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 2601–2625 of 10307 papers

Title	Date	Tasks	Status	Score
Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain Study	Jan 18, 2024	Data AugmentationFew-Shot Learning	CodeCode Available	5
Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup	Dec 12, 2021	Natural Language InferenceTransfer Learning	CodeCode Available	5
Improving Meta-Learning Generalization with Activation-Based Early-Stopping	Aug 3, 2022	Few-Shot LearningMeta-Learning	CodeCode Available	5
Improving Representational Continuity via Continued Pretraining	Feb 26, 2023	Continual LearningRepresentation Learning	CodeCode Available	5
Improving Self-Supervised Learning-based MOS Prediction Networks	Apr 23, 2022	PredictionQuantization	CodeCode Available	5
Deep Face Forgery Detection	Apr 6, 2020	Binary ClassificationClassification	CodeCode Available	5
Fine-Grained Classification for Poisonous Fungi Identification with Transfer Learning	Jul 10, 2024	Fine-Grained Visual CategorizationTransfer Learning	CodeCode Available	5
Few-Shot Fruit Segmentation via Transfer Learning	May 4, 2024	Few-Shot Semantic SegmentationScene Parsing	CodeCode Available	5
Few-shot classification in Named Entity Recognition Task	Dec 14, 2018	ClassificationGeneral Classification	CodeCode Available	5
Cross Modality Knowledge Distillation for Multi-Modal Aerial View Object Classification	Jun 19, 2021	Image ClassificationKnowledge Distillation	CodeCode Available	5
Few-shot calibration of low-cost air pollution (PM2.5) sensors using meta-learning	Aug 2, 2021	Meta-LearningTransfer Learning	CodeCode Available	5
FedRef: Communication-Efficient Bayesian Fine Tuning with Reference Model	Jun 29, 2025	Brain Tumor SegmentationFederated Learning	CodeCode Available	5
Feudal Graph Reinforcement Learning	Apr 11, 2023	Decision MakingGraph Clustering	CodeCode Available	5
Few-Shot Image Recognition With Knowledge Transfer	Oct 1, 2019	Transfer Learning	CodeCode Available	5
Automatic Issue Classifier: A Transfer Learning Framework for Classifying Issue Reports	Feb 12, 2022	TAGTransfer Learning	CodeCode Available	5
Federated Domain Generalization via Prompt Learning and Aggregation	Nov 15, 2024	Domain GeneralizationPrivacy Preserving	CodeCode Available	5
Federated Machine Learning: Concept and Applications	Feb 13, 2019	BIG-bench Machine LearningFederated Learning	CodeCode Available	5
Attention-Guided Lidar Segmentation and Odometry Using Image-to-Point Cloud Saliency Transfer	Aug 28, 2023	3D Semantic SegmentationAutonomous Driving	CodeCode Available	5
Deep Hybrid Architecture for Very Low-Resolution Image Classification Using Capsule Attention	Sep 27, 2024	image-classificationImage Classification	CodeCode Available	5
FedPCL-CDR: A Federated Prototype-based Contrastive Learning Framework for Privacy-Preserving Cross-domain Recommendation	Sep 5, 2024	Contrastive LearningFederated Learning	CodeCode Available	5
Federated Continual Graph Learning	Nov 28, 2024	Continual LearningGraph Learning	CodeCode Available	5
Deep Image Compression via End-to-End Learning	Jun 5, 2018	Image CompressionMS-SSIM	CodeCode Available	5
Federated Continual Learning for Text Classification via Selective Inter-client Transfer	Oct 12, 2022	Continual LearningFederated Learning	CodeCode Available	5
Deep image representations using caption generators	May 25, 2017	RetrievalTransfer Learning	CodeCode Available	5
Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning	Dec 21, 2023	Domain GeneralizationFederated 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