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 3076–3100 of 10307 papers

Title	Date	Tasks	Status	Score
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
Explaining the physics of transfer learning a data-driven subgrid-scale closure to a different turbulent flow	Jun 7, 2022	Out-of-Distribution GeneralizationTransfer Learning	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
Learning Diverse Options via InfoMax Termination Critic	Oct 6, 2020	Continuous ControlDiversity	CodeCode Available	5
Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations	Apr 1, 2022	Domain AdaptationMeta-Learning	CodeCode Available	5
Exploring Self-Supervised Representation Learning For Low-Resource Medical Image Analysis	Mar 3, 2023	Medical Image AnalysisPrognosis	CodeCode Available	5
Corresponding Projections for Orphan Screening	Nov 30, 2018	Drug DiscoveryTransfer Learning	CodeCode Available	5
DKC: Differentiated Knowledge Consolidation for Cloth-Hybrid Lifelong Person Re-identification	Jan 1, 2025	Lifelong learningPerson Re-Identification	CodeCode Available	5
Correlation Congruence for Knowledge Distillation	Apr 3, 2019	Face Recognitionimage-classification	CodeCode Available	5
Asymmetric Co-Training for Source-Free Few-Shot Domain Adaptation	Feb 20, 2025	Domain AdaptationTransfer Learning	CodeCode Available	5
Correlational Neural Networks	Apr 27, 2015	Representation LearningTransfer Learning	CodeCode Available	5
Boosting Handwriting Text Recognition in Small Databases with Transfer Learning	Apr 4, 2018	HTRTransfer Learning	CodeCode Available	5
POS-tagging to highlight the skeletal structure of sentences	Nov 21, 2024	Machine TranslationMorphological Analysis	CodeCode Available	5
Correlated-informed neural networks: a new machine learning framework to predict pressure drop in micro-channels	Jan 19, 2022	Transfer Learning	CodeCode Available	5
AI Blue Book: Vehicle Price Prediction using Visual Features	Mar 29, 2018	General ClassificationPrediction	CodeCode Available	5
Boosting High Resolution Image Classification with Scaling-up Transformers	Sep 26, 2023	ClassificationData Augmentation	CodeCode Available	5
Practical Deep Learning for Cloud, Mobile, and Edge	Oct 1, 2019	Deep LearningTransfer Learning	CodeCode Available	5
Adapting Monolingual Models: Data can be Scarce when Language Similarity is High	May 6, 2021	POSPOS Tagging	CodeCode Available	5
DocFace: Matching ID Document Photos to Selfies	May 6, 2018	Face RecognitionTAR	CodeCode Available	5
Corona-Nidaan: lightweight deep convolutional neural network for chest X-Ray based COVID-19 infection detection	Feb 1, 2021	COVID-19 DiagnosisTransfer Learning	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
CoRe-Net: Co-Operational Regressor Network with Progressive Transfer Learning for Blind Radar Signal Restoration	Jan 28, 2025	Self-LearningTransfer Learning	CodeCode Available	5
Exclusive Supermask Subnetwork Training for Continual Learning	Oct 18, 2022	Continual LearningText Classification	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