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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
Dynamic Group Normalization: Spatio-Temporal Adaptation to Evolving Data Statistics—0
Data Distributional Properties As Inductive Bias for Systematic Generalization—0
On the Out-Of-Distribution Generalization of Large Multimodal Models—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
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