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 3201–3225 of 10307 papers

Title	Date	Tasks	Status	Score
Explaining the physics of transfer learning a data-driven subgrid-scale closure to a different turbulent flow	Jun 7, 2022	Out-of-Distribution GeneralizationTransfer Learning	CodeCode Available	5
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees	Jun 6, 2022	Generalization Boundsimage-classification	CodeCode Available	5
An Iterative Multi-Knowledge Transfer Network for Aspect-Based Sentiment Analysis	Apr 4, 2020	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	5
Robust Heterogeneous Federated Learning under Data Corruption	Jan 1, 2023	Data AugmentationFederated Learning	CodeCode Available	5
Robust Knowledge Transfer in Tiered Reinforcement Learning	Feb 10, 2023	reinforcement-learningReinforcement Learning	CodeCode Available	5
Robust-Multi-Task Gradient Boosting	Jul 15, 2025	Multi-Task LearningTransfer Learning	CodeCode Available	5
Explicit Inductive Bias for Transfer Learning with Convolutional Networks	Feb 5, 2018	Inductive BiasTransfer Learning	CodeCode Available	5
Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning	Jan 26, 2025	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	5
Explainable Action Advising for Multi-Agent Reinforcement Learning	Nov 15, 2022	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	5
Exploiting Graph Structured Cross-Domain Representation for Multi-Domain Recommendation	Feb 12, 2023	Multi-Domain Recommender SystemsRecommendation Systems	CodeCode Available	5
Exploring object-centric and scene-centric CNN features and their complementarity for human rights violations recognition in images	May 12, 2018	Representation 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
S2R: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-Resolution	Aug 16, 2023	Blind Super-ResolutionSuper-Resolution	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
Exclusive Supermask Subnetwork Training for Continual Learning	Oct 18, 2022	Continual LearningText Classification	CodeCode Available	5
DRCD: a Chinese Machine Reading Comprehension Dataset	Jun 4, 2018	ArticlesMachine Reading Comprehension	CodeCode Available	5
Evaluating the Values of Sources in Transfer Learning	Apr 26, 2021	Cross-Lingual POS TaggingTransfer Learning	CodeCode Available	5
Sample Correlation for Fingerprinting Deep Face Recognition	Dec 30, 2024	Adversarial DefenseEmotion Recognition	CodeCode Available	5
A Survey on Deep Learning of Small Sample in Biomedical Image Analysis	Aug 1, 2019	Active LearningData Augmentation	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
Evaluation of deep neural networks for traffic sign detection systems	Nov 17, 2018	Autonomous Drivingobject-detection	CodeCode Available	5
AniWho : A Quick and Accurate Way to Classify Anime Character Faces in Images	Aug 23, 2022	Few-Shot LearningTransfer Learning	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
Evaluate Fine-tuning Strategies for Fetal Head Ultrasound Image Segmentation with U-Net	Jul 18, 2023	Image SegmentationMedical Image Analysis	CodeCode Available	5
Evaluating deep transfer learning for whole-brain cognitive decoding	Nov 1, 2021	Transfer Learning	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