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Out-of-Distribution Generalization

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Showing 401–450 of 516 papers

TitleStatusHype
Meta-Causal Feature Learning for Out-of-Distribution Generalization—0
Artifact-Based Domain Generalization of Skin Lesion ModelsCode0
Counterfactual Supervision-based Information Bottleneck for Out-of-Distribution GeneralizationCode0
Pro-tuning: Unified Prompt Tuning for Vision Tasks—0
Exploring the Design of Adaptation Protocols for Improved Generalization and Machine Learning Safety—0
Assaying Out-Of-Distribution Generalization in Transfer LearningCode0
Exploring Length Generalization in Large Language Models—0
A simple normalization technique using window statistics to improve the out-of-distribution generalization on medical imagesCode0
When Does Group Invariant Learning Survive Spurious Correlations?Code0
Towards out of distribution generalization for problems in mechanicsCode0
Test-time image-to-image translation ensembling improves out-of-distribution generalization in histopathology—0
Finding Diverse and Predictable Subgraphs for Graph Domain Generalization—0
The Importance of Background Information for Out of Distribution Generalization—0
Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization—0
On the Generalization and Adaption Performance of Causal Models—0
On Neural Architecture Inductive Biases for Relational TasksCode0
Explaining the physics of transfer learning a data-driven subgrid-scale closure to a different turbulent flowCode0
(Im)possibility of Collective Intelligence—0
Learning Invariant Visual Representations for Compositional Zero-Shot LearningCode0
Model Generation with Provable Coverability for Offline Reinforcement Learning—0
PAC Generalization via Invariant Representations—0
Your Contrastive Learning Is Secretly Doing Stochastic Neighbor EmbeddingCode0
Segmentation Consistency Training: Out-of-Distribution Generalization for Medical Image SegmentationCode0
Comparison of Deep Learning Segmentation and Multigrader-annotated Mandibular Canals of Multicenter CBCT scans—0
Reassessing Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization—0
Memory-enriched computation and learning in spiking neural networks through Hebbian plasticityCode0
The developmental trajectory of object recognition robustness: children are like small adults but unlike big deep neural networksCode0
SeqZero: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot ModelsCode0
Wavelet-Based Hybrid Machine Learning Model for Out-of-distribution Internet Traffic Prediction—0
Causal Reasoning Meets Visual Representation Learning: A Prospective Study—0
VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization—0
Out-of-distribution generalization for learning quantum dynamics—0
What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic EnvironmentCode0
Knowledge-Spreader: Learning Facial Action Unit Dynamics with Extremely Limited Labels—0
Example-based Hypernetworks for Out-of-Distribution GeneralizationCode0
Compound Domain Generalization via Meta-Knowledge Encoding—0
Out-of-distribution Generalization with Causal Invariant Transformations—0
Vision-Based Manipulators Need to Also See from Their Hands—0
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision—0
Generative multitask learning mitigates target-causing confoundingCode0
Gradient Masked Averaging for Federated Learning—0
Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning—0
SEQZERO: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models—0
Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction ModelsCode0
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network—0
An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers—0
Overparameterization Improves Robustness to Covariate Shift in High Dimensions—0
Composing Partial Differential Equations with Physics-Aware Neural Networks—0
Deformation Robust Roto-Scale-Translation Equivariant CNNs—0
Covariate Shift in High-Dimensional Random Feature Regression—0
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