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 1426–1450 of 6439 papers

Title	Date	Tasks	Status	Score
Intermediate Domain-guided Adaptation for Unsupervised Chorioallantoic Membrane Vessel Segmentation	Mar 5, 2025	Contrastive LearningDomain Adaptation	CodeCode Available	5
BiPC: Bidirectional Probability Calibration for Unsupervised Domain Adaption	Sep 29, 2024	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	5
BioM-Transformers: Building Large Biomedical Language Models with BERT, ALBERT and ELECTRA	Jun 1, 2021	Domain AdaptationRelation Extraction	CodeCode Available	5
All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation	Mar 26, 2019	AllDomain Adaptation	CodeCode Available	5
Integration of Old and New Knowledge for Generalized Intent Discovery: A Consistency-driven Prototype-Prompting Framework	Jun 10, 2025	Domain AdaptationIntent Detection	CodeCode Available	5
Alioth: A Machine Learning Based Interference-Aware Performance Monitor for Multi-Tenancy Applications in Public Cloud	Jul 18, 2023	CPUDecision Making	CodeCode Available	5
Interactive Learning for Semantic Segmentation in Earth Observation	Sep 23, 2020	Domain AdaptationEarth Observation	CodeCode Available	5
BioADAPT-MRC: Adversarial Learning-based Domain Adaptation Improves Biomedical Machine Reading Comprehension Task	Feb 26, 2022	Domain AdaptationMachine Reading Comprehension	CodeCode Available	5
Instance-level Heterogeneous Domain Adaptation for Limited-labeled Sketch-to-Photo Retrieval	Nov 26, 2022	Domain AdaptationImage Retrieval	CodeCode Available	5
BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation	Aug 6, 2021	Domain AdaptationScene Segmentation	CodeCode Available	5
Instance Weighting for Neural Machine Translation Domain Adaptation	Sep 1, 2017	Domain AdaptationMachine Translation	CodeCode Available	5
Informative Data Mining for One-Shot Cross-Domain Semantic Segmentation	Sep 25, 2023	Domain AdaptationSemantic Segmentation	CodeCode Available	5
Bi-discriminator Domain Adversarial Neural Networks with Class-Level Gradient Alignment	Oct 21, 2023	Contrastive LearningDomain Adaptation	CodeCode Available	5
A Batch Normalization Classifier for Domain Adaptation	Mar 22, 2021	Domain Adaptation	CodeCode Available	5
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness	Dec 8, 2020	Domain AdaptationTime Series	CodeCode Available	5
Interpretations of Domain Adaptations via Layer Variational Analysis	Feb 3, 2023	Domain AdaptationTransfer Learning	CodeCode Available	5
Aligning Hyperbolic Representations: an Optimal Transport-based approach	Dec 2, 2020	Domain AdaptationOntology Matching	CodeCode Available	5
Adaptive Semi-Supervised Segmentation of Brain Vessels with Ambiguous Labels	Aug 7, 2023	Domain AdaptationDomain Generalization	CodeCode Available	5
Model Transferability With Responsive Decision Subjects	Jul 13, 2021	BIG-bench Machine LearningDomain Adaptation	CodeCode Available	5
Bidirectional Domain Adaptation Using Weighted Multi-Task Learning	Aug 1, 2021	Domain AdaptationMulti-Task Learning	CodeCode Available	5
Independent Feature Decomposition and Instance Alignment for Unsupervised Domain Adaptation	Apr 19, 2023	Domain AdaptationTransfer Learning	CodeCode Available	5
Cross-Domain Semantic Segmentation on Inconsistent Taxonomy using VLMs	Aug 5, 2024	Domain AdaptationSegmentation	CodeCode Available	5
Inexpensive Domain Adaptation of Pretrained Language Models: Case Studies on Biomedical NER and Covid-19 QA	Apr 7, 2020	Domain Adaptationnamed-entity-recognition	CodeCode Available	5
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows	May 30, 2019	Density EstimationDomain Adaptation	CodeCode Available	5
Improving Unsupervised Domain Adaptation by Reducing Bi-level Feature Redundancy	Dec 28, 2020	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	5

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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