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 39514000 of 6439 papers

TitleStatusHype
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
Topic Modeling-based Domain Adaptation for System Combination0
Topic Models + Word Alignment = A Flexible Framework for Extracting Bilingual Dictionary from Comparable Corpus0
Toshiba MT System Description for the WAT2014 Workshop0
Toshiba MT System Description for the WAT2015 Workshop0
Toward Cross-Domain Engagement Analysis in Medical Notes0
Toward Improving Attentive Neural Networks in Legal Text Processing0
Toward more accurate and generalizable brain deformation estimators for traumatic brain injury detection with unsupervised domain adaptation0
Toward Pan-Slavic NLP: Some Experiments with Language Adaptation0
Towards Accurate Word Segmentation for Chinese Patents0
Towards a continuous modeling of natural language domains0
Towards Adapting ImageNet to Reality: Scalable Domain Adaptation with Implicit Low-rank Transformations0
Towards Adaptive Unknown Authentication for Universal Domain Adaptation by Classifier Paradox0
Towards a Fine-Grained Multi-Domain Neural Machine Translation Using Inter-Domain Relationships0
Towards a Generalizable Speech Marker for Parkinson's Disease Diagnosis0
Towards a Hybrid Rule-based and Statistical Arabic-French Machine Translation System0
Towards an Open-Source Dutch Speech Recognition System for the Healthcare Domain0
Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning0
Towards Bridging the Space Domain Gap for Satellite Pose Estimation using Event Sensing0
Towards Category and Domain Alignment: Category-Invariant Feature Enhancement for Adversarial Domain Adaptation0
Towards Continuous Domain adaptation for Healthcare0
Towards Corruption-Agnostic Robust Domain Adaptation0
Towards Cross-Domain PDTB-Style Discourse Parsing0
Towards Discriminative Representation Learning for Unsupervised Person Re-identification0
Towards Domain Adaptation for Parsing Web Data0
Towards Domain Adaptation from Limited Data for Question Answering Using Deep Neural Networks0
Towards Domain Adaptive Neural Contextual Bandits0
Towards domain generalisation in ASR with elitist sampling and ensemble knowledge distillation0
Towards Domain-Independent Supervised Discourse Parsing Through Gradient Boosting0
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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