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 6601–6650 of 10307 papers

TitleStatusHype
ROD: Reception-aware Online Distillation for Sparse GraphsCode0
An Uncertainty-Aware Deep Learning Framework for Defect Detection in Casting Products—0
Federated Semi-Supervised Multi-Task Learning to Detect COVID-19 and Lungs Segmentation Marking Using Chest Radiography Images and Raspberry Pi Devices: An Internet of Medical Things ApplicationCode0
A Real Use Case of Semi-Supervised Learning for Mammogram Classification in a Local Clinic of Costa Rica—0
Training multi-objective/multi-task collocation physics-informed neural network with student/teachers transfer learnings—0
Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks—0
Compositional Models: Multi-Task Learning and Knowledge Transfer with Modular Networks—0
Detail Preserving Residual Feature Pyramid Modules for Optical Flow—0
Improving Polyphonic Sound Event Detection on Multichannel Recordings with the Sørensen-Dice Coefficient Loss and Transfer Learning—0
Size doesn't matter: predicting physico- or biochemical properties based on dozens of molecules—0
Self-transfer learning via patches: A prostate cancer triage approach based on bi-parametric MRI—0
Time-Frequency Analysis based Deep Interference Classification for Frequency Hopping System—0
Window Detection In Facade Imagery: A Deep Learning Approach Using Mask R-CNN—0
Transfer Learning for Credit Card Fraud Detection: A Journey from Research to Production—0
Similarity metrics for Different Market Scenarios in Abides—0
Improved Reinforcement Learning in Cooperative Multi-agent Environments Using Knowledge Transfer—0
Molecular Subtype Prediction for Breast Cancer Using H&E Specialized Backbone—0
Learning ULMFiT and Self-Distillation with Calibration for Medical Dialogue System—0
Class dependency based learning using Bi-LSTM coupled with the transfer learning of VGG16 for the diagnosis of Tuberculosis from chest x-rays—0
Non-asymptotic estimates for TUSLA algorithm for non-convex learning with applications to neural networks with ReLU activation functionCode0
Confidence Aware Neural Networks for Skin Cancer Detection—0
Modality Fusion Network and Personalized Attention in Momentary Stress Detection in the WildCode0
Attention-based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction—0
Boosting the Convergence of Reinforcement Learning-based Auto-pruning Using Historical Data—0
Online Learning for Recommendations at Grubhub—0
BERT Fine-Tuning for Sentiment Analysis on Indonesian Mobile Apps Reviews—0
FST: the FAIR Speech Translation System for the IWSLT21 Multilingual Shared Task—0
ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus—0
Cats, not CAT scans: a study of dataset similarity in transfer learning for 2D medical image classificationCode0
Transfer Learning in Multi-Agent Reinforcement Learning with Double Q-Networks for Distributed Resource Sharing in V2X Communication—0
Toward Efficient Transfer Learning in 6G—0
Deep Transfer Learning Based Intrusion Detection System for Electric Vehicular Networks—0
Improving Speech Translation by Understanding and Learning from the Auxiliary Text Translation Task—0
BCNet: A Deep Convolutional Neural Network for Breast Cancer Grading—0
Spectro-Temporal RF Identification using Deep Learning—0
Detection of Plant Leaf Disease Directly in the JPEG Compressed Domain using Transfer Learning Technique—0
Propagation-aware Social Recommendation by Transfer Learning—0
An Initial Investigation of Non-Native Spoken Question-Answering—0
Transformer-Based Behavioral Representation Learning Enables Transfer Learning for Mobile Sensing in Small Datasets—0
Malware Classification Using Deep Boosted Learning—0
A Systematic Survey of Text Worlds as Embodied Natural Language Environments—0
Fuzzy Rank-based Fusion of CNN Models using Gompertz Function for Screening COVID-19 CT-ScansCode0
Introducing the structural bases of typicality effects in deep learning—0
Differentiable Architecture Pruning for Transfer Learning—0
ADAPT : Awesome Domain Adaptation Python Toolbox—0
On-edge Multi-task Transfer Learning: Model and Practice with Data-driven Task Allocation—0
Transfer Learning for Improving Results on Russian Sentiment DatasetsCode0
Unsupervised Knowledge-Transfer for Learned Image Reconstruction—0
Transfer Learning in Information Criteria-based Feature SelectionCode0
What Makes for Hierarchical Vision Transformer?—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