision Frequency Analysis of Foundation Models and HumanCode0
NeuralOOD: Improving Out-of-Distribution Generalization Performance with Brain-machine Fusion Learning Framework—0
Out-of-distribution generalization via composition: a lens through induction heads in TransformersCode0
Predicting Long-Term Allograft Survival in Liver Transplant RecipientsCode0
DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalization—0
Label Augmentation for Neural Networks Robustness—0
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution GeneralizationCode0
Robust Simultaneous Multislice MRI Reconstruction Using Deep Generative PriorsCode0
Weighted Risk Invariance: Domain Generalization under Invariant Feature ShiftCode0
Establishing Causal Relationship Between Whole Slide Image Predictions and Diagnostic Evidence Subregions in Deep Learning—0
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