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 2761–2770 of 10307 papers

Title	Date	Tasks	Status
Deep representation of EEG data from Spatio-Spectral Feature Images	Jun 20, 2022	EEGElectroencephalogram (EEG)	—Unverified
Balancing Accuracy and Training Time in Federated Learning for Violence Detection in Surveillance Videos: A Study of Neural Network Architectures	Jun 29, 2023	Federated LearningTransfer Learning	—Unverified
Does an LSTM forget more than a CNN? An empirical study of catastrophic forgetting in NLP	Apr 1, 2019	Continual LearningTransfer Learning	—Unverified
Deep Learning for EEG Seizure Detection in Preterm Infants	May 28, 2021	Deep LearningEEG	—Unverified
Deep SIMBAD: Active Landmark-based Self-localization Using Ranking -based Scene Descriptor	Sep 6, 2021	Q-LearningReinforcement Learning (RL)	—Unverified
AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data	Dec 17, 2021	EEGElectroencephalogram (EEG)	—Unverified
Deep Learning for Steganalysis of Diverse Data Types: A review of methods, taxonomy, challenges and future directions	Aug 8, 2023	Deep LearningDeep Reinforcement Learning	—Unverified
Deep Speech Synthesis from Multimodal Articulatory Representations	Dec 17, 2024	Speech SynthesisTransfer Learning	—Unverified
Deep Stacking Networks for Low-Resource Chinese Word Segmentation with Transfer Learning	Nov 4, 2017	Chinese Word SegmentationTransfer Learning	—Unverified
Analysis Towards Classification of Infection and Ischaemia of Diabetic Foot Ulcers	Apr 7, 2021	Data AugmentationGeneral Classification	—Unverified

Show:10 25 50

← PrevPage 277 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