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 7851–7900 of 10307 papers

TitleStatusHype
An End-to-End Attack on Text-based CAPTCHAs Based on Cycle-Consistent Generative Adversarial Network—0
An End-to-End Mispronunciation Detection System for L2 English Speech Leveraging Novel Anti-Phone Modeling—0
An Enhancement of CNN Algorithm for Rice Leaf Disease Image Classification in Mobile Applications—0
An Ensemble Approach to Personalized Real Time Predictive Writing for Experts—0
An ensemble-based approach by fine-tuning the deep transfer learning models to classify pneumonia from chest X-ray images—0
An Ensemble Model for Distorted Images in Real Scenarios—0
A network-based transfer learning approach to improve sales forecasting of new products—0
An Euler-based GAN for time series—0
A Neural Network Based Method with Transfer Learning for Genetic Data Analysis—0
A Neural Network Model for Part-Of-Speech Tagging of Social Media Texts—0
A neural network to classify metaphorical violence on cable news—0
An evaluation of pre-trained models for feature extraction in image classification—0
An Evaluation of Progressive Neural Networksfor Transfer Learning in Natural Language Processing—0
An Evaluation of Recent Neural Sequence Tagging Models in Turkish Named Entity Recognition—0
A New Channel Boosted Convolutional Neural Network using Transfer Learning—0
A New Deep Boosted CNN and Ensemble Learning based IoT Malware Detection—0
A New GAN-based End-to-End TTS Training Algorithm—0
A New Large Scale Dynamic Texture Dataset with Application to ConvNet Understanding—0
A New Mask R-CNN Based Method for Improved Landslide Detection—0
A New Method for Vehicle Logo Recognition Based on Swin Transformer—0
A new method using deep transfer learning on ECG to predict the response to cardiac resynchronization therapy—0
A New Multiple Source Domain Adaptation Fault Diagnosis Method between Different Rotating Machines—0
A New Perspective on Smiling and Laughter Detection: Intensity Levels Matter—0
A new Potential-Based Reward Shaping for Reinforcement Learning Agent—0
A new semi-supervised inductive transfer learning framework: Co-Transfer—0
Transfer or Self-Supervised? Bridging the Performance Gap in Medical Imaging—0
An Explainable Deep Learning Framework for Brain Stroke and Tumor Progression via MRI Interpretation—0
An Explainable Machine Learning Model for Early Detection of Parkinson's Disease using LIME on DaTscan Imagery—0
An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm—0
An Exploration of Data Efficiency in Intra-Dataset Task Transfer for Dialog Understanding—0
An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection—0
An exploratory experiment on Hindi, Bengali hate-speech detection and transfer learning using neural networks—0
An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch—0
An Imitation Learning Based Algorithm Enabling Priori Knowledge Transfer in Modern Electricity Markets for Bayesian Nash Equilibrium Estimation—0
An Improved Model for Diabetic Retinopathy Detection by using Transfer Learning and Ensemble Learning—0
An Improvement for Capsule Networks using Depthwise Separable Convolution—0
An Inductive Transfer Learning Approach using Cycle-consistent Adversarial Domain Adaptation with Application to Brain Tumor Segmentation—0
On the Generalization for Transfer Learning: An Information-Theoretic Analysis—0
An Information-Theoretic Approach to Transferability in Task Transfer Learning—0
An information-Theoretic Approach to Semi-supervised Transfer Learning—0
An Information-Theoretic Perspective on Variance-Invariance-Covariance Regularization—0
An Initial Investigation of Non-Native Spoken Question-Answering—0
An Integrated Imitation and Reinforcement Learning Methodology for Robust Agile Aircraft Control with Limited Pilot Demonstration Data—0
An Integrated Transfer Learning and Multitask Learning Approach for Pharmacokinetic Parameter Prediction—0
An Interpretable Knowledge Transfer Model for Knowledge Base Completion—0
An Interpretable Neural Network with Topical Information for Relevant Emotion Ranking—0
An Intrinsically Knowledge-Transferring Developmental Spiking Neural Network for Tactile Classification—0
An introduction to domain adaptation and transfer learning—0
An Investigation of Feature Selection and Transfer Learning for Writer-Independent Offline Handwritten Signature Verification—0
An Investigation of Transfer Learning-Based Sentiment Analysis in Japanese—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