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 1851–1875 of 10307 papers

Title	Date	Tasks	Status	Score
CARL-D: A vision benchmark suite and large scale dataset for vehicle detection and scene segmentation	Feb 17, 2022	2D Object DetectionAutonomous Driving	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
Advancing Multilingual Handwritten Numeral Recognition with Attention-driven Transfer Learning	Mar 18, 2024	Handwritten Digit RecognitionOptical Character Recognition	CodeCode Available	5
Cardiac MRI Orientation Recognition and Standardization using Deep Neural Networks	Jul 31, 2023	Transfer 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
Capturing Pertinent Symbolic Features for Enhanced Content-Based Misinformation Detection	Jan 29, 2024	ArticlesMisinformation	CodeCode Available	5
Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning	Dec 21, 2023	Contrastive LearningGraph Representation Learning	CodeCode Available	5
Cluster-aware Pseudo-Labeling for Supervised Open Relation Extraction	Oct 1, 2022	RelationRelation Extraction	CodeCode Available	5
A Systematic Comparison of Architectures for Document-Level Sentiment Classification	Feb 19, 2020	ClassificationDocument Classification	CodeCode Available	5
Hierarchical transfer learning with applications for electricity load forecasting	Nov 16, 2021	Additive modelsLoad Forecasting	CodeCode Available	5
Heuristical Comparison of Vision Transformers Against Convolutional Neural Networks for Semantic Segmentation on Remote Sensing Imagery	Nov 14, 2024	image-classificationImage Classification	CodeCode Available	5
Heterogeneous Transfer Learning for Building High-Dimensional Generalized Linear Models with Disparate Datasets	Dec 20, 2023	Transfer Learning	CodeCode Available	5
Can We Guide a Multi-Hop Reasoning Language Model to Incrementally Learn at Each Single-Hop?	Oct 1, 2022	Language ModelingLanguage Modelling	CodeCode Available	5
ADMM-SOFTMAX : An ADMM Approach for Multinomial Logistic Regression	Jan 27, 2019	General Classificationimage-classification	CodeCode Available	5
Heterogeneous Treatment Effect with Trained Kernels of the Nadaraya-Watson Regression	Jul 19, 2022	regressionTransfer Learning	CodeCode Available	5
Are ECGs enough? Deep learning classification of cardiac anomalies using only electrocardiograms	Mar 11, 2025	Electrocardiography (ECG)Transfer Learning	CodeCode Available	5
Can Unsupervised Knowledge Transfer from Social Discussions Help Argument Mining?	Mar 24, 2022	Argument MiningLanguage Modeling	CodeCode Available	5
CNN-based Approach for Cervical Cancer Classification in Whole-Slide Histopathology Images	May 28, 2020	Cancer ClassificationGeneral Classification	CodeCode Available	5
HierarchicalContrast: A Coarse-to-Fine Contrastive Learning Framework for Cross-Domain Zero-Shot Slot Filling	Oct 13, 2023	Contrastive Learningslot-filling	CodeCode Available	5
Large-scale Simple Question Answering with Memory Networks	Jun 5, 2015	Question AnsweringTransfer 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
Interpretation of Swedish Sign Language using Convolutional Neural Networks and Transfer Learning	Oct 15, 2020	Transfer Learning	CodeCode Available	5
Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage Perspective	Feb 26, 2025	Computational EfficiencyTransfer Learning	CodeCode Available	5
Hardware-accelerated Mars Sample Localization via deep transfer learning from photorealistic simulations	Jun 6, 2022	Contour DetectionPose Estimation	CodeCode Available	5
HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions	Apr 1, 2023	Action RecognitionContrastive 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