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 2701–2725 of 10307 papers

Title	Date	Tasks	Status	Score
Fast Solar Image Classification Using Deep Learning and its Importance for Automation in Solar Physics	May 31, 2019	General Classificationimage-classification	CodeCode Available	5
Deep Learning Macroeconomics	Jan 31, 2022	Deep LearningEconometrics	CodeCode Available	5
Faster Reinforcement Learning Using Active Simulators	Mar 22, 2017	reinforcement-learningReinforcement Learning	CodeCode Available	5
Attend Before you Act: Leveraging human visual attention for continual learning	Jul 25, 2018	Continual LearningDecision Making	CodeCode Available	5
FBDNN: Filter Banks and Deep Neural Networks for Portable and Fast Brain-Computer Interfaces	Sep 5, 2021	ClassificationEEG	CodeCode Available	5
Deep Learning Models for Colloidal Nanocrystal Synthesis	Dec 14, 2024	Data AugmentationDeep Learning	CodeCode Available	5
Cross-lingual Offensive Language Detection: A Systematic Review of Datasets, Transfer Approaches and Challenges	Jan 17, 2024	Cross-Lingual TransferSurvey	CodeCode Available	5
LAVA: Label-efficient Visual Learning and Adaptation	Oct 19, 2022	Few-Shot LearningTransfer Learning	CodeCode Available	5
Cross-lingual Offensive Language Identification for Low Resource Languages: The Case of Marathi	Sep 8, 2021	Language IdentificationTransfer Learning	CodeCode Available	5
LEAP nets for power grid perturbations	Aug 22, 2019	Network EmbeddingTransfer Learning	CodeCode Available	5
Cross-lingual Lifelong Learning	May 23, 2022	Continual LearningLifelong learning	CodeCode Available	5
Adaptive Growth: Real-time CNN Layer Expansion	Sep 6, 2023	Transfer Learning	CodeCode Available	5
Fast Enhanced CT Metal Artifact Reduction using Data Domain Deep Learning	Apr 9, 2019	Computed Tomography (CT)Diagnostic	CodeCode Available	5
AdaTriplet-RA: Domain Matching via Adaptive Triplet and Reinforced Attention for Unsupervised Domain Adaptation	Nov 16, 2022	Domain AdaptationTransfer Learning	CodeCode Available	5
Fast deep learning correspondence for neuron tracking and identification in C.elegans using synthetic training	Jan 20, 2021	Transfer Learning	CodeCode Available	5
Learning-based sound speed estimation and aberration correction in linear-array photoacoustic imaging	Jun 19, 2023	Image ReconstructionSSIM	CodeCode Available	5
FBK-DH at SemEval-2020 Task 12: Using Multi-channel BERT for Multilingual Offensive Language Detection	Dec 1, 2020	Language IdentificationMachine Translation	CodeCode Available	5
Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning	Dec 21, 2023	Domain GeneralizationFederated Learning	CodeCode Available	5
Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain Study	Jan 18, 2024	Data AugmentationFew-Shot Learning	CodeCode Available	5
Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in Turkish	Mar 1, 2024	Cross-Lingual TransferFact Checking	CodeCode Available	5
fairseq S2T: Fast Speech-to-Text Modeling with fairseq	Oct 11, 2020	Machine TranslationMulti-Task Learning	CodeCode Available	5
Cross-Lingual Knowledge Transfer for Clinical Phenotyping	Aug 3, 2022	Transfer Learning	CodeCode Available	5
E-Sort: Empowering End-to-end Neural Network for Multi-channel Spike Sorting with Transfer Learning and Fast Post-processing	Sep 19, 2024	Few-Shot LearningSpike Sorting	CodeCode Available	5
Fair Generative Models via Transfer Learning	Dec 2, 2022	FairnessTransfer Learning	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

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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