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

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Showing 471–480 of 10307 papers

Title	Date	Tasks	Status	Hype
Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning	Feb 13, 2023	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
An Empirical Study of Pre-trained Transformers for Arabic Information Extraction	Apr 30, 2020	Cross-Lingual TransferLanguage Modelling	CodeCode Available	1
Drug and Disease Interpretation Learning with Biomedical Entity Representation Transformer	Jan 22, 2021	Drug DiscoveryMetric Learning	CodeCode Available	1
DTBS: Dual-Teacher Bi-directional Self-training for Domain Adaptation in Nighttime Semantic Segmentation	Jan 2, 2024	Domain AdaptationPseudo Label	CodeCode Available	1
Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac Segmentation	Jan 7, 2021	Cardiac SegmentationDomain Adaptation	CodeCode Available	1
Dual Transfer Learning for Event-based End-task Prediction via Pluggable Event to Image Translation	Sep 4, 2021	DecoderDepth Estimation	CodeCode Available	1
AutoTune: Automatically Tuning Convolutional Neural Networks for Improved Transfer Learning	Apr 25, 2020	Bayesian OptimizationTransfer Learning	CodeCode Available	1
A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes	Sep 15, 2020	Deep LearningDescriptive	CodeCode Available	1
Accuracy enhancement method for speech emotion recognition from spectrogram using temporal frequency correlation and positional information learning through knowledge transfer	Mar 26, 2024	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available	1
Bayesian Optimization with Automatic Prior Selection for Data-Efficient Direct Policy Search	Sep 20, 2017	Bayesian OptimizationTransfer Learning	CodeCode Available	1

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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