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 1326–1350 of 6439 papers

Title	Date	Tasks	Status
CDS: Cross-Domain Self-Supervised Pre-Training	Jan 1, 2021	Domain AdaptationTransfer Learning	—Unverified
An introduction to domain adaptation and transfer learning	Dec 31, 2018	BIG-bench Machine LearningDomain Adaptation	—Unverified
Forward-Backward Splitting for Optimal Transport based Problems	Sep 20, 2019	Domain Adaptation	—Unverified
An Intelligent Gearbox Fault Diagnosis under Different Operating Conditions using Adversarial Domain Adaptation	Mar 2, 2022	DiagnosticDomain Adaptation	—Unverified
DeMIAN: Deep Modality Invariant Adversarial Network	Dec 23, 2016	Domain AdaptationGeneral Classification	—Unverified
CDA: Contrastive-adversarial Domain Adaptation	Jan 10, 2023	Contrastive LearningDomain Adaptation	—Unverified
Integrating Pre-Trained Speech and Language Models for End-to-End Speech Recognition	Dec 6, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems	Oct 13, 2019	Domain AdaptationFault Detection	—Unverified
On the Generalization for Transfer Learning: An Information-Theoretic Analysis	Jul 12, 2022	Domain AdaptationTransfer Learning	—Unverified
AdAM: Few-Shot Image Generation via Adaptation-Aware Kernel Modulation	Jul 4, 2023	Domain AdaptationImage Generation	—Unverified
Demographic Factors Improve Classification Performance	Jul 1, 2015	ClassificationDomain Adaptation	—Unverified
Causal Inference Isn't Special: Why It's Just Another Prediction Problem	Apr 6, 2025	Causal InferenceDomain Adaptation	—Unverified
Causal Generative Domain Adaptation Networks	Apr 12, 2018	Computational EfficiencyDomain Adaptation	—Unverified
An Inductive Transfer Learning Approach using Cycle-consistent Adversarial Domain Adaptation with Application to Brain Tumor Segmentation	May 11, 2020	Brain Tumor SegmentationDomain Adaptation	—Unverified
Causal Embeddings for Recommendation: An Extended Abstract	Apr 10, 2019	Domain Adaptation	—Unverified
A Dependency Parser for Tweets	Oct 1, 2014	Dependency ParsingDomain Adaptation	—Unverified
Bias and Generalizability of Foundation Models across Datasets in Breast Mammography	May 14, 2025	Domain AdaptationFairness	—Unverified
Causal Effect Variational Autoencoder with Uniform Treatment	Nov 16, 2021	Causal InferenceDomain Adaptation	—Unverified
An Improvement to the Domain Adaptation Bound in a PAC-Bayesian context	Jan 13, 2015	Domain Adaptation	—Unverified
Ani-GIFs: A benchmark dataset for domain generalization of action recognition from GIFs	Sep 26, 2022	Action RecognitionAnimated GIF Generation	—Unverified
Causal Disentanglement Hidden Markov Model for Fault Diagnosis	Aug 6, 2023	DisentanglementDomain Adaptation	—Unverified
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction	Jun 18, 2024	Causal DiscoveryDomain Adaptation	—Unverified
De l'extraction des interactions m\'edicament-m\'edicament vers les interactions aliment-m\'edicament \`a partir de textes biom\'edicaux: Adaptation de domaine (From the extraction of drug-drug interactions to the food-drug interactions in biomedical texts : domain adaptation)	Jul 1, 2019	Domain AdaptationRelation	—Unverified
DemoSG: Demonstration-enhanced Schema-guided Generation for Low-resource Event Extraction	Oct 16, 2023	Domain AdaptationEvent Extraction	—Unverified
Density Matters: Improved Core-set for Active Domain Adaptive Segmentation	Dec 15, 2023	Domain AdaptationSemantic Segmentation	—Unverified

Show:10 25 50

← PrevPage 54 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