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domain generalization

1522 papers

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Also known as

DG

Co-occurring keywords

domain adaptation (4595) transfer learning (5449) distribution shift (722) representation learning (6206) out-of-distribution generalization (408) data augmentation (3052) semantic segmentation (3186) zero-shot learning (3650) vision-language model (2348) few-shot learning (3398)

Papers

Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks NIPS 2023
DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models NIPS 2023
An Iterative Self-Learning Framework for Medical Domain Generalization NIPS 2023
Diversify Your Vision Datasets with Automatic Diffusion-based Augmentation NIPS 2023
Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective NIPS 2023
Revealing the unseen: Benchmarking video action recognition under occlusion NIPS 2023
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets NIPS 2023
What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation NIPS 2023
Change is Hard: A Closer Look at Subpopulation Shift ICML 2023
On Pitfalls of Test-Time Adaptation ICML 2023
Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator ICML 2023
CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation NIPS 2023
Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head NIPS 2023
Evolving Standardization for Continual Domain Generalization over Temporal Drift NIPS 2023
PPi: Pretraining Brain Signal Model for Patient-independent Seizure Detection NIPS 2023
Addressing Chest Radiograph Projection Bias in Deep Classification Models MIDL 2023
Improved multi-site Parkinson’s disease classification using neuroimaging data with counterfactual inference MIDL 2023
Domain Generalization with Interpolation Robustness ACML 2023
Cell Variational Information Bottleneck Network ACML 2023
Enhancing Model Generalization of Cervical Fluid-Based Cell Detection through Causal Feature Extraction:A Novel Method ACML 2023
Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks ICML 2023
BridgeData V2: A Dataset for Robot Learning at Scale CORL 2023
Which Invariance Should We Transfer? A Causal Minimax Learning Approach ICML 2023
Composable Part-Based Manipulation CORL 2023
UCAS-IIE-NLP at SemEval-2023 Task 12: Enhancing Generalization of Multilingual BERT for Low-resource Sentiment Analysis SEMEVAL 2023