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 3101–3125 of 10307 papers

Title	Date	Tasks	Status	Score
Adapting Monolingual Models: Data can be Scarce when Language Similarity is High	May 6, 2021	POSPOS Tagging	CodeCode Available	5
Document Image Classification with Intra-Domain Transfer Learning and Stacked Generalization of Deep Convolutional Neural Networks	Jan 29, 2018	document-image-classificationDocument Image Classification	CodeCode Available	5
Corona-Nidaan: lightweight deep convolutional neural network for chest X-Ray based COVID-19 infection detection	Feb 1, 2021	COVID-19 DiagnosisTransfer Learning	CodeCode Available	5
Exploiting Semantic Localization in Highly Dynamic Wireless Networks Using Deep Homoscedastic Domain Adaptation	Oct 11, 2023	Domain AdaptationRepresentation Learning	CodeCode Available	5
CoRe-Net: Co-Operational Regressor Network with Progressive Transfer Learning for Blind Radar Signal Restoration	Jan 28, 2025	Self-LearningTransfer Learning	CodeCode Available	5
Commonsense Knowledge Base Completion with Structural and Semantic Context	Oct 7, 2019	Computational EfficiencyKnowledge Base Completion	CodeCode Available	5
Explicit Alignment Objectives for Multilingual Bidirectional Encoders	Oct 15, 2020	Cross-Lingual TransferRetrieval	CodeCode Available	5
Probabilistic Deep Learning and Transfer Learning for Robust Cryptocurrency Price Prediction	Jun 19, 2024	Probabilistic Deep LearningStock Price Prediction	CodeCode Available	5
Coreference Resolution in Research Papers from Multiple Domains	Jan 4, 2021	coreference-resolutionCoreference Resolution	CodeCode Available	5
Probabilistic Random Forest: A machine learning algorithm for noisy datasets	Nov 14, 2018	BIG-bench Machine LearningMissing Values	CodeCode Available	5
Does language help generalization in vision models?	Apr 16, 2021	Adversarial RobustnessClustering	CodeCode Available	5
Animal Detection in Man-made Environments	Oct 24, 2019	Edge Detectionobject-detection	CodeCode Available	5
Explicit Inductive Bias for Transfer Learning with Convolutional Networks	Feb 5, 2018	Inductive BiasTransfer Learning	CodeCode Available	5
Explainable Action Advising for Multi-Agent Reinforcement Learning	Nov 15, 2022	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	5
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
Exploiting Graph Structured Cross-Domain Representation for Multi-Domain Recommendation	Feb 12, 2023	Multi-Domain Recommender SystemsRecommendation Systems	CodeCode Available	5
Copy mechanism and tailored training for character-based data-to-text generation	Apr 26, 2019	Data-to-Text GenerationText Generation	CodeCode Available	5
Promoting Generalized Cross-lingual Question Answering in Few-resource Scenarios via Self-knowledge Distillation	Sep 29, 2023	Cross-Lingual Question AnsweringCross-Lingual Transfer	CodeCode Available	5
A Survey on Prompt Tuning	Jul 8, 2025	Computational EfficiencyMixture-of-Experts	CodeCode Available	5
EXPANSE: A Deep Continual / Progressive Learning System for Deep Transfer Learning	May 19, 2022	Continual LearningTransfer 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
Domain Adaptable Self-supervised Representation Learning on Remote Sensing Satellite Imagery	Apr 19, 2023	Contrastive LearningDomain 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
Exploring Driving-aware Salient Object Detection via Knowledge Transfer	May 18, 2021	Objectobject-detection	CodeCode Available	5
Transformers on Multilingual Clause-Level Morphology	Nov 3, 2022	Data AugmentationLanguage Modelling	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