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 151–175 of 10307 papers

Title	Date	Tasks	Status	Hype	Score
An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning	Mar 23, 2024	Federated LearningTransfer Learning	CodeCode Available	2	5
Global birdsong embeddings enable superior transfer learning for bioacoustic classification	Jul 12, 2023	Audio ClassificationDecision Making	CodeCode Available	2	5
Any-point Trajectory Modeling for Policy Learning	Dec 28, 2023	Trajectory ModelingTransfer Learning	CodeCode Available	2	5
AdapterFusion: Non-Destructive Task Composition for Transfer Learning	May 1, 2020	Language ModellingMulti-Task Learning	CodeCode Available	2	5
FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction	May 28, 2024	In-Context LearningPrediction	CodeCode Available	2	5
Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train	Jun 29, 2023	SegmentationTransfer Learning	CodeCode Available	2	5
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation	Sep 29, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	2	5
All-in-one foundational models learning across quantum chemical levels	Sep 18, 2024	AllCloud Computing	CodeCode Available	2	5
BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks	May 26, 2023	Image CaptioningMedical Visual Question Answering	CodeCode Available	2	5
AXIAL: Attention-based eXplainability for Interpretable Alzheimer's Localized Diagnosis using 2D CNNs on 3D MRI brain scans	Jul 2, 2024	3D ClassificationAlzheimer's Disease Detection	CodeCode Available	2	5
CARTE: Pretraining and Transfer for Tabular Learning	Feb 26, 2024	Data IntegrationTransfer Learning	CodeCode Available	2	5
InPars: Data Augmentation for Information Retrieval using Large Language Models	Feb 10, 2022	Data AugmentationDiversity	CodeCode Available	2	5
Content-Based Search for Deep Generative Models	Oct 6, 2022	Contrastive LearningImage and Sketch based Model Retrieval	CodeCode Available	2	5
Do MIL Models Transfer?	Jun 10, 2025	Multiple Instance LearningTransfer Learning	CodeCode Available	2	5
Large Scale Transfer Learning for Tabular Data via Language Modeling	Jun 17, 2024	Language ModelingLanguage Modelling	CodeCode Available	2	5
Learning Dense Representations of Phrases at Scale	Dec 23, 2020	Open-Domain Question AnsweringQuestion Answering	CodeCode Available	2	5
LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS	Nov 28, 2023	Knowledge DistillationNeRF	CodeCode Available	2	5
Lightweight, Pre-trained Transformers for Remote Sensing Timeseries	Apr 27, 2023	Crop ClassificationSelf-Supervised Learning	CodeCode Available	2	5
HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interaction	Mar 8, 2024	DiagnosticMedical Report Generation	CodeCode Available	2	5
Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation	May 25, 2022	Cross-Lingual TransferMachine Translation	CodeCode Available	2	5
Alice: Proactive Learning with Teacher's Demonstrations for Weak-to-Strong Generalization	Apr 9, 2025	Logical ReasoningMathematical Reasoning	CodeCode Available	1	5
AutoKE: An automatic knowledge embedding framework for scientific machine learning	May 11, 2022	BIG-bench Machine LearningNeural Architecture Search	CodeCode Available	1	5
Automated Cloud Provisioning on AWS using Deep Reinforcement Learning	Sep 13, 2017	Cloud ComputingDeep Reinforcement Learning	CodeCode Available	1	5
Aligning Medical Images with General Knowledge from Large Language Models	Aug 31, 2024	General KnowledgeMedical Image Analysis	CodeCode Available	1	5
Algorithmic encoding of protected characteristics in image-based models for disease detection	Oct 27, 2021	Decision MakingTransfer Learning	CodeCode Available	1	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