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.

Papers

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Showing 6251–6275 of 6439 papers

Title	Date	Tasks	Status
Learning Word Sense Distributions, Detecting Unattested Senses and Identifying Novel Senses Using Topic Models	Jun 1, 2014	Domain AdaptationTopic Models	—Unverified
Polylingual Tree-Based Topic Models for Translation Domain Adaptation	Jun 1, 2014	Domain AdaptationInformation Retrieval	—Unverified
Tagging The Web: Building A Robust Web Tagger with Neural Network	Jun 1, 2014	Domain AdaptationPart-Of-Speech Tagging	—Unverified
Anchors Regularized: Adding Robustness and Extensibility to Scalable Topic-Modeling Algorithms	Jun 1, 2014	Domain AdaptationMachine Translation	—Unverified
Book Reviews: Semi-Supervised Learning and Domain Adaptation in Natural Language Processing by Anders S	Jun 1, 2014	Domain AdaptationMachine Translation	—Unverified
Recognizing RGB Images by Learning from RGB-D Data	Jun 1, 2014	Domain AdaptationObject Recognition	—Unverified
Transfer Joint Matching for Unsupervised Domain Adaptation	Jun 1, 2014	Dimensionality ReductionDomain Adaptation	—Unverified
Unsupervised Learning of Dictionaries of Hierarchical Compositional Models	Jun 1, 2014	Domain AdaptationTemplate Matching	—Unverified
Learning to Learn, from Transfer Learning to Domain Adaptation: A Unifying Perspective	Jun 1, 2014	Domain AdaptationTransfer Learning	—Unverified
Continuous Manifold Based Adaptation for Evolving Visual Domains	Jun 1, 2014	Domain Adaptation	—Unverified
Domain Adaptation on the Statistical Manifold	Jun 1, 2014	Domain AdaptationObject Recognition	—Unverified
Adaptation Algorithm and Theory Based on Generalized Discrepancy	May 7, 2014	Domain Adaptation	—Unverified
Focusing Annotation for Semantic Role Labeling	May 1, 2014	Active LearningDomain Adaptation	—Unverified
Multilingual Test Sets for Machine Translation of Search Queries for Cross-Lingual Information Retrieval in the Medical Domain	May 1, 2014	Cross-Lingual Information RetrievalDomain Adaptation	—Unverified
An Exercise in Reuse of Resources: Adapting General Discourse Coreference Resolution for Detecting Lexical Chains in Patent Documentation	May 1, 2014	coreference-resolutionCoreference Resolution	—Unverified
Corpus Annotation through Crowdsourcing: Towards Best Practice Guidelines	May 1, 2014	Domain AdaptationNatural Language Inference	—Unverified
Evaluation of different strategies for domain adaptation in opinion mining	May 1, 2014	Domain AdaptationOpinion Mining	—Unverified
TweetNorm\_es: an annotated corpus for Spanish microtext normalization	May 1, 2014	Domain AdaptationLexical Normalization	—Unverified
Adapting a part-of-speech tagset to non-standard text: The case of STTS	May 1, 2014	Domain AdaptationMachine Translation	—Unverified
ML-Optimization of Ported Constraint Grammars	May 1, 2014	Domain AdaptationMorphological Analysis	—Unverified
Flow Graph Corpus from Recipe Texts	May 1, 2014	ARCcoreference-resolution	—Unverified
Language Resource Addition: Dictionary or Corpus?	May 1, 2014	Active LearningDomain Adaptation	—Unverified
An Out-of-Domain Test Suite for Dependency Parsing of German	May 1, 2014	Dependency ParsingDomain Adaptation	—Unverified
A Large-Scale Evaluation of Pre-editing Strategies for Improving User-Generated Content Translation	May 1, 2014	Domain AdaptationMachine Translation	—Unverified
Free English and Czech telephone speech corpus shared under the CC-BY-SA 3.0 license	May 1, 2014	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified

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All datasets Office-31 SYNTHIA-to-Cityscapes GTA5 to Cityscapes Office-Home VisDA2017 ImageCLEF-DA Cityscapes to ACDC MNIST-to-USPS SVHN-to-MNIST USPS-to-MNIST SVNH-to-MNIST MoLane

