Transfer Learning

Transfer Learning is a machine learning technique where a model trained on one task is re-purposed and fine-tuned for a related, but different task. The idea behind transfer learning is to leverage the knowledge learned from a pre-trained model to solve a new, but related problem. This can be useful in situations where there is limited data available to train a new model from scratch, or when the new task is similar enough to the original task that the pre-trained model can be adapted to the new problem with only minor modifications.

( Image credit: Subodh Malgonde )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 3226–3250 of 10307 papers

Title	Date	Tasks	Status	Score
ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale	Oct 2, 2023	Multi-Task LearningTransfer Learning	CodeCode Available	5
A Survey on Deep Learning of Small Sample in Biomedical Image Analysis	Aug 1, 2019	Active LearningData Augmentation	CodeCode Available	5
Exclusive Supermask Subnetwork Training for Continual Learning	Oct 18, 2022	Continual LearningText Classification	CodeCode Available	5
EvoCLINICAL: Evolving Cyber-Cyber Digital Twin with Active Transfer Learning for Automated Cancer Registry System	Sep 6, 2023	Active LearningTransfer Learning	CodeCode Available	5
EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural Networks	Feb 8, 2022	Computational Efficiencyfeature selection	CodeCode Available	5
Expanding the Horizon: Enabling Hybrid Quantum Transfer Learning for Long-Tailed Chest X-Ray Classification	Apr 30, 2024	Binary ClassificationClassification	CodeCode Available	5
Exploiting Graph Structured Cross-Domain Representation for Multi-Domain Recommendation	Feb 12, 2023	Multi-Domain Recommender SystemsRecommendation Systems	CodeCode Available	5
DS@GT at CheckThat! 2025: Detecting Subjectivity via Transfer-Learning and Corrective Data Augmentation	Jul 8, 2025	ARCData Augmentation	CodeCode Available	5
Evaluation of deep neural networks for traffic sign detection systems	Nov 17, 2018	Autonomous Drivingobject-detection	CodeCode Available	5
Evaluating the Values of Sources in Transfer Learning	Apr 26, 2021	Cross-Lingual POS TaggingTransfer Learning	CodeCode Available	5
Evaluation and Comparison of Deep Learning Methods for Pavement Crack Identification with Visual Images	Dec 20, 2021	Contact DetectionDecoder	CodeCode Available	5
A Survey on Causal Representation Learning and Future Work for Medical Image Analysis	Oct 28, 2022	Causal InferenceMedical Image Analysis	CodeCode Available	5
Conversational AI for Positive-sum Retailing under Falsehood Control	May 1, 2022	Decision MakingMulti-agent Reinforcement Learning	CodeCode Available	5
Evaluating Fast Adaptability of Neural Networks for Brain-Computer Interface	Apr 14, 2024	Brain Computer InterfaceDomain Adaptation	CodeCode Available	5
Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine Translation	Jul 6, 2019	BenchmarkingDomain Adaptation	CodeCode Available	5
Estimating encoding models of cortical auditory processing using naturalistic stimuli and transfer learning	Sep 11, 2019	Transfer Learning	CodeCode Available	5
Estimated Depth Map Helps Image Classification	Sep 20, 2017	ClassificationDepth Estimation	CodeCode Available	5
Establishing Deep InfoMax as an effective self-supervised learning methodology in materials informatics	Jun 30, 2024	Band GapFormation Energy	CodeCode Available	5
Seeded iterative clustering for histology region identification	Nov 14, 2022	ClusteringSegmentation	CodeCode Available	5
Estimating Buildings' Parameters over Time Including Prior Knowledge	Jan 9, 2019	Causal Inferenceparameter estimation	CodeCode Available	5
ETT-CKGE: Efficient Task-driven Tokens for Continual Knowledge Graph Embedding	Jun 9, 2025	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available	5
SelaFD:Seamless Adaptation of Vision Transformer Fine-tuning for Radar-based Human Activity	Feb 7, 2025	Activity RecognitionHuman Activity Recognition	CodeCode Available	5
Selecting the Best Sequential Transfer Path for Medical Image Segmentation with Limited Labeled Data	Oct 9, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	5
Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes	Nov 25, 2020	Gaussian ProcessesTransfer Learning	CodeCode Available	5
EPRNet: Efficient Pyramid Representation Network for Real-Time Street Scene Segmentation	Mar 23, 2021	image-classificationImage Classification	CodeCode Available	5

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All datasets Office-Home 100 sleep nights of 8 caregivers BanglaLekha Isolated Dataset COCO70 KITTI Object Tracking Evaluation 2012 Retinal Fundus MultiDisease Image Dataset (RFMiD)

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	APCLIP	Accuracy	84.2	—	Unverified
2	DFA-ENT	Accuracy	69.2	—	Unverified
3	DFA-SAFN	Accuracy	69.1	—	Unverified
4	EasyTL	Accuracy	63.3	—	Unverified
5	MEDA	Accuracy	60.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CNN	10-20% Mask PSNR	3.23	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Chatterjee, Dutta et al.[1]	Accuracy	96.12	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Co-Tuning	Accuracy	85.65	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Physical Access	EER	5.74	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	riadd.aucmedi	AUROC	0.95	—	Unverified