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 62516300 of 6439 papers

TitleStatusHype
Learning Word Sense Distributions, Detecting Unattested Senses and Identifying Novel Senses Using Topic Models0
Polylingual Tree-Based Topic Models for Translation Domain Adaptation0
Tagging The Web: Building A Robust Web Tagger with Neural Network0
Anchors Regularized: Adding Robustness and Extensibility to Scalable Topic-Modeling Algorithms0
Book Reviews: Semi-Supervised Learning and Domain Adaptation in Natural Language Processing by Anders S0
Recognizing RGB Images by Learning from RGB-D Data0
Transfer Joint Matching for Unsupervised Domain Adaptation0
Unsupervised Learning of Dictionaries of Hierarchical Compositional Models0
Learning to Learn, from Transfer Learning to Domain Adaptation: A Unifying Perspective0
Continuous Manifold Based Adaptation for Evolving Visual Domains0
Domain Adaptation on the Statistical Manifold0
Adaptation Algorithm and Theory Based on Generalized Discrepancy0
Focusing Annotation for Semantic Role Labeling0
Multilingual Test Sets for Machine Translation of Search Queries for Cross-Lingual Information Retrieval in the Medical Domain0
An Exercise in Reuse of Resources: Adapting General Discourse Coreference Resolution for Detecting Lexical Chains in Patent Documentation0
Corpus Annotation through Crowdsourcing: Towards Best Practice Guidelines0
Evaluation of different strategies for domain adaptation in opinion mining0
TweetNorm\_es: an annotated corpus for Spanish microtext normalization0
Adapting a part-of-speech tagset to non-standard text: The case of STTS0
ML-Optimization of Ported Constraint Grammars0
Flow Graph Corpus from Recipe Texts0
Language Resource Addition: Dictionary or Corpus?0
An Out-of-Domain Test Suite for Dependency Parsing of German0
A Large-Scale Evaluation of Pre-editing Strategies for Improving User-Generated Content Translation0
Free English and Czech telephone speech corpus shared under the CC-BY-SA 3.0 license0
Towards Shared Datasets for Normalization Research0
Sentence Rephrasing for Parsing Sentences with OOV Words0
Simple Effective Microblog Named Entity Recognition: Arabic as an Example0
A Gold Standard for CLIR evaluation in the Organic Agriculture Domain0
HuRIC: a Human Robot Interaction Corpus0
UM-Corpus: A Large English-Chinese Parallel Corpus for Statistical Machine Translation0
Large SMT data-sets extracted from Wikipedia0
A Wikipedia-based Corpus for Contextualized Machine Translation0
The impact of near domain transfer on biomedical named entity recognition0
Online Word Alignment for Online Adaptive Machine Translation0
Confidence-based Active Learning Methods for Machine Translation0
The ACCEPT Portal: An Online Framework for the Pre-editing and Post-editing of User-Generated Content0
Domain Adaptation with Active Learning for Coreference Resolution0
Towards Cross-Domain PDTB-Style Discourse Parsing0
Modelling Irony in Twitter0
Enhancing Medical Named Entity Recognition with Features Derived from Unsupervised Methods0
Structured and Unstructured Cache Models for SMT Domain Adaptation0
Dynamic Topic Adaptation for Phrase-based MT0
Multi-Domain Sentiment Relevance Classification with Automatic Representation Learning0
Generalizing a Strongly Lexicalized Parser using Unlabeled Data0
Type-Supervised Domain Adaptation for Joint Segmentation and POS-Tagging0
Active Learning for Post-Editing Based Incrementally Retrained MT0
Generalization Bounds for Representative Domain Adaptation0
FLORS: Fast and Simple Domain Adaptation for Part-of-Speech Tagging0
One-Shot Adaptation of Supervised Deep Convolutional Models0
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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