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 6201–6225 of 6439 papers

Title	Date	Tasks	Status
Learning from a Neighbor: Adapting a Japanese Parser for Korean Through Feature Transfer Learning	Oct 1, 2014	Cross-Lingual TransferDependency Parsing	—Unverified
Latent Domain Phrase-based Models for Adaptation	Oct 1, 2014	Domain Adaptation	—Unverified
Semi-Supervised Chinese Word Segmentation Using Partial-Label Learning With Conditional Random Fields	Oct 1, 2014	Chinese Word SegmentationDomain Adaptation	—Unverified
Importance weighting and unsupervised domain adaptation of POS taggers: a negative result	Oct 1, 2014	Domain AdaptationPOS	—Unverified
Domain adaptation of weighted majority votes via perturbed variation-based self-labeling	Oct 1, 2014	Domain Adaptation	—Unverified
Toshiba MT System Description for the WAT2014 Workshop	Oct 1, 2014	Domain AdaptationMachine Translation	—Unverified
Domain Adaptation for CRF-based Chinese Word Segmentation using Free Annotations	Oct 1, 2014	Chinese Word SegmentationDomain Adaptation	—Unverified
Joint Emotion Analysis via Multi-task Gaussian Processes	Oct 1, 2014	Domain AdaptationEmotion Recognition	—Unverified
Location Recognition Over Large Time Lags	Sep 26, 2014	Domain Adaptation	—Unverified
Domain Adaptive Neural Networks for Object Recognition	Sep 21, 2014	DenoisingDomain Adaptation	—Unverified
Subspace Alignment For Domain Adaptation	Sep 18, 2014	Domain Adaptation	—Unverified
Hierarchical Adaptive Structural SVM for Domain Adaptation	Aug 22, 2014	Domain AdaptationGeneral Classification	—Unverified
Bayesian Multitask Learning with Latent Hierarchies	Aug 9, 2014	Domain Adaptation	—Unverified
POS error detection in automatically annotated corpora	Aug 1, 2014	Domain AdaptationPOS	—Unverified
Lightweight Client-Side Chinese/Japanese Morphological Analyzer Based on Online Learning	Aug 1, 2014	Domain AdaptationMorphological Analysis	CodeCode Available
A Generative Model for Identifying Target Companies of Microblogs	Aug 1, 2014	Domain AdaptationOpinion Mining	—Unverified
More or less supervised supersense tagging of Twitter	Aug 1, 2014	Domain AdaptationNamed Entity Recognition (NER)	—Unverified
Fast Domain Adaptation of SMT models without in-Domain Parallel Data	Aug 1, 2014	Domain AdaptationMachine Translation	—Unverified
UoW: Multi-task Learning Gaussian Process for Semantic Textual Similarity	Aug 1, 2014	Domain AdaptationInformation Retrieval	—Unverified
Annotation Adaptation and Language Adaptation in NLP	Aug 1, 2014	Domain Adaptation	—Unverified
Self-Training for Parsing Learner Text	Aug 1, 2014	Domain Adaptation	—Unverified
Class-Based Language Modeling for Translating into Morphologically Rich Languages	Aug 1, 2014	Domain AdaptationLanguage Modeling	—Unverified
Dependency Parsing: Past, Present, and Future	Aug 1, 2014	Dependency ParsingDomain Adaptation	—Unverified
Biber Redux: Reconsidering Dimensions of Variation in American English	Aug 1, 2014	Domain AdaptationInformation Retrieval	—Unverified
Automatic Corpus Expansion for Chinese Word Segmentation by Exploiting the Redundancy of Web Information	Aug 1, 2014	Chinese Word SegmentationDomain Adaptation	—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	CMKD	Accuracy	89	—	Unverified
5	PMTrans	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	DDA	Accuracy	88.9	—	Unverified
9	MEDM	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