SOTAVerified

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 AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7426–7450 of 10307 papers

TitleStatusHype
Transfer Learning as a Method to Reproduce High-Fidelity NLTE Opacities in Simulations—0
Transfer Learning as an Enabler of the Intelligent Digital Twin—0
Transfer Learning as an Enhancement for Reconfiguration Management of Cyber-Physical Production Systems—0
Transfer Learning as an Essential Tool for Digital Twins in Renewable Energy Systems—0
Transfer learning-assisted inverse modeling in nanophotonics based on mixture density networks—0
Transfer Learning Assisted XgBoost For Adaptable Cyberattack Detection In Battery Packs—0
Transfer-Learning-Aware Neuro-Evolution for Diseases Detection in Chest X-Ray Images—0
Transfer Learning Based Automatic Model Creation Tool For Resource Constraint Devices—0
Transfer Learning Based Co-surrogate Assisted Evolutionary Bi-objective Optimization for Objectives with Non-uniform Evaluation Times—0
Transfer Learning Based Cross-lingual Knowledge Extraction for Wikipedia—0
Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments—0
Transfer Learning Based Diagnosis and Analysis of Lung Sound Aberrations—0
Transfer Learning based Dynamic Multiobjective Optimization Algorithms—0
Transfer Learning Based Efficient Traffic Prediction with Limited Training Data—0
Knowledge Transfer based Evolutionary Deep Neural Network for Intelligent Fault Diagnosis—0
Transfer Learning Based Free-Form Speech Command Classification for Low-Resource Languages—0
Transfer Learning-Based Label Proportions Method with Data of Uncertainty—0
Transfer Learning-Based Model Protection With Secret Key—0
Transfer learning based multi-fidelity physics informed deep neural network—0
Transfer Learning Based on AdaBoost for Feature Selection from Multiple ConvNet Layer Features—0
Transfer Learning-Based Outdoor Position Recovery with Telco Data—0
Transfer Learning-based Real-time Handgun Detection—0
Transfer Learning based Search Space Design for Hyperparameter Tuning—0
Transfer Learning based Speech Affect Recognition in Urdu—0
Transfer Learning-based State of Health Estimation for Lithium-ion Battery with Cycle Synchronization—0
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All datasetsOffice-Home100 sleep nights of 8 caregiversBanglaLekha Isolated DatasetCOCO70KITTI Object Tracking Evaluation 2012Retinal Fundus MultiDisease Image Dataset (RFMiD)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1APCLIPAccuracy84.2—Unverified
2DFA-ENTAccuracy69.2—Unverified
3DFA-SAFNAccuracy69.1—Unverified
4EasyTLAccuracy63.3—Unverified
5MEDAAccuracy60.3—Unverified
#ModelMetricClaimedVerifiedStatus
1CNN10-20% Mask PSNR3.23—Unverified
#ModelMetricClaimedVerifiedStatus
1Chatterjee, Dutta et al.[1]Accuracy96.12—Unverified
#ModelMetricClaimedVerifiedStatus
1Co-TuningAccuracy85.65—Unverified
#ModelMetricClaimedVerifiedStatus
1Physical AccessEER5.74—Unverified
#ModelMetricClaimedVerifiedStatus
1riadd.aucmediAUROC0.95—Unverified