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 1401–1425 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
Learning Smooth Representation for Unsupervised Domain Adaptation	May 26, 2019	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	5
Boosting Domain Adaptation by Discovering Latent Domains	May 3, 2018	Domain Adaptation	CodeCode Available	5
Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification	Aug 30, 2019	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	5
Boosting Cross-Domain Speech Recognition with Self-Supervision	Jun 20, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
Interactive Learning for Semantic Segmentation in Earth Observation	Sep 23, 2020	Domain AdaptationEarth Observation	CodeCode Available	5
Inter-Domain Alignment for Predicting High-Resolution Brain Networks Using Teacher-Student Learning	Oct 6, 2021	DecoderDomain Adaptation	CodeCode Available	5
Interpretations of Domain Adaptations via Layer Variational Analysis	Feb 3, 2023	Domain AdaptationTransfer Learning	CodeCode Available	5
Iterative pseudo-forced alignment by acoustic CTC loss for self-supervised ASR domain adaptation	Oct 27, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
Boosting Cross-Domain Point Classification via Distilling Relational Priors from 2D Transformers	Jul 26, 2024	Domain AdaptationDomain Generalization	CodeCode Available	5
Instance Weighting for Neural Machine Translation Domain Adaptation	Sep 1, 2017	Domain AdaptationMachine Translation	CodeCode Available	5
Adaptor: Objective-Centric Adaptation Framework for Language Models	Mar 8, 2022	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	5
Instance-level Heterogeneous Domain Adaptation for Limited-labeled Sketch-to-Photo Retrieval	Nov 26, 2022	Domain AdaptationImage Retrieval	CodeCode Available	5
A Bayesian-inspired, deep learning-based, semi-supervised domain adaptation technique for land cover mapping	May 25, 2020	Domain AdaptationManagement	CodeCode Available	5
Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks	Jul 8, 2019	Domain AdaptationMulti-target Domain Adaptation	CodeCode Available	5
AdaptiVocab: Enhancing LLM Efficiency in Focused Domains through Lightweight Vocabulary Adaptation	Mar 25, 2025	Domain AdaptationGPU	CodeCode Available	5
Black-box Unsupervised Domain Adaptation with Bi-directional Atkinson-Shiffrin Memory	Aug 25, 2023	Domain Adaptationimage-classification	CodeCode Available	5
Informative Data Mining for One-Shot Cross-Domain Semantic Segmentation	Sep 25, 2023	Domain AdaptationSemantic Segmentation	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
Model Transferability With Responsive Decision Subjects	Jul 13, 2021	BIG-bench Machine LearningDomain 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
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
"I've Heard of You!": Generate Spoken Named Entity Recognition Data for Unseen Entities	Dec 26, 2024	Domain AdaptationLanguage Modeling	CodeCode Available	5
Improving Unsupervised Domain Adaptation by Reducing Bi-level Feature Redundancy	Dec 28, 2020	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	5
Alleviating Human-level Shift : A Robust Domain Adaptation Method for Multi-person Pose Estimation	Aug 13, 2020	2D Pose EstimationDomain Adaptation	CodeCode Available	5

Show:10 25 50

← PrevPage 57 of 258Next →

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