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 5201–5225 of 6439 papers

Title	Date	Tasks	Status
Semi-supervised Domain Adaptation for Dependency Parsing	Jul 1, 2019	Chinese Dependency ParsingDependency Parsing	CodeCode Available
Neural Temporality Adaptation for Document Classification: Diachronic Word Embeddings and Domain Adaptation Models	Jul 1, 2019	ClassificationDiachronic Word Embeddings	CodeCode Available
English-Indonesian Neural Machine Translation for Spoken Language Domains	Jul 1, 2019	Domain AdaptationMachine Translation	—Unverified
PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation	Jun 27, 2019	Chinese Word SegmentationDomain Adaptation	CodeCode Available
DASGAN -- Joint Domain Adaptation and Segmentation for the Analysis of Epithelial Regions in Histopathology PD-L1 Images	Jun 26, 2019	Domain AdaptationImage-to-Image Translation	—Unverified
Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation	Jun 26, 2019	Domain AdaptationImage Segmentation	CodeCode Available
Transfer of Machine Learning Fairness across Domains	Jun 24, 2019	AttributeBIG-bench Machine Learning	—Unverified
Decomposable Neural Paraphrase Generation	Jun 24, 2019	Domain AdaptationParaphrase Generation	—Unverified
Bayesian Uncertainty Matching for Unsupervised Domain Adaptation	Jun 24, 2019	Domain AdaptationUnsupervised Domain Adaptation	—Unverified
Cross-Subject Statistical Shift Estimation for Generalized Electroencephalography-based Mental Workload Assessment	Jun 20, 2019	Domain AdaptationEEG	—Unverified
Screening Sinkhorn Algorithm for Regularized Optimal Transport	Jun 20, 2019	Dimensionality ReductionDomain Adaptation	CodeCode Available
Domain Adaptation for Enterprise Email Search	Jun 19, 2019	Domain AdaptationInformation Retrieval	—Unverified
Multilingual Multi-Domain Adaptation Approaches for Neural Machine Translation	Jun 19, 2019	Domain AdaptationMachine Translation	—Unverified
Text Readability Assessment for Second Language Learners	Jun 18, 2019	Domain AdaptationSelf-Learning	CodeCode Available
Locality Preserving Joint Transfer for Domain Adaptation	Jun 18, 2019	Domain AdaptationTransfer Learning	CodeCode Available
Tackling Partial Domain Adaptation with Self-Supervision	Jun 12, 2019	Domain AdaptationDomain Generalization	—Unverified
Transferrable Operative Difficulty Assessment in Robot-assisted Teleoperation: A Domain Adaptation Approach	Jun 12, 2019	Domain AdaptationSteering Control	—Unverified
SALT: Subspace Alignment as an Auxiliary Learning Task for Domain Adaptation	Jun 11, 2019	Auxiliary LearningDomain Adaptation	—Unverified
Transfer Learning for Ultrasound Tongue Contour Extraction with Different Domains	Jun 10, 2019	Domain AdaptationMedical Image Analysis	—Unverified
SAR: Learning Cross-Language API Mappings with Little Knowledge	Jun 10, 2019	Domain AdaptationTranslation	—Unverified
Joint Semantic Domain Alignment and Target Classifier Learning for Unsupervised Domain Adaptation	Jun 10, 2019	Domain AdaptationUnsupervised Domain Adaptation	—Unverified
Cross-view Semantic Segmentation for Sensing Surroundings	Jun 9, 2019	Domain AdaptationSemantic Segmentation	CodeCode Available
Domain Adaptive Dialog Generation via Meta Learning	Jun 8, 2019	Domain AdaptationMeta-Learning	CodeCode Available
Attending to Discriminative Certainty for Domain Adaptation	Jun 8, 2019	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available
Semi-supervised Stochastic Multi-Domain Learning using Variational Inference	Jun 7, 2019	Domain AdaptationVariational Inference	—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