SOTAVerified

Domain Adaptation

Domain Adaptation is the task of adapting models across domains. This is motivated by the challenge where the test and training datasets fall from different data distributions due to some factor. Domain adaptation aims to build machine learning models that can be generalized into a target domain and dealing with the discrepancy across domain distributions.

Further readings:

( Image credit: Unsupervised Image-to-Image Translation Networks )

Papers

Showing 22512300 of 6439 papers

TitleStatusHype
Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue SummarizationCode0
Forget Me Not: Reducing Catastrophic Forgetting for Domain Adaptation in Reading ComprehensionCode0
Combining inherent knowledge of vision-language models with unsupervised domain adaptation through strong-weak guidanceCode0
Effective Dual-Region Augmentation for Reduced Reliance on Large Amounts of Labeled DataCode0
First U-Net Layers Contain More Domain Specific Information Than The Last OnesCode0
Improve Cross-domain Mixed Sampling with Guidance Training for Adaptive SegmentationCode0
Fisher Deep Domain AdaptationCode0
The challenges of temporal alignment on Twitter during crisesCode0
Few-shot Image Generation with Diffusion ModelsCode0
Improving Both Domain Robustness and Domain Adaptability in Machine TranslationCode0
Effective Unsupervised Domain Adaptation with Adversarially Trained Language ModelsCode0
Few-Shot Domain Adaptation for Named-Entity Recognition via Joint Constrained k-Means and Subspace SelectionCode0
Are Large Language Models Robust Coreference Resolvers?Code0
Few-shot Fine-tuning is All You Need for Source-free Domain AdaptationCode0
ColorMapGAN: Unsupervised Domain Adaptation for Semantic Segmentation Using Color Mapping Generative Adversarial NetworksCode0
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back-TranslationCode0
Improving Rumor Detection by Class-based Adversarial Domain AdaptationCode0
Domain Impression: A Source Data Free Domain Adaptation MethodCode0
Efficient Cluster-Based k-Nearest-Neighbor Machine TranslationCode0
Consensus Focus for Object Detection and minority classesCode0
Few-Shot Adaptation of Pre-Trained Networks for Domain ShiftCode0
Few-shot Hybrid Domain Adaptation of Image GeneratorsCode0
Consistency Regularisation for Unsupervised Domain Adaptation in Monocular Depth EstimationCode0
Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep LearningCode0
FedStein: Enhancing Multi-Domain Federated Learning Through James-Stein EstimatorCode0
Adversarial Domain Adaptation with Domain MixupCode0
ArchiMeDe @ DANKMEMES: A New Model Architecture for Meme DetectionCode0
Independent Feature Decomposition and Instance Alignment for Unsupervised Domain AdaptationCode0
Few-Max: Few-Shot Domain Adaptation for Unsupervised Contrastive Representation LearningCode0
Domain Generalization of 3D Object Detection by Density-ResamplingCode0
Domain Generalization for Text Classification with Memory-Based Supervised Contrastive LearningCode0
Principled Federated Domain Adaptation: Gradient Projection and Auto-WeightingCode0
FewRel 2.0: Towards More Challenging Few-Shot Relation ClassificationCode0
FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine TranslationCode0
FAtNet: Cost-Effective Approach Towards Mitigating the Linguistic Bias in Speaker Verification SystemsCode0
Fairness meets Cross-Domain Learning: a new perspective on Models and MetricsCode0
FADE: Forecasting for Anomaly Detection on ECGCode0
Fact Checking Beyond Training SetCode0
