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

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Showing 2951–2975 of 10307 papers

Title	Date	Tasks	Status	Score
Exploring Pre-Trained Transformers and Bilingual Transfer Learning for Arabic Coreference Resolution	Nov 1, 2021	coreference-resolutionCoreference Resolution	CodeCode Available	5
A Large-scale Attribute Dataset for Zero-shot Learning	Apr 12, 2018	AttributeTransfer Learning	CodeCode Available	5
Net2Net: Accelerating Learning via Knowledge Transfer	Nov 18, 2015	Transfer Learning	CodeCode Available	5
Dexterous Robotic Manipulation using Deep Reinforcement Learning and Knowledge Transfer for Complex Sparse Reward-based Tasks	May 19, 2022	Deep Reinforcement LearningTransfer Learning	CodeCode Available	5
Exploring object-centric and scene-centric CNN features and their complementarity for human rights violations recognition in images	May 12, 2018	Representation LearningTransfer Learning	CodeCode Available	5
Network Pruning via Transformable Architecture Search	May 23, 2019	Knowledge DistillationNetwork Pruning	CodeCode Available	5
Exploring Self-Supervised Representation Learning For Low-Resource Medical Image Analysis	Mar 3, 2023	Medical Image AnalysisPrognosis	CodeCode Available	5
Improved Automated Machine Learning from Transfer Learning	Feb 27, 2021	BIG-bench Machine LearningGPU	CodeCode Available	5
CREST: Cross-modal Resonance through Evidential Deep Learning for Enhanced Zero-Shot Learning	Apr 15, 2024	AttributeTransfer Learning	CodeCode Available	5
A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors	May 14, 2018	Document ClassificationDomain Adaptation	CodeCode Available	5
Exploring Cross-Cultural Differences in English Hate Speech Annotations: From Dataset Construction to Analysis	Aug 31, 2023	Hate Speech DetectionTransfer Learning	CodeCode Available	5
A Technical Question Answering System with Transfer Learning	Oct 1, 2020	Question AnsweringTransfer Learning	CodeCode Available	5
Exploring Multilingual Syntactic Sentence Representations	Oct 25, 2019	SentenceSentence Embeddings	CodeCode Available	5
Neural Machine Translation of Clinical Text: An Empirical Investigation into Multilingual Pre-Trained Language Models and Transfer-Learning	Dec 12, 2023	Clinical KnowledgeLanguage Modelling	CodeCode Available	5
Leveraging Cross-Lingual Transfer Learning in Spoken Named Entity Recognition Systems	Jul 3, 2023	Cross-Lingual Transfernamed-entity-recognition	CodeCode Available	5
Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer	May 24, 2025	Transfer Learning	CodeCode Available	5
Self-Attentional Credit Assignment for Transfer in Reinforcement Learning	Jul 18, 2019	reinforcement-learningReinforcement Learning	CodeCode Available	5
Neural Subgraph Isomorphism Counting	Dec 25, 2019	Domain AdaptationGraph Learning	CodeCode Available	5
Exploring Driving-aware Salient Object Detection via Knowledge Transfer	May 18, 2021	Objectobject-detection	CodeCode Available	5
Creativity Inspired Zero-Shot Learning	Apr 1, 2019	AttributeTransfer Learning	CodeCode Available	5
A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning	Apr 8, 2019	Face RecognitionImage Classification	CodeCode Available	5
Exploiting Semantic Localization in Highly Dynamic Wireless Networks Using Deep Homoscedastic Domain Adaptation	Oct 11, 2023	Domain AdaptationRepresentation Learning	CodeCode Available	5
Commonsense Knowledge Base Completion with Structural and Semantic Context	Oct 7, 2019	Computational EfficiencyKnowledge Base Completion	CodeCode Available	5
Did you offend me? Classification of Offensive Tweets in Hinglish Language	Oct 1, 2018	Abuse DetectionGeneral Classification	CodeCode Available	5
Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine Translation	Jul 6, 2019	BenchmarkingDomain Adaptation	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