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 9976–10000 of 10307 papers

Title	Date	Tasks	Status
Parameter-Transferred Wasserstein Generative Adversarial Network (PT-WGAN) for Low-Dose PET Image Denoising	Oct 13, 2019	DenoisingDiagnostic	CodeCode Available
Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach	Jul 9, 2024	Transfer Learning	CodeCode Available
Parameter-Efficient Cross-lingual Transfer of Vision and Language Models via Translation-based Alignment	May 2, 2023	Cross-Lingual TransferFew-Shot Learning	CodeCode Available
Parameter-Efficient Transfer Learning for Music Foundation Models	Nov 28, 2024	Key DetectionMusic Auto-Tagging	CodeCode Available
Parameter Transfer Extreme Learning Machine based on Projective Model	Sep 4, 2018	Domain Adaptationfeature selection	CodeCode Available
Paraphrasing Complex Network: Network Compression via Factor Transfer	Feb 14, 2018	Model CompressionTransfer Learning	CodeCode Available
Pareto Domain Adaptation	Dec 8, 2021	Domain Adaptationimage-classification	CodeCode Available
Partial transfusion: on the expressive influence of trainable batch norm parameters for transfer learning	Feb 10, 2021	Transfer Learning	CodeCode Available
PathNet: Evolution Channels Gradient Descent in Super Neural Networks	Jan 30, 2017	Continual Learningreinforcement-learning	CodeCode Available
Patient-level Microsatellite Stability Assessment from Whole Slide Images By Combining Momentum Contrast Learning and Group Patch Embeddings	Aug 22, 2022	ClassificationContrastive Learning	CodeCode Available
Penalised regression with multiple sources of prior effects	Dec 16, 2022	Classificationregression	CodeCode Available
Performance of GAN-based augmentation for deep learning COVID-19 image classification	Apr 18, 2023	Data AugmentationImage Augmentation	CodeCode Available
Persian Natural Language Inference: A Meta-learning approach	May 18, 2022	Cross-Lingual TransferMeta-Learning	CodeCode Available
Piracy Resistant Watermarks for Deep Neural Networks	Oct 2, 2019	Transfer Learning	CodeCode Available
Personalised Drug Identifier for Cancer Treatment with Transformers using Auxiliary Information	Feb 16, 2024	DiagnosticDrug Response Prediction	CodeCode Available
Perturbation-Assisted Sample Synthesis: A Novel Approach for Uncertainty Quantification	May 30, 2023	DiversityImage Generation	CodeCode Available
PGFed: Personalize Each Client's Global Objective for Federated Learning	Dec 2, 2022	Federated LearningPersonalized Federated Learning	CodeCode Available
PIV-FlowDiffuser:Transfer-learning-based denoising diffusion models for PIV	Apr 21, 2025	DenoisingOptical Flow Estimation	CodeCode Available
Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data Segmentation	Nov 23, 2020	AnatomyLesion Segmentation	CodeCode Available
Planning from Images with Deep Latent Gaussian Process Dynamics	May 7, 2020	Gaussian ProcessesTransfer Learning	CodeCode Available
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization	Mar 4, 2022	Imitation LearningTransfer Learning	CodeCode Available
p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models	Dec 17, 2023	Image CaptioningQuestion Answering	CodeCode Available
Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning	Dec 4, 2018	Deep Reinforcement LearningEfficient Exploration	CodeCode Available
PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its applications on real-world medical records	Dec 10, 2021	Federated LearningMeta-Learning	CodeCode Available
EASpace: Enhanced Action Space for Policy Transfer	Dec 7, 2022	Q-LearningTransfer Learning	CodeCode Available

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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