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 3026–3050 of 10307 papers

Title	Date	Tasks	Status	Score
AxFormer: Accuracy-driven Approximation of Transformers for Faster, Smaller and more Accurate NLP Models	Oct 7, 2020	Hard AttentionQuantization	CodeCode Available	5
Exploring Model Transferability through the Lens of Potential Energy	Aug 29, 2023	Model SelectionTransfer Learning	CodeCode Available	5
Exploring Pre-Trained Transformers and Bilingual Transfer Learning for Arabic Coreference Resolution	Nov 1, 2021	coreference-resolutionCoreference Resolution	CodeCode Available	5
Commonsense Knowledge Base Completion with Structural and Semantic Context	Oct 7, 2019	Computational EfficiencyKnowledge Base Completion	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
COVID-19 Detection in Chest X-Ray Images using a New Channel Boosted CNN	Dec 8, 2020	Domain AdaptationTransfer Learning	CodeCode Available	5
Explicit Inductive Bias for Transfer Learning with Convolutional Networks	Feb 5, 2018	Inductive BiasTransfer Learning	CodeCode Available	5
Exploiting Graph Structured Cross-Domain Representation for Multi-Domain Recommendation	Feb 12, 2023	Multi-Domain Recommender SystemsRecommendation Systems	CodeCode Available	5
Disentangling and Mitigating the Impact of Task Similarity for Continual Learning	May 30, 2024	Continual LearningPermuted-MNIST	CodeCode Available	5
Explicit Alignment Objectives for Multilingual Bidirectional Encoders	Oct 15, 2020	Cross-Lingual TransferRetrieval	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
Bird Species Classification using Transfer Learning with Multistage Training	Oct 9, 2018	ClassificationGeneral Classification	CodeCode Available	5
Exploring Driving-aware Salient Object Detection via Knowledge Transfer	May 18, 2021	Objectobject-detection	CodeCode Available	5
Exploring Self-Supervised Representation Learning For Low-Resource Medical Image Analysis	Mar 3, 2023	Medical Image AnalysisPrognosis	CodeCode Available	5
Extending LLMs to New Languages: A Case Study of Llama and Persian Adaptation	Dec 17, 2024	Classificationparameter-efficient fine-tuning	CodeCode Available	5
Expanding the Horizon: Enabling Hybrid Quantum Transfer Learning for Long-Tailed Chest X-Ray Classification	Apr 30, 2024	Binary ClassificationClassification	CodeCode Available	5
Exclusive Supermask Subnetwork Training for Continual Learning	Oct 18, 2022	Continual LearningText Classification	CodeCode Available	5
EXPANSE: A Deep Continual / Progressive Learning System for Deep Transfer Learning	May 19, 2022	Continual LearningTransfer Learning	CodeCode Available	5
Mixture of Online and Offline Experts for Non-stationary Time Series	Feb 12, 2022	Time SeriesTransfer Learning	CodeCode Available	5
EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural Networks	Feb 8, 2022	Computational Efficiencyfeature selection	CodeCode Available	5
Asynchronous Multi-Task Learning	Sep 30, 2016	Multi-Task LearningTransfer Learning	CodeCode Available	5
Counterfactual Detection meets Transfer Learning	May 27, 2020	Binary Classificationcounterfactual	CodeCode Available	5
Adapting Multilingual LLMs to Low-Resource Languages with Knowledge Graphs via Adapters	Jul 1, 2024	Knowledge GraphsLanguage Modeling	CodeCode Available	5
EvoCLINICAL: Evolving Cyber-Cyber Digital Twin with Active Transfer Learning for Automated Cancer Registry System	Sep 6, 2023	Active LearningTransfer Learning	CodeCode Available	5
Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning	Jan 26, 2025	Multi-agent Reinforcement Learningreinforcement-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