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 1801–1825 of 10307 papers

Title	Date	Tasks	Status	Score
A Practitioners' Guide to Transfer Learning for Text Classification using Convolutional Neural Networks	Jan 19, 2018	General Classificationtext-classification	CodeCode Available	5
Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization	Dec 31, 2019	Transfer Learning	CodeCode Available	5
How does Multi-Task Training Affect Transformer In-Context Capabilities? Investigations with Function Classes	Apr 4, 2024	In-Context LearningMulti-Task Learning	CodeCode Available	5
Interpretable and Transferable Models to Understand the Impact of Lockdown Measures on Local Air Quality	Nov 19, 2020	Transfer Learning	CodeCode Available	5
Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural Network	Apr 28, 2021	Graph Neural NetworkKnowledge Distillation	CodeCode Available	5
Classification of Quasars, Galaxies, and Stars in the Mapping of the Universe Multi-modal Deep Learning	May 22, 2022	Transfer Learning	CodeCode Available	5
HIT: A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation	May 30, 2021	Deep AttentionRepresentation Learning	CodeCode Available	5
Historical Document Image Segmentation with LDA-Initialized Deep Neural Networks	Oct 19, 2017	Image SegmentationSemantic Segmentation	CodeCode Available	5
HistoKT: Cross Knowledge Transfer in Computational Pathology	Jan 27, 2022	Transfer Learning	CodeCode Available	5
Histopathologic Cancer Detection	Nov 13, 2023	Data AugmentationPrognosis	CodeCode Available	5
Classifying Textual Data with Pre-trained Vision Models through Transfer Learning and Data Transformations	Jun 23, 2021	Domain Adaptationimage-classification	CodeCode Available	5
Hi-gMISnet: generalized medical image segmentation using DWT based multilayer fusion and dual mode attention into high resolution pGAN	May 20, 2024	Generative Adversarial NetworkImage Segmentation	CodeCode Available	5
Inverse Design of Potential Singlet Fission Molecules using a Transfer Learning Based Approach	Mar 17, 2020	Transfer Learning	CodeCode Available	5
Bayesian Inverse Transfer in Evolutionary Multiobjective Optimization	Dec 22, 2023	Bayesian OptimizationMultiobjective Optimization	CodeCode Available	5
CaT: Weakly Supervised Object Detection with Category Transfer	Aug 17, 2021	Objectobject-detection	CodeCode Available	5
Hindi/Bengali Sentiment Analysis Using Transfer Learning and Joint Dual Input Learning with Self Attention	Feb 11, 2022	Sentiment AnalysisTransfer Learning	CodeCode Available	5
Investigating Transfer Learning Capabilities of Vision Transformers and CNNs by Fine-Tuning a Single Trainable Block	Oct 11, 2021	Transfer Learning	CodeCode Available	5
Cats or CAT scans: transfer learning from natural or medical image source datasets?	Oct 12, 2018	DiversityMedical Image Analysis	CodeCode Available	5
Cats, not CAT scans: a study of dataset similarity in transfer learning for 2D medical image classification	Jul 13, 2021	image-classificationImage Classification	CodeCode Available	5
Island-Based Evolutionary Computation with Diverse Surrogates and Adaptive Knowledge Transfer for High-Dimensional Data-Driven Optimization	Mar 17, 2025	Evolutionary Algorithmsglobal-optimization	CodeCode Available	5
Hierarchical transfer learning with applications for electricity load forecasting	Nov 16, 2021	Additive modelsLoad Forecasting	CodeCode Available	5
Advancing Transformer's Capabilities in Commonsense Reasoning	Oct 10, 2023	Transfer Learning	CodeCode Available	5
Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning	Dec 1, 2019	Transfer Learning	CodeCode Available	5
Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning	Dec 21, 2023	Contrastive LearningGraph Representation Learning	CodeCode Available	5
HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data	Mar 7, 2022	ManagementTransfer Learning	CodeCode Available	5

Show:10 25 50

← PrevPage 73 of 413Next →

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