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 2251–2275 of 6439 papers

Title	Date	Tasks	Status
crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023	Jun 13, 2025	BenchmarkingDomain Adaptation	—Unverified
Automatic Extraction of Time Expressions Accross Domains in French Narratives	Sep 1, 2015	Domain AdaptationRelation Extraction	—Unverified
CrossMatch: Source-Free Domain Adaptive Semantic Segmentation via Cross-Modal Consistency Training	Jan 1, 2023	DenoisingDomain Adaptation	—Unverified
Automatic Double Reinforcement Learning in Semiparametric Markov Decision Processes with Applications to Long-Term Causal Inference	Jan 12, 2025	Causal InferenceDimensionality Reduction	—Unverified
Adaptive Adversarial Network for Source-Free Domain Adaptation	Jan 1, 2021	Domain AdaptationSource-Free Domain Adaptation	—Unverified
Adaptive^2: Adaptive Domain Mining for Fine-grained Domain Adaptation Modeling	Dec 11, 2024	Domain Adaptation	—Unverified
Automatic Domain Adaptation Outperforms Manual Domain Adaptation for Predicting Financial Outcomes	Jun 25, 2020	Domain Adaptation	—Unverified
A General Approach to Domain Adaptation with Applications in Astronomy	Dec 20, 2018	Active LearningAstronomy	—Unverified
Cross-lingual Transfer of Named Entity Recognizers without Parallel Corpora	Jul 1, 2015	Cross-Lingual TransferDependency Parsing	—Unverified
Cross-lingual Transfer of Monolingual Models	Sep 15, 2021	Cross-Lingual TransferDomain Adaptation	—Unverified
Automatic Domain Adaptation for Word Sense Disambiguation Based on Comparison of Multiple Classifiers	Nov 1, 2012	Domain AdaptationWord Sense Disambiguation	—Unverified
A general approach to bridge the reality-gap	Sep 3, 2020	BIG-bench Machine LearningData Augmentation	—Unverified
Cross lingual transfer learning for zero-resource domain adaptation	Oct 29, 2019	Acoustic ModellingCross-Lingual Transfer	—Unverified
Cross-lingual Text-independent Speaker Verification using Unsupervised Adversarial Discriminative Domain Adaptation	Aug 5, 2019	Domain AdaptationSpeaker Verification	—Unverified
Automatic Domain Adaptation by Transformers in In-Context Learning	May 27, 2024	Domain AdaptationIn-Context Learning	—Unverified
Cross-Lingual Domain Adaptation for Dependency Parsing	Oct 1, 2020	Dependency ParsingDomain Adaptation	—Unverified
Cross-lingual Universal Dependency Parsing Only from One Monolingual Treebank	Dec 24, 2020	Cross-Lingual TransferDependency Parsing	—Unverified
Automatic Data Augmentation for Domain Adapted Fine-Tuning of Self-Supervised Speech Representations	Jun 1, 2023	Data AugmentationDomain Adaptation	—Unverified
FADACS: A Few-shot Adversarial Domain Adaptation Architecture for Context-Aware Parking Availability Sensing	Jul 13, 2020	Domain AdaptationTransfer Learning	—Unverified
Cross-lingual Adaptation for Recipe Retrieval with Mixup	May 8, 2022	Domain AdaptationRetrieval	—Unverified
Automatic Corpus Expansion for Chinese Word Segmentation by Exploiting the Redundancy of Web Information	Aug 1, 2014	Chinese Word SegmentationDomain Adaptation	—Unverified
Cross-language Learning with Adversarial Neural Networks	Aug 1, 2017	Community Question AnsweringDomain Adaptation	—Unverified
Cross-Language Domain Adaptation for Classifying Crisis-Related Short Messages	Feb 17, 2016	Domain Adaptation	—Unverified
Automatic Analysis of the Emotional Content of Speech in Daylong Child-Centered Recordings from a Neonatal Intensive Care Unit	Jun 14, 2021	Active LearningBinary Classification	—Unverified
Age and Gender Classification From Ear Images	Jun 14, 2018	Age And Gender ClassificationAge Classification	—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