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 3151–3175 of 10307 papers

Title	Date	Tasks	Status	Score
Exploring Large Language Models and Hierarchical Frameworks for Classification of Large Unstructured Legal Documents	Mar 11, 2024	ClusteringLanguage Modelling	CodeCode Available	5
Domain Adaptation with Pre-trained Transformers for Query-Focused Abstractive Text Summarization	Jun 1, 2022	Abstractive Text SummarizationDomain Adaptation	CodeCode Available	5
A Survey on Prompt Tuning	Jul 8, 2025	Computational EfficiencyMixture-of-Experts	CodeCode Available	5
Brain Tumor Synthetic Data Generation with Adaptive StyleGANs	Dec 4, 2022	DiversityMedical Image Analysis	CodeCode Available	5
Exploring Methods for Building Dialects-Mandarin Code-Mixing Corpora: A Case Study in Taiwanese Hokkien	Jan 21, 2023	Language ModelingLanguage Modelling	CodeCode Available	5
Exploring Pre-Trained Transformers and Bilingual Transfer Learning for Arabic Coreference Resolution	Nov 1, 2021	coreference-resolutionCoreference Resolution	CodeCode Available	5
Domain Adaptive Person Re-Identification via Coupling Optimization	Nov 6, 2020	Domain Adaptive Person Re-IdentificationPerson Re-Identification	CodeCode Available	5
An Information-Theoretic Metric of Transferability for Task Transfer Learning	May 1, 2019	General ClassificationScene Understanding	CodeCode Available	5
Exploring the Effectiveness and Consistency of Task Selection in Intermediate-Task Transfer Learning	Jul 23, 2024	Transfer Learning	CodeCode Available	5
Federated Semi-Supervised Multi-Task Learning to Detect COVID-19 and Lungs Segmentation Marking Using Chest Radiography Images and Raspberry Pi Devices: An Internet of Medical Things Application	Jul 24, 2021	Federated LearningMulti-Task Learning	CodeCode Available	5
Regret-Optimal Federated Transfer Learning for Kernel Regression with Applications in American Option Pricing	Sep 8, 2023	Adversarial Robustnessregression	CodeCode Available	5
Cooperative Knowledge Distillation: A Learner Agnostic Approach	Feb 2, 2024	counterfactualKnowledge Distillation	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
Exploiting Semantic Localization in Highly Dynamic Wireless Networks Using Deep Homoscedastic Domain Adaptation	Oct 11, 2023	Domain AdaptationRepresentation Learning	CodeCode Available	5
Explicit Alignment Objectives for Multilingual Bidirectional Encoders	Oct 15, 2020	Cross-Lingual TransferRetrieval	CodeCode Available	5
Automated Classification of Histopathology Images Using Transfer Learning	Mar 24, 2019	ClassificationDiagnostic	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
Breast cancer histology classification using Deep Residual Networks	Jul 1, 2018	Breast Cancer Histology Image ClassificationClassification	CodeCode Available	5
Domain Generalisation of NMT: Fusing Adapters with Leave-One-Domain-Out Training	May 1, 2022	Machine TranslationNMT	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
Domain Generalization by Marginal Transfer Learning	Nov 21, 2017	Domain GeneralizationGeneral Classification	CodeCode Available	5
Exploiting Graph Structured Cross-Domain Representation for Multi-Domain Recommendation	Feb 12, 2023	Multi-Domain Recommender SystemsRecommendation Systems	CodeCode Available	5
Commonsense Knowledge Base Completion with Structural and Semantic Context	Oct 7, 2019	Computational EfficiencyKnowledge Base Completion	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

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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