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 8101–8150 of 10307 papers

TitleStatusHype
Coronavirus (COVID-19) Classification using Deep Features Fusion and Ranking Technique—0
Within the Lack of COVID-19 Benchmark Dataset: A Novel GAN with Deep Transfer Learning for Corona-virus Detection in Chest X-ray Images—0
Towards Non-task-specific Distillation of BERT via Sentence Representation Approximation—0
Deep Face Forgery DetectionCode0
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited DevicesCode0
Light3DPose: Real-time Multi-Person 3D PoseEstimation from Multiple Views—0
TAPAS: Weakly Supervised Table Parsing via Pre-trainingCode0
Any-Shot Sequential Anomaly Detection in Surveillance Videos—0
Private Knowledge Transfer via Model Distillation with Generative Adversarial Networks—0
An Iterative Multi-Knowledge Transfer Network for Aspect-Based Sentiment AnalysisCode0
Deep learning approaches in food recognitionCode0
A white-box analysis on the writer-independent dichotomy transformation applied to offline handwritten signature verification—0
On-Device Transfer Learning for Personalising Psychological Stress Modelling using a Convolutional Neural Network—0
Deep Transfer Learning for Texture Classification in Colorectal Cancer Histology—0
Complete CVDL Methodology for Investigating Hydrodynamic InstabilitiesCode0
Detection of Coronavirus (COVID-19) Associated Pneumonia based on Generative Adversarial Networks and a Fine-Tuned Deep Transfer Learning Model using Chest X-ray Dataset—0
Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations—0
Time-Frequency Analysis based Blind Modulation Classification for Multiple-Antenna Systems—0
Transfer Learning of Photometric Phenotypes in Agriculture Using Metadata—0
Adversarial Transfer Learning for Punctuation Restoration—0
Pose-Guided Knowledge Transfer for Object Part Segmentation—0
Deep Learning Based Multi-Label Text Classification of UNGA ResolutionsCode0
Diagnosing COVID-19 Pneumonia from X-Ray and CT Images using Deep Learning and Transfer Learning Algorithms—0
Analysis of Knowledge Transfer in Kernel Regime—0
Deep Molecular Programming: A Natural Implementation of Binary-Weight ReLU Neural Networks—0
Optimised Convolutional Neural Networks for Heart Rate Estimation and Human Activity Recognition in Wrist Worn Sensing Applications—0
Weakly-supervised land classification for coastal zone based on deep convolutional neural networks by incorporating dual-polarimetric characteristics into training dataset—0
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey—0
Elastic Coupled Co-clustering for Single-Cell Genomic DataCode0
Experience Selection Using Dynamics Similarity for Efficient Multi-Source Transfer Learning Between Robots—0
Parallel Knowledge Transfer in Multi-Agent Reinforcement Learning—0
Deep Learning for Radio Resource Allocation with Diverse Quality-of-Service Requirements in 5G—0
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural networkCode0
Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks—0
Multifactorial Cellular Genetic Algorithm (MFCGA): Algorithmic Design, Performance Comparison and Genetic Transferability Analysis—0
Joint Deep Cross-Domain Transfer Learning for Emotion Recognition—0
Diagnosis of Breast Cancer Based on Modern Mammography using Hybrid Transfer Learning—0
Ensembles of Deep Neural Networks for Action Recognition in Still Images—0
Exploring Bottom-up and Top-down Cues with Attentive Learning for Webly Supervised Object Detection—0
Fully Automated Hand Hygiene Monitoring\ Operating Room using 3D Convolutional Neural Network—0
Intelligent multiscale simulation based on process-guided composite database—0
Microvasculature Segmentation and Inter-capillary Area Quantification of the Deep Vascular Complex using Transfer Learning—0
Pairwise Similarity Knowledge Transfer for Weakly Supervised Object LocalizationCode0
3D medical image segmentation with labeled and unlabeled data using autoencoders at the example of liver segmentation in CT images—0
Inverse Design of Potential Singlet Fission Molecules using a Transfer Learning Based ApproachCode0
ActiLabel: A Combinatorial Transfer Learning Framework for Activity Recognition—0
Identifying Individual Dogs in Social Media Images—0
Class Conditional Alignment for Partial Domain Adaptation—0
FrImCla: A Framework for Image Classification Using Traditional and Transfer Learning TechniquesCode0
Customized Video QoE Estimation with Algorithm-Agnostic Transfer Learning—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