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 3551–3560 of 10307 papers

Title	Date	Tasks	Status
Deep Decomposition for Stochastic Normal-Abnormal Transport	Nov 29, 2021	Optical Flow EstimationTime Series	—Unverified
Two-Level Adversarial Visual-Semantic Coupling for Generalized Zero-shot Learning	Jul 15, 2020	Generalized Zero-Shot LearningRepresentation Learning	—Unverified
Automatic detection of rare pathologies in fundus photographs using few-shot learning	Jul 22, 2019	Few-Shot LearningOne-Shot Learning	—Unverified
Classical-to-Quantum Transfer Learning for Spoken Command Recognition Based on Quantum Neural Networks	Oct 17, 2021	Spoken Command RecognitionTransfer Learning	—Unverified
Enhancing Industrial Transfer Learning with Style Filter: Cost Reduction and Defect-Focus	Mar 25, 2024	Transfer Learning	—Unverified
Enhancing Instance-Level Image Classification with Set-Level Labels	Nov 9, 2023	ClassificationFew-Shot Learning	—Unverified
Classification Algorithm of Speech Data of Parkinsons Disease Based on Convolution Sparse Kernel Transfer Learning with Optimal Kernel and Parallel Sample Feature Selection	Feb 10, 2020	feature selectionGeneral Classification	—Unverified
Enhancing learning in spiking neural networks through neuronal heterogeneity and neuromodulatory signaling	Jul 5, 2024	Continual LearningDiversity	—Unverified
Enhancing LLM-based Recommendation through Semantic-Aligned Collaborative Knowledge	Apr 14, 2025	Collaborative FilteringTransfer Learning	—Unverified
A Multi-Task and Multi-Label Classification Model for Implicit Discourse Relation Recognition	Aug 16, 2024	ClassificationMulti-Label Classification	—Unverified

Show:10 25 50

← PrevPage 356 of 1031Next →

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