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 1801–1825 of 6439 papers

Title	Date	Tasks	Status
An Empirical Study on Measuring the Similarity of Sentential Arguments with Language Model Domain Adaptation	Feb 19, 2021	Argument MiningClustering	—Unverified
Domain Adaptation by Maximizing Population Correlation with Neural Architecture Search	Sep 12, 2021	Domain AdaptationNeural Architecture Search	—Unverified
Domain Generalization in Biosignal Classification	Nov 12, 2020	ClassificationDomain Adaptation	—Unverified
Domain Adaptation by Topology Regularization	Jan 28, 2021	Domain AdaptationTopological Data Analysis	—Unverified
Can Data Diversity Enhance Learning Generalization?	Oct 1, 2022	DiversityDomain Adaptation	—Unverified
Domain adaptation challenges of BERT in tokenization and sub-word representations of Out-of-Vocabulary words	Nov 1, 2020	Domain AdaptationWord Embeddings	—Unverified
Dual Moving Average Pseudo-Labeling for Source-Free Inductive Domain Adaptation	Dec 15, 2022	Domain AdaptationSource-Free Domain Adaptation	—Unverified
Effective Domain Mixing for Neural Machine Translation	Sep 1, 2017	Domain AdaptationMachine Translation	—Unverified
Can Domain Adaptation be Handled as Analogies?	May 1, 2018	Aspect-Based Sentiment Analysis (ABSA)Document Classification	—Unverified
Domain Adaptation for Arabic Machine Translation: The Case of Financial Texts	Sep 22, 2023	ArticlesBenchmarking	—Unverified
Domain Adaptation for Authorship Attribution: Improved Structural Correspondence Learning	Aug 1, 2016	Authorship AttributionDimensionality Reduction	—Unverified
DDF: A Novel Dual-Domain Image Fusion Strategy for Remote Sensing Image Semantic Segmentation with Unsupervised Domain Adaptation	Mar 5, 2024	Domain AdaptationPseudo Label	—Unverified
Domain Adaptation for Coreference Resolution: An Adaptive Ensemble Approach	Jul 1, 2012	coreference-resolutionCoreference Resolution	—Unverified
Domain Adaptation for CRF-based Chinese Word Segmentation using Free Annotations	Oct 1, 2014	Chinese Word SegmentationDomain Adaptation	—Unverified
Beyond Sharing Weights for Deep Domain Adaptation	Mar 21, 2016	Domain AdaptationObject Recognition	—Unverified
DCU: Using Distributional Semantics and Domain Adaptation for the Semantic Textual Similarity SemEval-2015 Task 2	Jun 1, 2015	Domain AdaptationSemantic Textual Similarity	—Unverified
Domain Adaptation for Dense Retrieval and Conversational Dense Retrieval through Self-Supervision by Meticulous Pseudo-Relevance Labeling	Mar 13, 2024	Conversational SearchDomain Adaptation	—Unverified
Domain Adaptation for Dense Retrieval through Self-Supervision by Pseudo-Relevance Labeling	Dec 13, 2022	Domain AdaptationInformation Retrieval	—Unverified
Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations	Apr 6, 2022	Contrastive LearningDomain Adaptation	—Unverified
Domain Adaptation for Deviating Acquisition Protocols in CNN-based Lesion Classification on Diffusion-Weighted MR Images	Jul 17, 2018	Cancer ClassificationDomain Adaptation	—Unverified
Domain Adaptation for Disease Phrase Matching with Adversarial Networks	Jul 1, 2018	Domain AdaptationEntity Linking	—Unverified
Adaptive Object Detection with Dual Multi-Label Prediction	Mar 29, 2020	Domain AdaptationImage-to-Image Translation	—Unverified
Domain Alignment with Triplets	Dec 3, 2018	Domain AdaptationTriplet	—Unverified
Day-Night Adaptation: An Innovative Source-free Adaptation Framework for Medical Image Segmentation	Oct 17, 2024	Domain AdaptationImage Segmentation	—Unverified
Day2Dark: Pseudo-Supervised Activity Recognition beyond Silent Daylight	Dec 5, 2022	Activity RecognitionDomain Adaptation	—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	PMTrans	Accuracy	89	—	Unverified
5	CMKD	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	MEDM	Accuracy	88.9	—	Unverified
9	DDA	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