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 3881–3890 of 10307 papers

Title	Date	Tasks	Status	Hype
HyperBO+: Pre-training a universal prior for Bayesian optimization with hierarchical Gaussian processes	Dec 20, 2022	Bayesian OptimizationGaussian Processes	CodeCode Available	0
Memory-efficient NLLB-200: Language-specific Expert Pruning of a Massively Multilingual Machine Translation Model	Dec 19, 2022	GPUMachine Translation	—Unverified	0
Improving the Generalizability of Text-Based Emotion Detection by Leveraging Transformers with Psycholinguistic Features	Dec 19, 2022	ArticlesEmotion Recognition	—Unverified	0
Building Height Prediction with Instance Segmentation	Dec 19, 2022	Instance SegmentationPrediction	—Unverified	0
Boosting Automatic COVID-19 Detection Performance with Self-Supervised Learning and Batch Knowledge Ensembling	Dec 19, 2022	Self-Supervised LearningTransfer Learning	—Unverified	0
Leveraging Road Area Semantic Segmentation with Auxiliary Steering Task	Dec 19, 2022	Autonomous DrivingSegmentation	—Unverified	0
COVID-19 Detection Based on Self-Supervised Transfer Learning Using Chest X-Ray Images	Dec 19, 2022	Representation LearningSelf-Supervised Learning	—Unverified	0
PoE: a Panel of Experts for Generalized Automatic Dialogue Assessment	Dec 18, 2022	Data AugmentationDialogue Evaluation	—Unverified	0
Graph Neural Network based Child Activity Recognition	Dec 18, 2022	Activity RecognitionGraph Neural Network	—Unverified	0
An Evolutionary Multitasking Algorithm with Multiple Filtering for High-Dimensional Feature Selection	Dec 17, 2022	feature selectionTransfer Learning	CodeCode Available	1

Show:10 25 50

← PrevPage 389 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