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 461–470 of 10307 papers

Title	Date	Tasks	Status	Hype	Score
Bayesian Optimization with Automatic Prior Selection for Data-Efficient Direct Policy Search	Sep 20, 2017	Bayesian OptimizationTransfer Learning	CodeCode Available	1	5
Domain Adaptation of Thai Word Segmentation Models using Stacked Ensemble	Nov 1, 2020	Domain AdaptationEnsemble Learning	CodeCode Available	1	5
Consecutive Pretraining: A Knowledge Transfer Learning Strategy with Relevant Unlabeled Data for Remote Sensing Domain	Jul 8, 2022	Land Cover Classificationobject-detection	CodeCode Available	1	5
Benchmarking Detection Transfer Learning with Vision Transformers	Nov 22, 2021	Benchmarkingobject-detection	CodeCode Available	1	5
WONDERBREAD: A Benchmark for Evaluating Multimodal Foundation Models on Business Process Management Tasks	Jun 19, 2024	ManagementTransfer Learning	CodeCode Available	1	5
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation	Jun 8, 2020	Cell SegmentationColorectal Polyps Characterization	CodeCode Available	1	5
Context-Transformer: Tackling Object Confusion for Few-Shot Detection	Mar 16, 2020	DiversityFew-Shot Learning	CodeCode Available	1	5
Affordance Transfer Learning for Human-Object Interaction Detection	Apr 7, 2021	Affordance DetectionAffordance Recognition	CodeCode Available	1	5
Active Transfer Learning for Efficient Video-Specific Human Pose Estimation	Nov 8, 2023	Active LearningPose Estimation	CodeCode Available	1	5
Convolutional Bypasses Are Better Vision Transformer Adapters	Jul 14, 2022	Few-Shot LearningInductive Bias	CodeCode Available	1	5

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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