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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 6151–6175 of 6439 papers

Title	Date	Tasks	Status	Hype
Translating Literary Text between Related Languages using SMT	Jun 1, 2015	Domain AdaptationMachine Translation	—Unverified	0
The Bare Necessities: Increasing Lexical Coverage for Multi-Word Domain Terms with Less Lexical Data	Jun 1, 2015	Domain Adaptation	—Unverified	0
Rule-based Coreference Resolution in German Historic Novels	Jun 1, 2015	coreference-resolutionCoreference Resolution	—Unverified	0
DCU: Using Distributional Semantics and Domain Adaptation for the Semantic Textual Similarity SemEval-2015 Task 2	Jun 1, 2015	Domain AdaptationSemantic Textual Similarity	—Unverified	0
Lisbon: Evaluating TurboSemanticParser on Multiple Languages and Out-of-Domain Data	Jun 1, 2015	Dependency ParsingDomain Adaptation	—Unverified	0
Combining Seemingly Incompatible Corpora for Implicit Semantic Role Labeling	Jun 1, 2015	Domain AdaptationMachine Translation	—Unverified	0
Deep Domain Adaptation for Describing People Based on Fine-Grained Clothing Attributes	Jun 1, 2015	AttributeDomain Adaptation	—Unverified	0
Beyond the Shortest Path : Unsupervised Domain Adaptation by Sampling Subspaces Along the Spline Flow	Jun 1, 2015	Domain AdaptationUnsupervised Domain Adaptation	—Unverified	0
Semi-Supervised Domain Adaptation With Subspace Learning for Visual Recognition	Jun 1, 2015	Domain AdaptationObject Recognition	—Unverified	0
Landmarks-Based Kernelized Subspace Alignment for Unsupervised Domain Adaptation	Jun 1, 2015	Domain AdaptationUnsupervised Domain Adaptation	—Unverified	0
Expanding Object Detector's Horizon: Incremental Learning Framework for Object Detection in Videos	Jun 1, 2015	Domain AdaptationIncremental Learning	—Unverified	0
Classifying Tweet Level Judgements of Rumours in Social Media	Jun 1, 2015	Domain AdaptationMulti-Task Learning	—Unverified	0
Domain-Adversarial Training of Neural Networks	May 28, 2015	Domain AdaptationDomain Generalization	CodeCode Available	1
Unsupervised Cross-Domain Word Representation Learning	May 27, 2015	Domain AdaptationRepresentation Learning	—Unverified	0
Domain Adaptation Extreme Learning Machines for Drift Compensation in E-nose Systems	May 24, 2015	Computational EfficiencyDomain Adaptation	—Unverified	0
Robust Visual Knowledge Transfer via EDA	May 17, 2015	Domain AdaptationObject Recognition	—Unverified	0
Pre-reordering for Statistical Machine Translation of Non-fictional Subtitles	May 1, 2015	Domain AdaptationMachine Translation	—Unverified	0
Evaluation of the domain adaptation of MT systems in ACCURAT	May 1, 2015	Domain AdaptationMachine Translation	—Unverified	0
HimL (Health in my Language)	May 1, 2015	Domain AdaptationMachine Translation	—Unverified	0
Dynamic Terminology Integration Methods in Statistical Machine Translation	May 1, 2015	Domain AdaptationLanguage Modelling	—Unverified	0
Improving cross-domain dependency parsing with dependency-derived clusters	May 1, 2015	Dependency ParsingDomain Adaptation	—Unverified	0
Short Answer Grading: When Sorting Helps and When it Doesn't	May 1, 2015	Domain Adaptation	CodeCode Available	0
Robust Morphological Tagging with Word Representations	May 1, 2015	Domain AdaptationMorphological Tagging	—Unverified	0
Continuous Adaptation to User Feedback for Statistical Machine Translation	May 1, 2015	Domain AdaptationMachine Translation	—Unverified	0
The Unreasonable Effectiveness of Word Representations for Twitter Named Entity Recognition	May 1, 2015	Domain AdaptationEntity Linking	—Unverified	0

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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