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 34513500 of 6439 papers

TitleStatusHype
The IPN-CIC team system submission for the WMT 2020 similar language task0
The Karlsruhe Institute of Technology Systems for the News Translation Task in WMT 20170
The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation0
The LMU System for the CoNLL-SIGMORPHON 2017 Shared Task on Universal Morphological Reinflection0
The MLLP-UPV Spanish-Portuguese and Portuguese-Spanish Machine Translation Systems for WMT19 Similar Language Translation Task0
The MLLP-UPV Supervised Machine Translation Systems for WMT19 News Translation Task0
Theoretical Analysis of Domain Adaptation with Optimal Transport0
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data0
Inference via robust optimal transportation: theory and methods0
Theoretical Guarantees for Domain Adaptation with Hierarchical Optimal Transport0
On Deep Domain Adaptation: Some Theoretical Understandings0
Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning0
The Over-Certainty Phenomenon in Modern UDA Algorithms0
The PASCAL Challenge on Grammar Induction0
The Pipeline System of ASR and NLU with MLM-based Data Augmentation toward STOP Low-resource Challenge0
Thermal-Infrared Remote Target Detection System for Maritime Rescue based on Data Augmentation with 3D Synthetic Data0
Exploring Thermal Images for Object Detection in Underexposure Regions for Autonomous Driving0
The Role of Embedding Complexity in Domain-invariant Representations0
The Role of Linguistic Features in Domain Adaptation: TAG Parsing of Questions0
The Royalflush System for VoxCeleb Speaker Recognition Challenge 20220
The RWTH Aachen Machine Translation System for WMT 20130
The RWTH Aachen Machine Translation Systems for IWSLT 20170
The Samsung and University of Edinburgh’s submission to IWSLT170
The Sociolinguistic Foundations of Language Modeling0
The TALP-UPC Phrase-Based Translation Systems for WMT13: System Combination with Morphology Generation, Domain Adaptation and Corpus Filtering0
The TALP-UPC phrase-based translation systems for WMT12: Morphology simplification and domain adaptation0
The Trade-offs of Domain Adaptation for Neural Language Models0
The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task0
The University of Arizona at SemEval-2021 Task 10: Applying Self-training, Active Learning and Data Augmentation to Source-free Domain Adaptation0
The University of Edinburgh’s systems submission to the MT task at IWSLT0
The Unreasonable Effectiveness of Word Representations for Twitter Named Entity Recognition0
The VoxCeleb Speaker Recognition Challenge: A Retrospective0
The WeSearch Corpus, Treebank, and Treecache -- A Comprehensive Sample of User-Generated Content0
They are Not Completely Useless: Towards Recycling Transferable Unlabeled Data for Class-Mismatched Semi-Supervised Learning0
TICaM: A Time-of-flight In-car Cabin Monitoring Dataset0
Tightening Classification Boundaries in Open Set Domain Adaptation through Unknown Exploitation0
Time and Frequency Synergy for Source-Free Time-Series Domain Adaptations0
Time Series Domain Adaptation via Sparse Associative Structure Alignment0
Time-Series Domain Adaptation via Sparse Associative Structure Alignment: Learning Invariance and Variance0
TimeStep Master: Asymmetrical Mixture of Timestep LoRA Experts for Versatile and Efficient Diffusion Models in Vision0
Time Will Change Things: An Empirical Study on Dynamic Language Understanding in Social Media Classification0
Tissue Segmentation of Thick-Slice Fetal Brain MR Scans with Guidance from High-Quality Isotropic Volumes0
TLDR: Traffic Light Detection using Fourier Domain Adaptation in Hostile WeatheR0
TLR: Transfer Latent Representation for Unsupervised Domain Adaptation0
To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering0
ToDER: Towards Colonoscopy Depth Estimation and Reconstruction with Geometry Constraint Adaptation0
To Label or Not to Label: Hybrid Active Learning for Neural Machine Translation0
Topic Adaptation for the Automatic Translation of News Articles (Adaptation th\'ematique pour la traduction automatique de d\'ep\^eches de presse) [in French]0
Topic Aware Neural Language Model: Domain Adaptation of Unconditional Text Generation Models0
Topic Driven Adaptive Network for Cross-Domain Sentiment Classification0
Show:102550
← PrevPage 70 of 129Next →

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