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 4611–4620 of 10307 papers

Title	Date	Tasks	Status	Hype
Scalable Neural Data Server: A Data Recommender for Transfer Learning	Jun 19, 2022	Mixture-of-ExpertsTransfer Learning	—Unverified	0
Transfer Learning for Robust Low-Resource Children's Speech ASR with Transformers and Source-Filter Warping	Jun 19, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Terrain Classification using Transfer Learning on Hyperspectral Images: A Comparative study	Jun 19, 2022	image-classificationImage Classification	—Unverified	0
Learning Multi-Task Transferable Rewards via Variational Inverse Reinforcement Learning	Jun 19, 2022	Generative Adversarial NetworkImitation Learning	—Unverified	0
Agricultural Plantation Classification using Transfer Learning Approach based on CNN	Jun 19, 2022	Transfer Learning	—Unverified	0
CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks	Jun 18, 2022	Continual LearningTransfer Learning	CodeCode Available	1
Motley: Benchmarking Heterogeneity and Personalization in Federated Learning	Jun 18, 2022	BenchmarkingFairness	CodeCode Available	0
Multistream Gaze Estimation with Anatomical Eye Region Isolation by Synthetic to Real Transfer Learning	Jun 18, 2022	AnatomyGaze Estimation	CodeCode Available	1
A Survey on Computational Intelligence-based Transfer Learning	Jun 17, 2022	SurveyTransfer Learning	—Unverified	0
COVID-19 Detection using Transfer Learning with Convolutional Neural Network	Jun 17, 2022	Transfer Learning	—Unverified	0

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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