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 53015350 of 6439 papers

TitleStatusHype
LCT-1 at SemEval-2023 Task 10: Pre-training and Multi-task Learning for Sexism Detection and ClassificationCode0
"I've Heard of You!": Generate Spoken Named Entity Recognition Data for Unseen EntitiesCode0
Iterative pseudo-forced alignment by acoustic CTC loss for self-supervised ASR domain adaptationCode0
Transferring GANs: generating images from limited dataCode0
Learnable Data Augmentation for One-Shot Unsupervised Domain AdaptationCode0
Iterative Constrained Back-Translation for Unsupervised Domain Adaptation of Machine TranslationCode0
LEARN: A Unified Framework for Multi-Task Domain Adapt Few-Shot LearningCode0
Adversarial Feature Adaptation for Cross-lingual Relation ClassificationCode0
Learn from Relation Information: Towards Prototype Representation Rectification for Few-Shot Relation ExtractionCode0
Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual PersistenceCode0
Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source DataCode0
Learning Across Tasks and DomainsCode0
Learning representations that are closed-form Monge mapping optimal with application to domain adaptationCode0
Student Becomes Decathlon Master in Retinal Vessel Segmentation via Dual-teacher Multi-target Domain AdaptationCode0
Quantum correlation alignment for unsupervised domain adaptationCode0
Quantum subspace alignment for domain adaptationCode0
Domain Adaptation with Representation Learning and Nonlinear Relation for Time SeriesCode0
Domain Adaptation with Randomized Expectation MaximizationCode0
Studying Catastrophic Forgetting in Neural Ranking ModelsCode0
Beyond Deterministic Translation for Unsupervised Domain AdaptationCode0
Benchmarking pre-trained text embedding models in aligning built asset informationCode0
Domain Adaptation with Pre-trained Transformers for Query-Focused Abstractive Text SummarizationCode0
Transformers for molecular property prediction: Domain adaptation efficiently improves performanceCode0
RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language ModelsCode0
Visual Domain Adaptation for Monocular Depth Estimation on Resource-Constrained HardwareCode0
A Comparison of Strategies for Source-Free Domain AdaptationCode0
Unsupervised Speech Domain Adaptation Based on Disentangled Representation Learning for Robust Speech RecognitionCode0
Radial Prediction Domain Adaption Classifier for the MIDOG 2022 ChallengeCode0
Style Augmentation: Data Augmentation via Style RandomizationCode0
StyleDomain: Efficient and Lightweight Parameterizations of StyleGAN for One-shot and Few-shot Domain AdaptationCode0
Is Modularity Transferable? A Case Study through the Lens of Knowledge DistillationCode0
Connect Later: Improving Fine-tuning for Robustness with Targeted AugmentationsCode0
Investigating the performance of Retrieval-Augmented Generation and fine-tuning for the development of AI-driven knowledge-based systemsCode0
Investigating Generalization in Neural Networks under Optimally Evolved Training PerturbationsCode0
RALAD: Bridging the Real-to-Sim Domain Gap in Autonomous Driving with Retrieval-Augmented LearningCode0
Adversarial Domain Adaptation with Domain MixupCode0
Confusing Pair Correction Based on Category Prototype for Domain Adaptation under Noisy EnvironmentsCode0
Learning Conditional Invariances through Non-CommutativityCode0
Learning Content-enhanced Mask Transformer for Domain Generalized Urban-Scene SegmentationCode0
Domain Adaptation with Pre-trained Transformers for Query Focused Abstractive Text SummarizationCode0
Conditional Extreme Value Theory for Open Set Video Domain AdaptationCode0
Truly Generalizable Radiograph Segmentation with Conditional Domain AdaptationCode0
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identificationCode0
Domain Adaptation with Cauchy-Schwarz DivergenceCode0
ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain ConcatenationCode0
Interpreting Sentiment Composition with Latent Semantic TreeCode0
Interpretations of Domain Adaptations via Layer Variational AnalysisCode0
Intermediate Domain-guided Adaptation for Unsupervised Chorioallantoic Membrane Vessel SegmentationCode0
Subject-Based Domain Adaptation for Facial Expression RecognitionCode0
Inter-Domain Alignment for Predicting High-Resolution Brain Networks Using Teacher-Student LearningCode0
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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