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 42014250 of 6439 papers

TitleStatusHype
NICT Kyoto Submission for the WMT’20 Quality Estimation Task: Intermediate Training for Domain and Task Adaptation0
The IPN-CIC team system submission for the WMT 2020 similar language task0
A Study of Residual Adapters for Multi-Domain Neural Machine TranslationCode0
Ixamed’s submission description for WMT20 Biomedical shared task: benefits and limitations of using terminologies for domain adaptation0
LIMSI @ WMT 20200
On the effectiveness of small, discriminatively pre-trained language representation models for biomedical text mining0
MICE: a middleware layer for MT0
Domain adaptation challenges of BERT in tokenization and sub-word representations of Out-of-Vocabulary words0
Margin-aware Unsupervised Domain Adaptation for Cross-lingual Text Labeling0
Vocabulary Adaptation for Domain Adaptation in Neural Machine TranslationCode0
Domain Adaptation of Thai Word Segmentation Models using Stacked EnsembleCode1
Multi-Stage Pre-training for Automated Chinese Essay Scoring0
Simple Data Augmentation with the Mask Token Improves Domain Adaptation for Dialog Act Tagging0
Unified Feature and Instance Based Domain Adaptation for Aspect-Based Sentiment Analysis0
Domain-Adaptive Object Detection via Uncertainty-Aware Distribution AlignmentCode1
Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic SegmentationCode1
A Sui Generis QA Approach using RoBERTa for Adverse Drug Event Identification0
CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question AnsweringCode1
Domain adaptation under structural causal modelsCode1
Deep DA for Ordinal Regression of Pain Intensity Estimation Using Weakly-Labeled Videos0
Unsupervised Domain Adaptation for Visual Navigation0
Exploiting Neural Query Translation into Cross Lingual Information Retrieval0
On Embodied Visual Navigation in Real Environments Through HabitatCode0
An Adversarial Domain Separation Framework for Septic Shock Early Prediction Across EHR Systems0
Dataset Dynamics via Gradient Flows in Probability SpaceCode1
Rapid Domain Adaptation for Machine Translation with Monolingual Data0
Domain Adaptation in LiDAR Semantic Segmentation by Aligning Class Distributions0
Casting a BAIT for Offline and Online Source-free Domain AdaptationCode1
Domain Divergences: a Survey and Empirical Analysis0
Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation0
Knowledge Distillation for BERT Unsupervised Domain AdaptationCode1
Dynamic Layer Customization for Noise Robust Speech Emotion Recognition in Heterogeneous Condition Training0
Teacher-Student Consistency For Multi-Source Domain AdaptationCode0
Synthesis of COVID-19 Chest X-rays using Unpaired Image-to-Image TranslationCode1
DATSING: Data Augmented Time Series Forecasting with Adversarial Domain Adaptation0
Domain Generalized Person Re-Identification via Cross-Domain Episodic Learning0
Unsupervised Domain Adaptation for Spatio-Temporal Action Localization0
Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains0
Teacher-Student Competition for Unsupervised Domain Adaptation0
Continual Unsupervised Domain Adaptation for Semantic SegmentationCode0
From Local Structures to Size Generalization in Graph Neural Networks0
Active Domain Adaptation via Clustering Uncertainty-weighted EmbeddingsCode1
Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring TasksCode0
SF-UDA^3D: Source-Free Unsupervised Domain Adaptation for LiDAR-Based 3D Object DetectionCode1
Auxiliary Task Reweighting for Minimum-data Learning0
Revisiting Optical Flow Estimation in 360 Videos0
Improved Multi-Source Domain Adaptation by Preservation of Factors0
Self-Supervised Domain Adaptation with Consistency TrainingCode1
Fader Networks for domain adaptation on fMRI: ABIDE-II studyCode1
WeightAlign: Normalizing Activations by Weight Alignment0
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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