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 2051–2075 of 10307 papers

Title	Date	Tasks	Status	Score
GPT-3 Models are Poor Few-Shot Learners in the Biomedical Domain	Sep 6, 2021	Few-Shot LearningLanguage Modelling	CodeCode Available	5
An Information-Geometric Distance on the Space of Tasks	Nov 1, 2020	image-classificationImage Classification	CodeCode Available	5
Brain age prediction using deep learning uncovers associated sequence variants	Nov 27, 2019	Age EstimationDeep Learning	CodeCode Available	5
A domain adaptation neural network for digital twin-supported fault diagnosis	May 27, 2025	DiagnosticDomain Adaptation	CodeCode Available	5
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation	Jan 27, 2022	Few-Shot Text ClassificationMeta-Learning	CodeCode Available	5
HANA: A HAndwritten NAme Database for Offline Handwritten Text Recognition	Jan 22, 2021	Handwritten Text RecognitionTransfer Learning	CodeCode Available	5
Bounded logit attention: Learning to explain image classifiers	May 31, 2021	Explainable artificial intelligencefeature selection	CodeCode Available	5
BotTrans: A Multi-Source Graph Domain Adaptation Approach for Social Bot Detection	Jun 12, 2025	Domain AdaptationGRAPH DOMAIN ADAPTATION	CodeCode Available	5
Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation	Nov 14, 2016	Machine TranslationNMT	CodeCode Available	5
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning	Feb 28, 2017	General ClassificationTransfer Learning	CodeCode Available	5
Bootstrapping the Performance of Webly Supervised Semantic Segmentation	Jun 1, 2018	SegmentationSemantic Segmentation	CodeCode Available	5
Going Extreme: Comparative Analysis of Hate Speech in Parler and Gab	Jan 27, 2022	Hate Speech DetectionTransfer Learning	CodeCode Available	5
Adjustment for Confounding using Pre-Trained Representations	Jun 17, 2025	parameter estimationTransfer Learning	CodeCode Available	5
Google Vizier: A Service for Black-Box Optimization	Jan 1, 2017	AutoMLBIG-bench Machine Learning	CodeCode Available	5
GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations	Jun 14, 2018	image-classificationImage Classification	CodeCode Available	5
Global Safe Sequential Learning via Efficient Knowledge Transfer	Feb 22, 2024	Active LearningBayesian Optimization	CodeCode Available	5
Animal Detection in Man-made Environments	Oct 24, 2019	Edge Detectionobject-detection	CodeCode Available	5
Glo-In-One-v2: Holistic Identification of Glomerular Cells, Tissues, and Lesions in Human and Mouse Histopathology	Nov 25, 2024	Lesion SegmentationSegmentation	CodeCode Available	5
GKT: A Novel Guidance-Based Knowledge Transfer Framework For Efficient Cloud-edge Collaboration LLM Deployment	May 30, 2024	GSM8KKnowledge Distillation	CodeCode Available	5
ANGOFA: Leveraging OFA Embedding Initialization and Synthetic Data for Angolan Language Model	Apr 3, 2024	Language ModelingLanguage Modelling	CodeCode Available	5
GIST at SemEval-2018 Task 12: A network transferring inference knowledge to Argument Reasoning Comprehension task	Jun 1, 2018	Common Sense ReasoningNatural Language Inference	CodeCode Available	5
Gotta Learn Fast: A New Benchmark for Generalization in RL	Apr 10, 2018	Few-Shot Learningreinforcement-learning	CodeCode Available	5
GenTL: A General Transfer Learning Model for Building Thermal Dynamics	Jan 23, 2025	Deep LearningTransfer Learning	CodeCode Available	5
Geographical Distance Is The New Hyperparameter: A Case Study Of Finding The Optimal Pre-trained Language For English-isiZulu Machine Translation	May 17, 2022	Low-Resource Neural Machine TranslationMachine Translation	CodeCode Available	5
Geostatistical Learning: Challenges and Opportunities	Feb 17, 2021	Learning TheoryModel Selection	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