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 63516400 of 6439 papers

TitleStatusHype
BioM-Transformers: Building Large Biomedical Language Models with BERT, ALBERT and ELECTRACode0
Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue SummarizationCode0
A Survey of Unsupervised Deep Domain AdaptationCode0
Spatio-Temporal Pixel-Level Contrastive Learning-based Source-Free Domain Adaptation for Video Semantic SegmentationCode0
Contrastive Conditional Alignment based on Label Shift Calibration for Imbalanced Domain AdaptationCode0
Contrastive Bi-Projector for Unsupervised Domain AdaptionCode0
Virtual to Real Reinforcement Learning for Autonomous DrivingCode0
Contrast and Clustering: Learning Neighborhood Pair Representation for Source-free Domain AdaptationCode0
Pred&Guide: Labeled Target Class Prediction for Guiding Semi-Supervised Domain AdaptationCode0
TransCORALNet: A Two-Stream Transformer CORAL Networks for Supply Chain Credit Assessment Cold StartCode0
Unsupervised domain adaptation for medical imaging segmentation with self-ensemblingCode0
SpecNFS: A Challenge Dataset Towards Extracting Formal Models from Natural Language SpecificationsCode0
Towards generalization of drug response prediction to single cells and patients utilizing importance-aware multi-source domain transfer learningCode0
Spectral Adversarial MixUp for Few-Shot Unsupervised Domain AdaptationCode0
Adversarial Semantic Hallucination for Domain Generalized Semantic SegmentationCode0
Spectral Transfer Guided Active Domain Adaptation For Thermal ImageryCode0
Transductive Adversarial Networks (TAN)Code0
Adversarial Invariant LearningCode0
The Foundational Capabilities of Large Language Models in Predicting Postoperative Risks Using Clinical NotesCode0
SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural NetworkCode0
Adaptive Semi-Supervised Segmentation of Brain Vessels with Ambiguous LabelsCode0
Continuous Unsupervised Domain Adaptation Using Stabilized Representations and Experience ReplayCode0
Discriminative Joint Probability Maximum Mean Discrepancy (DJP-MMD) for Domain AdaptationCode0
Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain AdaptationCode0
Continuous Pseudo-Label Rectified Domain Adaptive Semantic Segmentation With Implicit Neural RepresentationsCode0
Domain Impression: A Source Data Free Domain Adaptation MethodCode0
Domain Generalization of 3D Object Detection by Density-ResamplingCode0
Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature EmbeddingsCode0
Spot the Difference: Detection of Topological Changes via Geometric AlignmentCode0
Arabic Multi-Dialect Segmentation: bi-LSTM-CRF vs. SVMCode0
Domain Generalization for Text Classification with Memory-Based Supervised Contrastive LearningCode0
SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point CloudCode0
Privacy-Preserving Adaptive Re-Identification without Image TransferCode0
Domain Adaptation for the Segmentation of Confidential Medical ImagesCode0
SRDA: Generating Instance Segmentation Annotation Via Scanning, Reasoning And Domain AdaptationCode0
Continual Unsupervised Domain Adaptation for Semantic SegmentationCode0
Privacy Preserving Federated Unsupervised Domain Adaptation with Application to Age Prediction from DNA Methylation DataCode0
Privacy-Preserving Models for Legal Natural Language ProcessingCode0
Continually Improving Extractive QA via Human FeedbackCode0
SRoUDA: Meta Self-training for Robust Unsupervised Domain AdaptationCode0
SRPL-SFDA: SAM-Guided Reliable Pseudo-Labels for Source-Free Domain Adaptation in Medical Image SegmentationCode0
Continual Learning of Neural Machine Translation within Low Forgetting Risk RegionsCode0
BioADAPT-MRC: Adversarial Learning-based Domain Adaptation Improves Biomedical Machine Reading Comprehension TaskCode0
Probabilistic Domain Adaptation for Biomedical Image SegmentationCode0
Continual Domain Adaptation on Aerial Images under Gradually Degrading WeatherCode0
SSDA: Secure Source-Free Domain AdaptationCode0
Domain Differential Adaptation for Neural Machine TranslationCode0
Professor Forcing: A New Algorithm for Training Recurrent NetworksCode0
Continual Coarse-to-Fine Domain Adaptation in Semantic SegmentationCode0
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial 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