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 9126–9150 of 10307 papers

TitleStatusHype
Deep Convolutional Neural Networks for Palm Fruit Maturity ClassificationCode0
Deep Convolution Networks for Compression Artifacts ReductionCode0
Deep Cross Modal Learning for Caricature Verification and Identification(CaVINet)Code0
DeepEMO: Deep Learning for Speech Emotion RecognitionCode0
Deep Face Forgery DetectionCode0
Deep Hybrid Architecture for Very Low-Resolution Image Classification Using Capsule AttentionCode0
Deep Image Compression via End-to-End LearningCode0
Deep image representations using caption generatorsCode0
Deep Image-to-Recipe TranslationCode0
Deep into The Domain Shift: Transfer Learning through Dependence RegularizationCode0
Deep Learning Algorithms for Hedging with FrictionsCode0
Deep Learning and Transfer Learning Architectures for English Premier League Player Performance ForecastingCode0
Deep learning approaches in food recognitionCode0
Deep Learning Approach for Very Similar Objects Recognition Application on Chihuahua and Muffin ProblemCode0
Deep learning approach to Fourier ptychographic microscopyCode0
Deep Learning based Intelligent Coin-tap Test for Defect RecognitionCode0
Deep Learning Based Multi-Label Text Classification of UNGA ResolutionsCode0
Deep learning-based spatio-temporal fusion for high-fidelity ultra-high-speed x-ray radiographyCode0
Deep Learning Classification of Lake ZooplanktonCode0
Deep learning for Chemometric and non-translational dataCode0
Deep Learning for Detecting Cyberbullying Across Multiple Social Media PlatformsCode0
Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer LearningCode0
Deep Learning for Identifying Iran's Cultural Heritage Buildings in Need of Conservation Using Image Classification and Grad-CAMCode0
Deep Learning MacroeconomicsCode0
Deep Learning Models for Colloidal Nanocrystal SynthesisCode0
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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