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 311–320 of 10307 papers

Title	Date	Tasks	Status	Hype
Sparse Optimization for Transfer Learning: A L0-Regularized Framework for Multi-Source Domain Adaptation	Apr 7, 2025	Computational EfficiencyDomain Adaptation	—Unverified	0
Cross-functional transferability in universal machine learning interatomic potentials	Apr 7, 2025	BenchmarkingTransfer Learning	—Unverified	0
Psychological Health Knowledge-Enhanced LLM-based Social Network Crisis Intervention Text Transfer Recognition Method	Apr 5, 2025	Language ModelingLanguage Modelling	—Unverified	0
ADA-Net: Attention-Guided Domain Adaptation Network with Contrastive Learning for Standing Dead Tree Segmentation Using Aerial Imagery	Apr 5, 2025	Contrastive LearningDomain Adaptation	CodeCode Available	0
Early detection of diabetes through transfer learning-based eye (vision) screening and improvement of machine learning model performance and advanced parameter setting algorithms	Apr 4, 2025	DiagnosticDimensionality Reduction	—Unverified	0
Mitigating the Impact of Electrode Shift on Classification Performance in Electromyography-Based Motion Prediction Using Sliding-Window Normalization	Apr 4, 2025	ClassificationDomain Adaptation	—Unverified	0
Optimizing Specific and Shared Parameters for Efficient Parameter Tuning	Apr 4, 2025	Domain GeneralizationTransfer Learning	—Unverified	0
Block Toeplitz Sparse Precision Matrix Estimation for Large-Scale Interval-Valued Time Series Forecasting	Apr 4, 2025	ClusteringTime Series	—Unverified	0
MMTL-UniAD: A Unified Framework for Multimodal and Multi-Task Learning in Assistive Driving Perception	Apr 3, 2025	Multi-Task LearningTransfer Learning	CodeCode Available	1
Scaling Analysis of Interleaved Speech-Text Language Models	Apr 3, 2025	Transfer Learning	CodeCode Available	3

Show:10 25 50

← PrevPage 32 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