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 9301–9350 of 10307 papers

TitleStatusHype
Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus—0
Assessing Electricity Service Unfairness with Transfer Counterfactual Learning—0
Detecting Glioma, Meningioma, and Pituitary Tumors, and Normal Brain Tissues based on Yolov11 and Yolov8 Deep Learning Models—0
Detecting Offensive Tweets in Hindi-English Code-Switched Language—0
Detecting Privacy Requirements from User Stories with NLP Transfer Learning Models—0
Detecting Requirements Smells With Deep Learning: Experiences, Challenges and Future Work—0
Detecting Social Media Manipulation in Low-Resource Languages—0
Detecting Throat Cancer from Speech Signals using Machine Learning: A Scoping Literature Review—0
Detecting Wildfire Flame and Smoke through Edge Computing using Transfer Learning Enhanced Deep Learning Models—0
Detection and Classification of Acute Lymphoblastic Leukemia Utilizing Deep Transfer Learning—0
Detection and Classification of Astronomical Targets with Deep Neural Networks in Wide Field Small Aperture Telescopes—0
Detection and Classification of Brain tumors Using Deep Convolutional Neural Networks—0
Detection and Geographic Localization of Natural Objects in the Wild: A Case Study on Palms—0
Detection and Positive Reconstruction of Cognitive Distortion sentences: Mandarin Dataset and Evaluation—0
Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning—0
Detection-Guided Deep Learning-Based Model with Spatial Regularization for Lung Nodule Segmentation—0
Detection of Alzheimers Disease from MRI using Convolutional Neural Networks, Exploring Transfer Learning And BellCNN—0
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
Detection of COVID19 in Chest X-Ray Images Using Transfer Learning—0
Detection of Hate Speech using BERT and Hate Speech Word Embedding with Deep Model—0
Detection of Plant Leaf Disease Directly in the JPEG Compressed Domain using Transfer Learning Technique—0
Detection under Privileged Information—0
Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning—0
Determination of droplet size from wide-angle light scattering image data using convolutional neural networks—0
Determination of the critical points for systems of directed percolation class using machine learning—0
DetOFA: Efficient Training of Once-for-All Networks for Object Detection Using Path Filter—0
Developing Conversational Data and Detection of Conversational Humor in Telugu—0
Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks—0
Developing High Quality Training Samples for Deep Learning Based Local Climate Zone Classification in Korea—0
Developmental Bayesian Optimization of Black-Box with Visual Similarity-Based Transfer Learning—0
Development and Comparison of Scoring Functions in Curriculum Learning—0
Development of a High Fidelity Simulator for Generalised Photometric Based Space Object Classification using Machine Learning—0
Development of a Prototype Application for Rice Disease Detection Using Convolutional Neural Networks—0
Development of a TV Broadcasts Speech Recognition System for Qatari Arabic—0
Development of a WAZOBIA-Named Entity Recognition System—0
Development of CNN Architectures using Transfer Learning Methods for Medical Image Classification—0
Development of Deep Transformer-Based Models for Long-Term Prediction of Transient Production of Oil Wells—0
DeviceBERT: Applied Transfer Learning With Targeted Annotations and Vocabulary Enrichment to Identify Medical Device and Component Terminology in FDA Recall Summaries—0
DEXTER: An end-to-end system to extract table contents from electronic medical health documents—0
Diabetic Retinopathy Detection Using Quantum Transfer Learning—0
Diabetic Retinopathy Grading System Based on Transfer Learning—0
Diagnosing COVID-19 Pneumonia from X-Ray and CT Images using Deep Learning and Transfer Learning Algorithms—0
Diagnosis of Breast Cancer Based on Modern Mammography using Hybrid Transfer Learning—0
Diagnosis of Patients with Viral, Bacterial, and Non-Pneumonia Based on Chest X-Ray Images Using Convolutional Neural Networks—0
Diagnosis of Skin Cancer Using VGG16 and VGG19 Based Transfer Learning Models—0
Diagnosis-oriented Medical Image Compression with Efficient Transfer Learning—0
Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning—0
Dialogue Strategy Adaptation to New Action Sets Using Multi-dimensional Modelling—0
Dialogue Term Extraction using Transfer Learning and Topological Data Analysis—0
Dick-Preston and Morbo at SemEval-2019 Task 4: Transfer Learning for Hyperpartisan News Detection—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