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 7951–8000 of 10307 papers

TitleStatusHype
Towards Reusable Network Components by Learning Compatible Representations—0
Transfer learning and subword sampling for asymmetric-resource one-to-many neural translationCode0
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
Coronavirus (COVID-19) Classification using Deep Features Fusion and Ranking Technique—0
QuantNet: Transferring Learning Across Systematic Trading StrategiesCode1
COVID_MTNet: COVID-19 Detection with Multi-Task Deep Learning Approaches—0
Deep Face Forgery DetectionCode0
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited DevicesCode0
COVID-MobileXpert: On-Device COVID-19 Patient Triage and Follow-up using Chest X-raysCode1
Light3DPose: Real-time Multi-Person 3D PoseEstimation from Multiple Views—0
Private Knowledge Transfer via Model Distillation with Generative Adversarial Networks—0
Any-Shot Sequential Anomaly Detection in Surveillance Videos—0
TAPAS: Weakly Supervised Table Parsing via Pre-trainingCode0
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
Complete CVDL Methodology for Investigating Hydrodynamic InstabilitiesCode0
Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and RetrievalCode1
Deep Transfer Learning for Texture Classification in Colorectal Cancer Histology—0
On-Device Transfer Learning for Personalising Psychological Stress Modelling using a Convolutional Neural Network—0
PaStaNet: Toward Human Activity Knowledge EngineCode1
AI4COVID-19: AI Enabled Preliminary Diagnosis for COVID-19 from Cough Samples via an AppCode1
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
Pose-Guided Knowledge Transfer for Object Part Segmentation—0
Deep Learning Based Multi-Label Text Classification of UNGA ResolutionsCode0
Adversarial Transfer Learning for Punctuation Restoration—0
Time-Frequency Analysis based Blind Modulation Classification for Multiple-Antenna Systems—0
Transfer Learning of Photometric Phenotypes in Agriculture Using Metadata—0
Diagnosing COVID-19 Pneumonia from X-Ray and CT Images using Deep Learning and Transfer Learning Algorithms—0
MUXConv: Information Multiplexing in Convolutional Neural NetworksCode1
Low Resource Neural Machine Translation: A Benchmark for Five African LanguagesCode1
Optimised Convolutional Neural Networks for Heart Rate Estimation and Human Activity Recognition in Wrist Worn Sensing Applications—0
Deep Molecular Programming: A Natural Implementation of Binary-Weight ReLU Neural Networks—0
Analysis of Knowledge Transfer in Kernel Regime—0
Weakly-supervised land classification for coastal zone based on deep convolutional neural networks by incorporating dual-polarimetric characteristics into training dataset—0
Deep Learning for Radio Resource Allocation with Diverse Quality-of-Service Requirements in 5G—0
Can AI help in screening Viral and COVID-19 pneumonia?Code1
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
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey—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
Scalable learning for bridging the species gap in image-based plant phenotypingCode1
Joint Deep Cross-Domain Transfer Learning for Emotion Recognition—0
Multifactorial Cellular Genetic Algorithm (MFCGA): Algorithmic Design, Performance Comparison and Genetic Transferability Analysis—0
Diagnosis of Breast Cancer Based on Modern Mammography using Hybrid Transfer Learning—0
Distilling Knowledge from Graph Convolutional NetworksCode1
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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