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 2201–2225 of 10307 papers

Title	Date	Tasks	Status	Score
Generating Gameplay-Relevant Art Assets with Transfer Learning	Oct 4, 2020	Image GenerationTransfer Learning	CodeCode Available	5
Benchmark Problems for CEC2021 Competition on Evolutionary Transfer Multiobjectve Optimization	Oct 15, 2021	Multiobjective OptimizationTransfer Learning	CodeCode Available	5
A Deep Convolutional Neural Network for COVID-19 Detection Using Chest X-Rays	Apr 30, 2020	COVID-19 DiagnosisTransfer Learning	CodeCode Available	5
General-Purpose Deep Point Cloud Feature Extractor	Mar 12, 2018	3D Object Classification3D Point Cloud Classification	CodeCode Available	5
Generating Thermal Human Faces for Physiological Assessment Using Thermal Sensor Auxiliary Labels	Jun 15, 2021	SSIMTransfer Learning	CodeCode Available	5
Benchmarking Representation Learning for Natural World Image Collections	Mar 30, 2021	BenchmarkingBinary Classification	CodeCode Available	5
An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models	Feb 27, 2019	General ClassificationLanguage Modeling	CodeCode Available	5
Generalizing over Long Tail Concepts for Medical Term Normalization	Oct 21, 2022	AttributeTransfer Learning	CodeCode Available	5
Benchmarking histopathology foundation models in a multi-center dataset for skin cancer subtyping	Jun 23, 2025	BenchmarkingDiversity	CodeCode Available	5
Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features	Oct 15, 2023	Data Augmentationfew-shot-ner	CodeCode Available	5
Generalizing Teacher Networks for Effective Knowledge Distillation Across Student Architectures	Jul 22, 2024	Knowledge DistillationModel Compression	CodeCode Available	5
Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting	Feb 17, 2023	Motion ForecastingRepresentation Learning	CodeCode Available	5
Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer	Dec 1, 2019	AttributeMulti-Task Learning	CodeCode Available	5
Benchmarking Deep Learning and Vision Foundation Models for Atypical vs. Normal Mitosis Classification with Cross-Dataset Evaluation	Jun 26, 2025	BenchmarkingTransfer Learning	CodeCode Available	5
An EfficientNet-based modified sigmoid transform for enhancing dermatological macro-images of melanoma and nevi skin lesions	Jul 17, 2022	Lesion SegmentationLocal Color Enhancement	CodeCode Available	5
Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across Domains	Jul 2, 2025	Atari GamesChatbot	CodeCode Available	5
Generalizable Local Feature Pre-training for Deformable Shape Analysis	Mar 27, 2023	Transfer Learning	CodeCode Available	5
Generalization Through The Lens Of Leave-One-Out Error	Mar 7, 2022	Generalization BoundsTransfer Learning	CodeCode Available	5
Generalized Funnelling: Ensemble Learning and Heterogeneous Document Embeddings for Cross-Lingual Text Classification	Sep 17, 2021	Ensemble LearningMultilabel Text Classification	CodeCode Available	5
Generative Denoise Distillation: Simple Stochastic Noises Induce Efficient Knowledge Transfer for Dense Prediction	Jan 16, 2024	Instance SegmentationKnowledge Distillation	CodeCode Available	5
GAN pretraining for deep convolutional autoencoders applied to Software-based Fingerprint Presentation Attack Detection	May 21, 2021	Transfer Learning	CodeCode Available	5
Deep State Inference: Toward Behavioral Model Inference of Black-box Software Systems	Jan 13, 2021	Anomaly DetectionChange Point Detection	CodeCode Available	5
GANTL: Towards Practical and Real-Time Topology Optimization with Conditional GANs and Transfer Learning	May 7, 2021	Transfer Learning	CodeCode Available	5
Gammatonegram Representation for End-to-End Dysarthric Speech Processing Tasks: Speech Recognition, Speaker Identification, and Intelligibility Assessment	Jul 6, 2023	Speaker Identificationspeech-recognition	CodeCode Available	5
GAN Cocktail: mixing GANs without dataset access	Jun 7, 2021	Transfer 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