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Out-of-Distribution Generalization

Papers

Showing 351375 of 516 papers

TitleStatusHype
Segmentation Consistency Training: Out-of-Distribution Generalization for Medical Image SegmentationCode0
PAC Generalization via Invariant Representations0
Your Contrastive Learning Is Secretly Doing Stochastic Neighbor EmbeddingCode0
Comparison of Deep Learning Segmentation and Multigrader-annotated Mandibular Canals of Multicenter CBCT scans0
Reassessing Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization0
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
Diverse Weight Averaging for Out-of-Distribution GeneralizationCode1
SeqZero: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot ModelsCode0
Knowledge Graph Question Answering Datasets and Their Generalizability: Are They Enough for Future Research?Code1
Wavelet-Based Hybrid Machine Learning Model for Out-of-distribution Internet Traffic Prediction0
Causal Transportability for Visual RecognitionCode1
Causal Reasoning Meets Visual Representation Learning: A Prospective Study0
VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization0
Out-of-distribution generalization for learning quantum dynamics0
What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic EnvironmentCode0
Last Layer Re-Training is Sufficient for Robustness to Spurious CorrelationsCode1
Knowledge-Spreader: Learning Facial Action Unit Dynamics with Extremely Limited Labels0
Example-based Hypernetworks for Out-of-Distribution GeneralizationCode0
Compound Domain Generalization via Meta-Knowledge Encoding0
Out-of-distribution Generalization with Causal Invariant Transformations0
WOODS: Benchmarks for Out-of-Distribution Generalization in Time SeriesCode1
Vision-Based Manipulators Need to Also See from Their Hands0
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference timeCode2
Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution GeneralizationCode1
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