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 3176–3200 of 6439 papers

Title	Date	Tasks	Status	Hype
Cryo-shift: Reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization	Nov 17, 2021	ClassificationDomain Adaptation	—Unverified	0
QA Domain Adaptation using Data Augmentation and Contrastive Adaptation	Nov 16, 2021	Data AugmentationDomain Adaptation	—Unverified	0
Learning to Learn Recognising Biomedical Entities from Multiple Domains with Task Hardness	Nov 16, 2021	Domain AdaptationFew-Shot Learning	—Unverified	0
Visual-Language Navigation Pretraining via Prompt-based Environmental Self-exploration	Nov 16, 2021	Domain AdaptationVision-Language Navigation	—Unverified	0
Unsupervised Domain Adaptation with Contrastive Learning for Cross-domain Chinese NER	Nov 16, 2021	ArticlesContrastive Learning	—Unverified	0
Revisiting Softmax for Uncertainty Approximation in Text Classification	Nov 16, 2021	ClassificationDomain Adaptation	—Unverified	0
End-to-end Task-oriented Dialog Policy Learning based on Pre-trained Language Model	Nov 16, 2021	dialog state trackingDomain Adaptation	—Unverified	0
Unsupervised Domain Adaptation for Event Detection via Meta Self-Paced Learning	Nov 16, 2021	Domain AdaptationEvent Detection	—Unverified	0
ECSpell^UD: Zero-shot Domain Adaptive Chinese Spelling Check with User Dictionary	Nov 16, 2021	Domain Adaptationtoken-classification	—Unverified	0
A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models	Nov 16, 2021	Domain Adaptation	—Unverified	0
DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation	Nov 16, 2021	counterfactualDomain Adaptation	—Unverified	0
Building Chinese Biomedical Language Models via Multi-Level Text Discrimination	Nov 16, 2021	Domain Adaptation	CodeCode Available	0
Incorporating Multiple Knowledge Sources for Targeted Aspect-based Financial Sentiment Analysis	Nov 16, 2021	Domain AdaptationLanguage Modeling	—Unverified	0
Non-Parametric Domain Adaptation for End-to-End Speech Translation	Nov 16, 2021	Domain AdaptationTranslation	—Unverified	0
The Change that Matters in Discourse Parsing: Estimating the Impact of Domain Shift on Parser Error	Nov 16, 2021	Discourse ParsingDomain Adaptation	—Unverified	0
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER	Nov 16, 2021	Domain AdaptationFew-Shot Text Classification	—Unverified	0
Modular Domain Adaptation	Nov 16, 2021	Domain Adaptationtext-classification	—Unverified	0
Synthetic Question Value Estimation for Domain Adaptation of Question Answering	Nov 16, 2021	Domain AdaptationQuestion Answering	—Unverified	0
Cost-Effective Training in Low-Resource Neural Machine Translation	Nov 16, 2021	Active LearningDomain Adaptation	—Unverified	0
Towards a Fine-Grained Multi-Domain Neural Machine Translation Using Inter-Domain Relationships	Nov 16, 2021	Domain AdaptationMachine Translation	—Unverified	0
KALA: Knowledge-Augmented Language Model Adaptation	Nov 16, 2021	Domain AdaptationGeneral Knowledge	—Unverified	0
Causal Effect Variational Autoencoder with Uniform Treatment	Nov 16, 2021	Causal InferenceDomain Adaptation	—Unverified	0
On-Demand Unlabeled Personalized Federated Learning	Nov 16, 2021	Domain AdaptationFederated Learning	—Unverified	0
Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation	Nov 15, 2021	Autonomous DrivingDomain Adaptation	—Unverified	0
HLT-NUS SUBMISSION FOR 2020 NIST Conversational Telephone Speech SRE	Nov 12, 2021	Domain AdaptationSpeaker Recognition	CodeCode Available	1

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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