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 3051–3075 of 10307 papers

Title	Date	Tasks	Status	Score
Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine Translation	Jul 6, 2019	BenchmarkingDomain Adaptation	CodeCode Available	5
Explicit Alignment Objectives for Multilingual Bidirectional Encoders	Oct 15, 2020	Cross-Lingual TransferRetrieval	CodeCode Available	5
Asynchronous Multi-Task Learning	Sep 30, 2016	Multi-Task LearningTransfer Learning	CodeCode Available	5
Distilling Efficient Language-Specific Models for Cross-Lingual Transfer	Jun 2, 2023	Cross-Lingual TransferTransfer Learning	CodeCode Available	5
Explicit Inductive Bias for Transfer Learning with Convolutional Networks	Feb 5, 2018	Inductive BiasTransfer Learning	CodeCode Available	5
Counterfactual Detection meets Transfer Learning	May 27, 2020	Binary Classificationcounterfactual	CodeCode Available	5
Adapting Multilingual LLMs to Low-Resource Languages with Knowledge Graphs via Adapters	Jul 1, 2024	Knowledge GraphsLanguage Modeling	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
Exploring Driving-aware Salient Object Detection via Knowledge Transfer	May 18, 2021	Objectobject-detection	CodeCode Available	5
Could you give me a hint? Generating inference graphs for defeasible reasoning	May 12, 2021	Transfer Learning	CodeCode Available	5
EXPANSE: A Deep Continual / Progressive Learning System for Deep Transfer Learning	May 19, 2022	Continual LearningTransfer Learning	CodeCode Available	5
AI ensemble for signal detection of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers	Sep 29, 2023	CPUTransfer 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
Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning	Jan 26, 2025	Multi-agent Reinforcement Learningreinforcement-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
Distilling the Knowledge of Romanian BERTs Using Multiple Teachers	Dec 23, 2021	Dialect IdentificationGPU	CodeCode Available	5
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data	Jul 7, 2023	Knowledge DistillationModel Compression	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
Performance of GAN-based augmentation for deep learning COVID-19 image classification	Apr 18, 2023	Data AugmentationImage Augmentation	CodeCode Available	5
Exclusive Supermask Subnetwork Training for Continual Learning	Oct 18, 2022	Continual LearningText Classification	CodeCode Available	5
Explainable Action Advising for Multi-Agent Reinforcement Learning	Nov 15, 2022	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	5
Corresponding Projections for Orphan Screening	Nov 30, 2018	Drug DiscoveryTransfer Learning	CodeCode Available	5
Correlation Congruence for Knowledge Distillation	Apr 3, 2019	Face Recognitionimage-classification	CodeCode Available	5
Asymmetric Co-Training for Source-Free Few-Shot Domain Adaptation	Feb 20, 2025	Domain AdaptationTransfer 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