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 1726–1750 of 10307 papers

Title	Date	Tasks	Status	Score
Hostility Detection in Hindi leveraging Pre-Trained Language Models	Jan 14, 2021	Fake News DetectionHate Speech Detection	CodeCode Available	5
HOUDINI: Lifelong Learning as Program Synthesis	Mar 31, 2018	Lifelong learningProgram Synthesis	CodeCode Available	5
How good are variational autoencoders at transfer learning?	Apr 21, 2023	Medical Image AnalysisMusic Generation	CodeCode Available	5
Celebrity Profiling	Jul 1, 2019	Gender PredictionOccupation prediction	CodeCode Available	5
HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiers	Mar 13, 2024	image-classificationImage Classification	CodeCode Available	5
CEIMVEN: An Approach of Cutting Edge Implementation of Modified Versions of EfficientNet (V1-V2) Architecture for Breast Cancer Detection and Classification from Ultrasound Images	Aug 25, 2023	Breast Cancer DetectionTransfer Learning	CodeCode Available	5
How transfer learning is used in generative models for image classification: improved accuracy	Dec 9, 2024	ClassificationGenerative Adversarial Network	CodeCode Available	5
Action Quality Assessment Across Multiple Actions	Dec 15, 2018	Action Quality AssessmentTransfer Learning	CodeCode Available	5
Challenging the Assumption of Structure-based embeddings in Few- and Zero-shot Knowledge Graph Completion	Jun 1, 2022	DescriptiveKnowledge Graph Completion	CodeCode Available	5
Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization	Dec 31, 2019	Transfer Learning	CodeCode Available	5
Histopathologic Cancer Detection	Nov 13, 2023	Data AugmentationPrognosis	CodeCode Available	5
Historical Document Image Segmentation with LDA-Initialized Deep Neural Networks	Oct 19, 2017	Image SegmentationSemantic Segmentation	CodeCode Available	5
Accelerating Certified Robustness Training via Knowledge Transfer	Oct 25, 2022	Transfer Learning	CodeCode Available	5
HistoKT: Cross Knowledge Transfer in Computational Pathology	Jan 27, 2022	Transfer Learning	CodeCode Available	5
HIT: A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation	May 30, 2021	Deep AttentionRepresentation Learning	CodeCode Available	5
HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data	Mar 7, 2022	ManagementTransfer Learning	CodeCode Available	5
Action Priors for Large Action Spaces in Robotics	Jan 11, 2021	reinforcement-learningReinforcement Learning (RL)	CodeCode Available	5
CBM: Curriculum by Masking	Jul 6, 2024	Object RecognitionTransfer Learning	CodeCode Available	5
Histogram-based Parameter-efficient Tuning for Passive Sonar Classification	Apr 21, 2025	Transfer Learning	CodeCode Available	5
How Language-Neutral is Multilingual BERT?	Nov 8, 2019	RetrievalSentence	CodeCode Available	5
Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data	Mar 14, 2018	Multi-Task LearningTransfer Learning	CodeCode Available	5
An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity Recognition	Nov 16, 2021	Cross-Lingual NERKnowledge Distillation	CodeCode Available	5
Chest X-Ray Images Classification with CNN	Dec 31, 2022	ClassificationDiagnostic	CodeCode Available	5
Bayesian Meta-Learning for Improving Generalizability of Health Prediction Models With Similar Causal Mechanisms	Oct 19, 2023	Meta-LearningMulti-Task Learning	CodeCode Available	5
Privacy-Aware Lifelong Learning	May 16, 2025	image-classificationImage Classification	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