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 1776–1800 of 10307 papers

Title	Date	Tasks	Status	Score
Privacy-Aware Lifelong Learning	May 16, 2025	image-classificationImage Classification	CodeCode Available	5
Hostility Detection in Hindi leveraging Pre-Trained Language Models	Jan 14, 2021	Fake News DetectionHate Speech Detection	CodeCode Available	5
HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiers	Mar 13, 2024	image-classificationImage Classification	CodeCode Available	5
Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization	Dec 31, 2019	Transfer Learning	CodeCode Available	5
HOUDINI: Lifelong Learning as Program Synthesis	Mar 31, 2018	Lifelong learningProgram Synthesis	CodeCode Available	5
How Language-Neutral is Multilingual BERT?	Nov 8, 2019	RetrievalSentence	CodeCode Available	5
Improving Voice Separation by Incorporating End-to-end Speech Recognition	Nov 29, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
Causally Abstracted Multi-armed Bandits	Apr 26, 2024	Decision MakingMulti-Armed Bandits	CodeCode Available	5
Historical Document Image Segmentation with LDA-Initialized Deep Neural Networks	Oct 19, 2017	Image SegmentationSemantic Segmentation	CodeCode Available	5
Classification of Breast Cancer Histopathology Images using a Modified Supervised Contrastive Learning Method	May 6, 2024	Breast Cancer DetectionBreast Cancer Histology Image Classification	CodeCode Available	5
In-Context Transfer Learning: Demonstration Synthesis by Transferring Similar Tasks	Oct 2, 2024	In-Context LearningTransfer Learning	CodeCode Available	5
Incremental Sequence Learning	Nov 9, 2016	General ClassificationIncremental Learning	CodeCode Available	5
Classification of Breast Tumours Based on Histopathology Images Using Deep Features and Ensemble of Gradient Boosting Methods	Sep 3, 2022	Breast Cancer DetectionTransfer 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
Independent Feature Decomposition and Instance Alignment for Unsupervised Domain Adaptation	Apr 19, 2023	Domain AdaptationTransfer Learning	CodeCode Available	5
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning	May 7, 2024	regressionscientific discovery	CodeCode Available	5
HistoKT: Cross Knowledge Transfer in Computational Pathology	Jan 27, 2022	Transfer Learning	CodeCode Available	5
Histopathologic Cancer Detection	Nov 13, 2023	Data AugmentationPrognosis	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
Hi-gMISnet: generalized medical image segmentation using DWT based multilayer fusion and dual mode attention into high resolution pGAN	May 20, 2024	Generative Adversarial NetworkImage Segmentation	CodeCode Available	5
DeePathology: Deep Multi-Task Learning for Inferring Molecular Pathology from Cancer Transcriptome	Aug 7, 2018	Missing ValuesMulti-Task Learning	CodeCode Available	5
Hindi/Bengali Sentiment Analysis Using Transfer Learning and Joint Dual Input Learning with Self Attention	Feb 11, 2022	Sentiment AnalysisTransfer Learning	CodeCode Available	5
Inferring the source of official texts: can SVM beat ULMFiT?	Mar 2, 2020	Text ClassificationTransfer Learning	CodeCode Available	5
Histogram-based Parameter-efficient Tuning for Passive Sonar Classification	Apr 21, 2025	Transfer Learning	CodeCode Available	5
How should we evaluate supervised hashing?	Sep 21, 2016	General ClassificationRetrieval	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