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	FFTAT	Average Accuracy	96	—	Unverified
2	PMTrans	Average Accuracy	95.3	—	Unverified
3	CMKD	Average Accuracy	94.4	—	Unverified
4	SSRT-B (ours)	Average Accuracy	93.5	—	Unverified
5	CDTrans	Average Accuracy	92.6	—	Unverified
6	CoVi	Average Accuracy	91.8	—	Unverified
7	GSDE	Average Accuracy	91.7	—	Unverified
8	FixBi	Average Accuracy	91.4	—	Unverified
9	Contrastive Adaptation Network	Average Accuracy	90.6	—	Unverified
10	BIWAA	Average Accuracy	90.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	HALO	mIoU	78.1	—	Unverified
2	ILM-ASSL	mIoU	76.6	—	Unverified
3	DCF	mIoU	69.3	—	Unverified
4	HRDA+PiPa	mIoU	68.2	—	Unverified
5	MIC	mIoU	67.3	—	Unverified
6	FREDOM - Transformer	mIoU	67	—	Unverified
7	HRDA	mIoU	65.8	—	Unverified
8	SePiCo	mIoU	64.3	—	Unverified
9	MIC + Guidance Training	mIoU	63.8	—	Unverified
10	DAFormer + ProCST	mIoU	61.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	HALO	mIoU	77.8	—	Unverified
2	DCF	mIoU	77.7	—	Unverified
3	ILM-ASSL	mIoU	76.1	—	Unverified
4	MIC	mIoU	75.9	—	Unverified
5	HRDA+PiPa	mIoU	75.6	—	Unverified
6	HRDA	mIoU	73.8	—	Unverified
7	FREDOM - Transformer	mIoU	73.6	—	Unverified
8	HALO	mIoU	73.3	—	Unverified
9	SePiCo	mIoU	70.3	—	Unverified
10	DAFormer + ProCST	mIoU	69.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SWG	Accuracy	92.3	—	Unverified
2	RCL	Accuracy	90	—	Unverified
3	PGA (ViT-L/14)	Accuracy	89.4	—	Unverified
4	CMKD	Accuracy	89	—	Unverified
5	PMTrans	Accuracy	89	—	Unverified
6	MIC	Accuracy	86.2	—	Unverified
7	PGA (ViT-B/16)	Accuracy	85.1	—	Unverified
8	ELS	Accuracy	84.6	—	Unverified
9	SDAT (ViT-B/16)	Accuracy	84.3	—	Unverified
10	CDTrans (DeiT-B)	Accuracy	80.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FFTAT	Accuracy	93.8	—	Unverified
2	RCL	Accuracy	93.2	—	Unverified
3	MIC	Accuracy	92.8	—	Unverified
4	SWG	Accuracy	92.7	—	Unverified
5	CMKD	Accuracy	91.8	—	Unverified
6	DePT	Accuracy	90.7	—	Unverified
7	SDAT(ViT)	Accuracy	89.8	—	Unverified
8	SFDA2++	Accuracy	89.6	—	Unverified
9	PMtrans	Accuracy	88.8	—	Unverified
10	CoVi	Accuracy	88.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CMKD	Accuracy	94.3	—	Unverified
2	MCC+NWD	Accuracy	90.7	—	Unverified
3	GLOT-DR	Accuracy	90.4	—	Unverified
4	SPL	Accuracy	90.3	—	Unverified
5	DFA-SAFN	Accuracy	90.2	—	Unverified
6	DADA	Accuracy	89.3	—	Unverified
7	DFA-ENT	Accuracy	89.1	—	Unverified
8	DDA	Accuracy	88.9	—	Unverified
9	MEDM	Accuracy	88.9	—	Unverified
10	IAFN+ENT	Accuracy	88.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SoRA	mIoU	78.8	—	Unverified
2	Rein	mIoU	77.6	—	Unverified
3	CoDA	mIoU	72.6	—	Unverified
4	Refign (HRDA)	mIoU	72.1	—	Unverified
5	HALO	mIoU	71.9	—	Unverified
6	MIC	mIoU	70.4	—	Unverified
7	HRDA	mIoU	68	—	Unverified
8	Refign (DAFormer)	mIoU	65.5	—	Unverified
9	VBLC (DAFormer)	mIoU	64.2	—	Unverified
10	CMFormer	mIoU	60.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FACT	Accuracy	98.8	—	Unverified
2	FAMCD	Accuracy	98.72	—	Unverified
3	DFA-MCD	Accuracy	98.6	—	Unverified
4	Mean teacher	Accuracy	98.26	—	Unverified
5	DRANet	Accuracy	98.2	—	Unverified
6	SHOT	Accuracy	98	—	Unverified
7	DFA-ENT	Accuracy	97.9	—	Unverified
8	CyCleGAN (Light-weight Calibrator)	Accuracy	97.1	—	Unverified