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

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Showing 1501–1525 of 6439 papers

Title	Date	Tasks	Status	Score
Improving Unsupervised Domain Adaptation by Reducing Bi-level Feature Redundancy	Dec 28, 2020	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	5
DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns	May 26, 2019	Domain AdaptationRecommendation Systems	CodeCode Available	5
DARCNN: Domain Adaptive Region-based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images	Apr 3, 2021	Domain AdaptationInstance Segmentation	CodeCode Available	5
Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation	Oct 6, 2022	Domain AdaptationLanguage Modeling	CodeCode Available	5
Independent Feature Decomposition and Instance Alignment for Unsupervised Domain Adaptation	Apr 19, 2023	Domain AdaptationTransfer Learning	CodeCode Available	5
Improving Rumor Detection by Class-based Adversarial Domain Adaptation	Oct 1, 2023	Domain AdaptationEvent Detection	CodeCode Available	5
A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors	May 14, 2018	Document ClassificationDomain Adaptation	CodeCode Available	5
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification	Apr 3, 2019	Domain AdaptationDomain Adaptive Person Re-Identification	CodeCode Available	5
Investigating the performance of Retrieval-Augmented Generation and fine-tuning for the development of AI-driven knowledge-based systems	Mar 12, 2024	Domain AdaptationHallucination	CodeCode Available	5
Is Modularity Transferable? A Case Study through the Lens of Knowledge Distillation	Mar 27, 2024	Domain AdaptationKnowledge Distillation	CodeCode Available	5
Improving Span Representation for Domain-adapted Coreference Resolution	Sep 20, 2021	coreference-resolutionCoreference Resolution	CodeCode Available	5
Data Selection Strategies for Multi-Domain Sentiment Analysis	Feb 8, 2017	Domain AdaptationSentiment Analysis	CodeCode Available	5
DAPoinTr: Domain Adaptive Point Transformer for Point Cloud Completion	Dec 26, 2024	DecoderDomain Adaptation	CodeCode Available	5
Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation	Aug 12, 2019	Domain AdaptationMRI segmentation	CodeCode Available	5
Improving the Generalizability of Collaborative Dialogue Analysis with Multi-Feature Embeddings	Feb 9, 2023	Domain Adaptation	CodeCode Available	5
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back-Translation	Nov 1, 2019	Data AugmentationDiversity	CodeCode Available	5
Data Valuation using Reinforcement Learning	Sep 25, 2019	Data ValuationDomain Adaptation	CodeCode Available	5
DATE: Domain Adaptive Product Seeker for E-commerce	Apr 7, 2023	Domain AdaptationRetrieval	CodeCode Available	5
Improving Pseudo Labels With Intra-Class Similarity for Unsupervised Domain Adaptation	Jul 25, 2022	Domain AdaptationUnsupervised Domain Adaptation	CodeCode Available	5
Improving the Generalization of Adversarial Training with Domain Adaptation	Oct 1, 2018	Adversarial AttackDomain Adaptation	CodeCode Available	5
Inter-Domain Alignment for Predicting High-Resolution Brain Networks Using Teacher-Student Learning	Oct 6, 2021	DecoderDomain Adaptation	CodeCode Available	5
Improving Both Domain Robustness and Domain Adaptability in Machine Translation	Dec 15, 2021	Domain AdaptationMachine Translation	CodeCode Available	5
Improving Adversarial Robustness in Android Malware Detection by Reducing the Impact of Spurious Correlations	Aug 27, 2024	Adversarial RobustnessAndroid Malware Detection	CodeCode Available	5
Joint-Optimized Unsupervised Adversarial Domain Adaptation in Remote Sensing Segmentation with Prompted Foundation Model	Nov 8, 2024	DecoderDomain Adaptation	CodeCode Available	5
Improving Document Binarization via Adversarial Noise-Texture Augmentation	Oct 25, 2018	Adversarial RobustnessBinarization	CodeCode Available	5

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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