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 3326–3350 of 10307 papers

Title	Date	Tasks	Status	Score
Ensemble Augmentation for Deep Neural Networks Using 1-D Time Series Vibration Data	Aug 6, 2021	Data AugmentationGenerative Adversarial Network	CodeCode Available	5
Continuous Detection, Rapidly React: Unseen Rumors Detection based on Continual Prompt-Tuning	Mar 16, 2022	Transfer Learning	CodeCode Available	5
Enhancing Scene Classification in Cloudy Image Scenarios: A Collaborative Transfer Method with Information Regulation Mechanism using Optical Cloud-Covered and SAR Remote Sensing Images	Jan 8, 2025	Cloud RemovalKnowledge Distillation	CodeCode Available	5
Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies	May 14, 2019	Cross-Lingual TransferLow Resource Neural Machine Translation	CodeCode Available	5
Effective Cross-Task Transfer Learning for Explainable Natural Language Inference with T5	Oct 31, 2022	Multi-Task LearningNatural Language Inference	CodeCode Available	5
Spike encoding techniques for IoT time-varying signals benchmarked on a neuromorphic classification task	Dec 21, 2022	Model CompressionTransfer Learning	CodeCode Available	5
Enhancing textual textbook question answering with large language models and retrieval augmented generation	Feb 5, 2024	Multiple-choiceQuestion Answering	CodeCode Available	5
Can Unsupervised Knowledge Transfer from Social Discussions Help Argument Mining?	Mar 24, 2022	Argument MiningLanguage Modeling	CodeCode Available	5
SpotTune: Transfer Learning through Adaptive Fine-tuning	Nov 21, 2018	Inductive BiasTransfer Learning	CodeCode Available	5
Ensemble Learning via Knowledge Transfer for CTR Prediction	Nov 25, 2024	Click-Through Rate PredictionEnsemble Learning	CodeCode Available	5
Continual Reinforcement Learning for HVAC Systems Control: Integrating Hypernetworks and Transfer Learning	Mar 24, 2025	Continual LearningDeep Reinforcement Learning	CodeCode Available	5
Continual Prune-and-Select: Class-incremental learning with specialized subnetworks	Aug 9, 2022	class-incremental learningClass Incremental Learning	CodeCode Available	5
Stability of Graph Scattering Transforms	Jun 11, 2019	Transfer Learning	CodeCode Available	5
A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion	Apr 3, 2017	Face RecognitionTransfer Learning	CodeCode Available	5
Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity Recognition	Nov 21, 2017	Language ModelingLanguage Modelling	CodeCode Available	5
Effect of Deep Transfer and Multi task Learning on Sperm Abnormality Detection	Nov 21, 2021	Anomaly DetectionMulti-Task Learning	CodeCode Available	5
Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer	Dec 20, 2024	Classifier calibrationFew-Shot Semantic Segmentation	CodeCode Available	5
Enhancing Human Pose Estimation in Ancient Vase Paintings via Perceptually-grounded Style Transfer Learning	Dec 10, 2020	Image RetrievalPose Estimation	CodeCode Available	5
Straightforward Layer-wise Pruning for More Efficient Visual Adaptation	Jul 19, 2024	ClusteringTransfer Learning	CodeCode Available	5
Enhancing Cross-Dataset Performance of Distracted Driving Detection With Score Softmax Classifier And Dynamic Gaussian Smoothing Supervision	Oct 8, 2023	Transfer Learning	CodeCode Available	5
Effects of the Nonlinearity in Activation Functions on the Performance of Deep Learning Models	Oct 14, 2020	image-classificationImage Classification	CodeCode Available	5
Enhancing Brain Tumor Segmentation Using Channel Attention and Transfer learning	Jan 19, 2025	Brain Tumor SegmentationImage Segmentation	CodeCode Available	5
Enhancing Dataset Distillation via Non-Critical Region Refinement	Mar 24, 2025	Dataset DistillationTransfer Learning	CodeCode Available	5
Structured Probabilistic Pruning for Convolutional Neural Network Acceleration	Sep 20, 2017	Transfer Learning	CodeCode Available	5
End-to-End Video Question-Answer Generation with Generator-Pretester Network	Jan 5, 2021	Answer GenerationQuestion-Answer-Generation	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