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 1851–1875 of 6439 papers

Title	Date	Tasks	Status
Domain Adaptation for Neural Networks by Parameter Augmentation	Jul 1, 2016	Caption GenerationDomain Adaptation	—Unverified
Domain Adaptation for NMT via Filtered Iterative Back-Translation	Apr 1, 2021	Domain AdaptationMachine Translation	—Unverified
Angular Visual Hardness	Dec 4, 2019	Domain AdaptationDomain Generalization	—Unverified
Efficient and Multiply Robust Risk Estimation under General Forms of Dataset Shift	Jun 28, 2023	Domain AdaptationTransfer Learning	—Unverified
ODES: Domain Adaptation with Expert Guidance for Online Medical Image Segmentation	Dec 8, 2023	Active LearningDomain Adaptation	—Unverified
Domain-invariant feature learning in brain MR imaging for content-based image retrieval	Jan 2, 2025	Content-Based Image RetrievalDomain Adaptation	—Unverified
Domain Adaptation for Parsing	Sep 1, 2013	Dependency ParsingDomain Adaptation	—Unverified
Domain adaptation for part-of-speech tagging of noisy user-generated text	May 21, 2019	Domain AdaptationPart-Of-Speech Tagging	—Unverified
Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network	Nov 1, 2019	Domain AdaptationSentence	—Unverified
An Improvement to the Domain Adaptation Bound in a PAC-Bayesian context	Jan 13, 2015	Domain Adaptation	—Unverified
Causal Effect Variational Autoencoder with Uniform Treatment	Nov 16, 2021	Causal InferenceDomain Adaptation	—Unverified
Domain Adaptation for Rare Classes Augmented with Synthetic Samples	Oct 23, 2021	2k8k	—Unverified
Domain Adaptation for Real-World Single View 3D Reconstruction	Aug 24, 2021	3D ReconstructionDomain Adaptation	—Unverified
Domain Adaptation for Reinforcement Learning on the Atari	Dec 18, 2018	continuous-controlContinuous Control	—Unverified
Domain Adaptation for Relation Extraction with Domain Adversarial Neural Network	Nov 1, 2017	Domain AdaptationRelation	—Unverified
Domain Adaptation for Resume Classification Using Convolutional Neural Networks	Jul 18, 2017	ClassificationDomain Adaptation	—Unverified
Domain Adaptation for Robust Workload Level Alignment Between Sessions and Subjects using fNIRS	Jul 2, 2020	Domain Adaptation	—Unverified
Domain Adaptation for Satellite-Borne Hyperspectral Cloud Detection	Sep 5, 2023	Cloud DetectionDomain Adaptation	—Unverified
Domain Adaptation for Semantic Parsing	Jun 23, 2020	Domain AdaptationSemantic Parsing	—Unverified
Causal Inference Isn't Special: Why It's Just Another Prediction Problem	Apr 6, 2025	Causal InferenceDomain Adaptation	—Unverified
DAVOS: Semi-Supervised Video Object Segmentation via Adversarial Domain Adaptation	May 21, 2021	Domain AdaptationSemantic Segmentation	—Unverified
Student Surpasses Teacher: Imitation Attack for Black-Box NLP APIs	Aug 29, 2021	Domain AdaptationModel extraction	—Unverified
DAViD: Domain Adaptive Visually-Rich Document Understanding with Synthetic Insights	Oct 2, 2024	document understandingDomain Adaptation	—Unverified
Domain Adaptation for Sentiment Analysis Using Increased Intraclass Separation	Jul 4, 2021	Domain AdaptationMarketing	—Unverified
DAugNet: Unsupervised, Multi-source, Multi-target, and Life-long Domain Adaptation for Semantic Segmentation of Satellite Images	May 13, 2020	Domain AdaptationSemantic Segmentation	—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