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 2776–2800 of 10307 papers

Title	Date	Tasks	Status	Score
Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching	May 24, 2019	Dynamic Time WarpingMarketing	CodeCode Available	5
Facial Landmark Predictions with Applications to Metaverse	Sep 29, 2022	Decodertext-to-speech	CodeCode Available	5
Linking emotions to behaviors through deep transfer learning	Oct 8, 2019	Emotion RecognitionTransfer Learning	CodeCode Available	5
fairseq S2T: Fast Speech-to-Text Modeling with fairseq	Oct 11, 2020	Machine TranslationMulti-Task Learning	CodeCode Available	5
Deep Transfer Learning Based Downlink Channel Prediction for FDD Massive MIMO Systems	Dec 27, 2019	Meta-LearningPrediction	CodeCode Available	5
Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity	May 1, 2023	FairnessStudent dropout	CodeCode Available	5
Liver Fibrosis and NAS scoring from CT images using self-supervised learning and texture encoding	Mar 5, 2021	Self-Supervised LearningTransfer Learning	CodeCode Available	5
Facial Beauty Analysis Using Distribution Prediction and CNN Ensembles	Dec 10, 2023	Face VerificationFacial Beauty Prediction	CodeCode Available	5
Facial Emotion Recognition Under Mask Coverage Using a Data Augmentation Technique	Dec 3, 2023	Data AugmentationDecision Making	CodeCode Available	5
Extreme Multi-Domain, Multi-Task Learning With Unified Text-to-Text Transfer Transformers	Sep 21, 2022	Code SummarizationMulti-Task Learning	CodeCode Available	5
Extracting temporal features into a spatial domain using autoencoders for sperm video analysis	Nov 8, 2019	Deep LearningTransfer Learning	CodeCode Available	5
Extending LLMs to New Languages: A Case Study of Llama and Persian Adaptation	Dec 17, 2024	Classificationparameter-efficient fine-tuning	CodeCode Available	5
Locality Preserving Joint Transfer for Domain Adaptation	Jun 18, 2019	Domain AdaptationTransfer Learning	CodeCode Available	5
A transfer learning-based deep learning approach for automated COVID-19 diagnosis with audio data	Dec 1, 2021	COVID-19 DiagnosisTransfer Learning	CodeCode Available	5
Extracting and Analysing Metaphors in Migration Media Discourse: towards a Metaphor Annotation Scheme	Jun 1, 2022	Transfer Learning	CodeCode Available	5
Facial Expression Recognition Under Partial Occlusion from Virtual Reality Headsets based on Transfer Learning	Aug 12, 2020	Facial Expression RecognitionFacial Expression Recognition (FER)	CodeCode Available	5
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model	Oct 26, 2023	Data AugmentationGeneral Knowledge	CodeCode Available	5
LoRA-PT: Low-Rank Adapting UNETR for Hippocampus Segmentation Using Principal Tensor Singular Values and Vectors	Jul 16, 2024	BraTS2021Hippocampus	CodeCode Available	5
Federated Continual Graph Learning	Nov 28, 2024	Continual LearningGraph Learning	CodeCode Available	5
Low-Dimensional Structure in the Space of Language Representations is Reflected in Brain Responses	Jun 9, 2021	DecoderTransfer Learning	CodeCode Available	5
Low Latency Privacy Preserving Inference	Dec 27, 2018	Privacy PreservingTransfer Learning	CodeCode Available	5
GERNERMED++: Transfer Learning in German Medical NLP	Jun 29, 2022	Machine Translationnamed-entity-recognition	CodeCode Available	5
Improving Dialectal Slot and Intent Detection with Auxiliary Tasks: A Multi-Dialectal Bavarian Case Study	Jan 7, 2025	intent-classificationIntent Classification	CodeCode Available	5
Exploring the Limits of Weakly Supervised Pretraining	May 2, 2018	General Classificationimage-classification	CodeCode Available	5
Exploring the potential of transfer learning for metamodels of heterogeneous material deformation	Oct 28, 2020	CPUTransfer Learning	CodeCode Available	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