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 3251–3275 of 10307 papers

Title	Date	Tasks	Status	Score
Conversational AI for Positive-sum Retailing under Falsehood Control	May 1, 2022	Decision MakingMulti-agent Reinforcement Learning	CodeCode Available	5
EvoCLINICAL: Evolving Cyber-Cyber Digital Twin with Active Transfer Learning for Automated Cancer Registry System	Sep 6, 2023	Active LearningTransfer Learning	CodeCode Available	5
Evaluating deep transfer learning for whole-brain cognitive decoding	Nov 1, 2021	Transfer Learning	CodeCode Available	5
Evaluate Fine-tuning Strategies for Fetal Head Ultrasound Image Segmentation with U-Net	Jul 18, 2023	Image SegmentationMedical Image Analysis	CodeCode Available	5
Evaluating Fast Adaptability of Neural Networks for Brain-Computer Interface	Apr 14, 2024	Brain Computer InterfaceDomain Adaptation	CodeCode Available	5
Estimating encoding models of cortical auditory processing using naturalistic stimuli and transfer learning	Sep 11, 2019	Transfer Learning	CodeCode Available	5
ETT-CKGE: Efficient Task-driven Tokens for Continual Knowledge Graph Embedding	Jun 9, 2025	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available	5
Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning	Nov 14, 2018	Transfer Learning	CodeCode Available	5
Estimating Buildings' Parameters over Time Including Prior Knowledge	Jan 9, 2019	Causal Inferenceparameter estimation	CodeCode Available	5
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale	Nov 14, 2022	Action ClassificationAction Recognition	CodeCode Available	5
Evaluating the Values of Sources in Transfer Learning	Apr 26, 2021	Cross-Lingual POS TaggingTransfer Learning	CodeCode Available	5
Contrastive Learning with Temporal Correlated Medical Images: A Case Study using Lung Segmentation in Chest X-Rays	Sep 7, 2021	Contrastive LearningImage Segmentation	CodeCode Available	5
Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes	Nov 25, 2020	Gaussian ProcessesTransfer Learning	CodeCode Available	5
Establishing Deep InfoMax as an effective self-supervised learning methodology in materials informatics	Jun 30, 2024	Band GapFormation Energy	CodeCode Available	5
Contrastive learning of T cell receptor representations	Jun 10, 2024	Contrastive LearningLanguage Modeling	CodeCode Available	5
CL-MRI: Self-Supervised Contrastive Learning to Improve the Accuracy of Undersampled MRI Reconstruction	Jun 1, 2023	AnatomyContrastive Learning	CodeCode Available	5
Environment Invariant Linear Least Squares	Mar 6, 2023	Causal Inferenceregression	CodeCode Available	5
Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate	Apr 21, 2018	Click-Through Rate PredictionRecommendation Systems	CodeCode Available	5
Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models	Aug 12, 2022	Gaussian Processesregression	CodeCode Available	5
CADE: Cosine Annealing Differential Evolution for Spiking Neural Network	Jun 4, 2024	Transfer Learning	CodeCode Available	5
Entity-aware Cross-lingual Claim Detection for Automated Fact-checking	Mar 19, 2025	Entity LinkingFact Checking	CodeCode Available	5
EPRNet: Efficient Pyramid Representation Network for Real-Time Street Scene Segmentation	Mar 23, 2021	image-classificationImage Classification	CodeCode Available	5
Estimated Depth Map Helps Image Classification	Sep 20, 2017	ClassificationDepth Estimation	CodeCode Available	5
Evaluation and Comparison of Deep Learning Methods for Pavement Crack Identification with Visual Images	Dec 20, 2021	Contact DetectionDecoder	CodeCode Available	5
Ensemble Augmentation for Deep Neural Networks Using 1-D Time Series Vibration Data	Aug 6, 2021	Data AugmentationGenerative Adversarial Network	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