FACT: Federated Adversarial Cross TrainingCode0
Efficient Pre-trained Features and Recurrent Pseudo-Labeling in Unsupervised Domain AdaptationCode0
FAA-CLIP: Federated Adversarial Adaptation of CLIPCode0
Arabic Multi-Dialect Segmentation: bi-LSTM-CRF vs. SVMCode0
Domain Differential Adaptation for Neural Machine TranslationCode0
Intermediate Domain-guided Adaptation for Unsupervised Chorioallantoic Membrane Vessel SegmentationCode0
Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated ExamplesCode0
Associative Alignment for Few-shot Image ClassificationCode0
Content Disentanglement for Semantically Consistent Synthetic-to-Real Domain AdaptationCode0
Extracting Relationships by Multi-Domain MatchingCode0
Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving RegularizationCode0
Feather-Light Fourier Domain Adaptation in Magnetic Resonance ImagingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1FFTATAverage Accuracy96Unverified
2PMTransAverage Accuracy95.3Unverified
3CMKDAverage Accuracy94.4Unverified
4SSRT-B (ours)Average Accuracy93.5Unverified
5CDTransAverage Accuracy92.6Unverified
6CoViAverage Accuracy91.8Unverified
7GSDEAverage Accuracy91.7Unverified
8FixBiAverage Accuracy91.4Unverified
9Contrastive Adaptation NetworkAverage Accuracy90.6Unverified
10BIWAAAverage Accuracy90.5Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU78.1Unverified
2ILM-ASSLmIoU76.6Unverified
3DCFmIoU69.3Unverified
4HRDA+PiPamIoU68.2Unverified
5MICmIoU67.3Unverified
6FREDOM - TransformermIoU67Unverified
7HRDAmIoU65.8Unverified
8SePiComIoU64.3Unverified
9MIC + Guidance TrainingmIoU63.8Unverified
10DAFormer + ProCSTmIoU61.6Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU77.8Unverified
2DCFmIoU77.7Unverified
3ILM-ASSLmIoU76.1Unverified
4MICmIoU75.9Unverified
5HRDA+PiPamIoU75.6Unverified
6HRDAmIoU73.8Unverified
7FREDOM - TransformermIoU73.6Unverified
8HALOmIoU73.3Unverified
9SePiComIoU70.3Unverified
10DAFormer + ProCSTmIoU69.4Unverified
#ModelMetricClaimedVerifiedStatus
1SWGAccuracy92.3Unverified
2RCLAccuracy90Unverified
3PGA (ViT-L/14)Accuracy89.4Unverified
4PMTransAccuracy89Unverified
5CMKDAccuracy89Unverified
6MICAccuracy86.2Unverified
7PGA (ViT-B/16)Accuracy85.1Unverified
8ELSAccuracy84.6Unverified
9SDAT (ViT-B/16)Accuracy84.3Unverified
10CDTrans (DeiT-B)Accuracy80.5Unverified
#ModelMetricClaimedVerifiedStatus
1FFTATAccuracy93.8Unverified
2RCLAccuracy93.2Unverified
3MICAccuracy92.8Unverified
4SWGAccuracy92.7Unverified
5CMKDAccuracy91.8Unverified
6DePTAccuracy90.7Unverified
7SDAT(ViT)Accuracy89.8Unverified
8SFDA2++Accuracy89.6Unverified
9PMtransAccuracy88.8Unverified
10CoViAccuracy88.5Unverified
#ModelMetricClaimedVerifiedStatus
1CMKDAccuracy94.3Unverified
2MCC+NWDAccuracy90.7Unverified
3GLOT-DRAccuracy90.4Unverified
4SPLAccuracy90.3Unverified
5DFA-SAFNAccuracy90.2Unverified
6DADAAccuracy89.3Unverified
7DFA-ENTAccuracy89.1Unverified
8MEDMAccuracy88.9Unverified
9DDAAccuracy88.9Unverified
10IAFN+ENTAccuracy88.9Unverified
#ModelMetricClaimedVerifiedStatus
1SoRAmIoU78.8Unverified
2ReinmIoU77.6Unverified
3CoDAmIoU72.6Unverified
4Refign (HRDA)mIoU72.1Unverified
5HALOmIoU71.9Unverified
6MICmIoU70.4Unverified
7HRDAmIoU68Unverified
8Refign (DAFormer)mIoU65.5Unverified
9VBLC (DAFormer)mIoU64.2Unverified
10CMFormermIoU60.1Unverified
#ModelMetricClaimedVerifiedStatus
1FACTAccuracy98.8Unverified
2FAMCDAccuracy98.72Unverified
3DFA-MCDAccuracy98.6Unverified
4Mean teacherAccuracy98.26Unverified
5DRANetAccuracy98.2Unverified
6SHOTAccuracy98Unverified
7DFA-ENTAccuracy97.9Unverified
8CyCleGAN (Light-weight Calibrator)Accuracy97.1Unverified