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

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Showing 9101–9150 of 10307 papers

TitleStatusHype
Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities—0
Deep Embedding Kernel—0
DeepEmotex: Classifying Emotion in Text Messages using Deep Transfer Learning—0
Deep Ensemble Collaborative Learning by using Knowledge-transfer Graph for Fine-grained Object Classification—0
Deep Ensembles for Low-Data Transfer Learning—0
Deep Ensembling for Perceptual Image Quality Assessment—0
DeepEthnic: Multi-Label Ethnic Classification from Face Images—0
Deepfake Audio Detection Using Spectrogram-based Feature and Ensemble of Deep Learning Models—0
Deepfake Detection of Face Images based on a Convolutional Neural Network—0
Deepfake Video Forensics based on Transfer Learning—0
Deep Feature Learning for Graphs—0
Deep Feature Rotation for Multimodal Image Style Transfer—0
DeepGamble: Towards unlocking real-time player intelligence using multi-layer instance segmentation and attribute detection—0
DeepGaze II: Reading fixations from deep features trained on object recognition—0
Deep Image Category Discovery using a Transferred Similarity Function—0
Deep Implicit Distribution Alignment Networks for Cross-Corpus Speech Emotion Recognition—0
Deep Integrated Pipeline of Segmentation Guided Classification of Breast Cancer from Ultrasound Images—0
Deep Interference Mitigation and Denoising of Real-World FMCW Radar Signals—0
Deep Job Understanding at LinkedIn—0
Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ—0
Deep Learning Analysis of Cardiac MRI in Legacy Datasets: Multi-Ethnic Study of Atherosclerosis—0
Deep Learning and Health Informatics for Smart Monitoring and Diagnosis—0
Deep learning and high harmonic generation—0
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Tensorflow Pretrained Models—0
Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts—0
Deep Learning Approach Combining Lightweight CNN Architecture with Transfer Learning: An Automatic Approach for the Detection and Recognition of Bangladeshi Banknotes—0
Deep Learning Approach for Large-Scale, Real-Time Quantification of Green Fluorescent Protein-Labeled Biological Samples in Microreactors—0
Adaptive Compression-Aware Split Learning and Inference for Enhanced Network Efficiency—0
Deep Learning-based Anomaly Detection on X-ray Images of Fuel Cell Electrodes—0
Deep Learning based Automated Forest Health Diagnosis from Aerial Images—0
Deep Learning-based Bio-Medical Image Segmentation using UNet Architecture and Transfer Learning—0
Deep Learning Based Classification of Unsegmented Phonocardiogram Spectrograms Leveraging Transfer Learning—0
Deep Learning-Based Communication Over the Air—0
Driver Safety Development Real Time Driver Drowsiness Detection System Based on Convolutional Neural Network—0
Deep Learning-based Epicenter Localization using Single-Station Strong Motion Records—0
Deep Learning-based Extreme Heatwave Forecast—0
Deep Learning Based HPV Status Prediction for Oropharyngeal Cancer Patients—0
Deep Learning-Based Image Kernel for Inductive Transfer—0
Deep-Learning-Based Markerless Pose Estimation Systems in Gait Analysis: DeepLabCut Custom Training and the Refinement Function—0
Deep learning based prediction of Alzheimer's disease from magnetic resonance images—0
Deep Learning-based Prediction of Stress and Strain Maps in Arterial Walls for Improved Cardiovascular Risk Assessment—0
Deep Learning-Based Transfer Learning for Classification of Cassava Disease—0
Deep learning-based variational autoencoder for classification of quantum and classical states of light—0
Deep learning-based Visual Measurement Extraction within an Adaptive Digital Twin Framework from Limited Data Using Transfer Learning—0
Deep-Learning Convolutional Neural Networks for scattered shrub detection with Google Earth Imagery—0
``Deep'' Learning : Detecting Metaphoricity in Adjective-Noun Pairs—0
Deep-Learning Driven Noise Reduction for Reduced Flux Computed Tomography—0
Deep Learning-Enabled Sleep Staging From Vital Signs and Activity Measured Using a Near-Infrared Video Camera—0
Deep learning for affective computing: text-based emotion recognition in decision support—0
Deep Learning for Apple Diseases: Classification and Identification—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