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 7701–7750 of 10307 papers

TitleStatusHype
A Hybrid Approach To Aspect Based Sentiment Analysis Using Transfer Learning—0
A Hybrid Defense Method against Adversarial Attacks on Traffic Sign Classifiers in Autonomous Vehicles—0
A Hybrid End-to-End Spatio-Temporal Attention Neural Network with Graph-Smooth Signals for EEG Emotion Recognition—0
A Hybrid Instance-based Transfer Learning Method—0
A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning—0
A Hybrid Quantum Classical Pipeline for X Ray Based Fracture Diagnosis—0
A Hybrid Transfer Learning Assisted Decision Support System for Accurate Prediction of Alzheimer Disease—0
AI Approaches in Processing and Using Data in Personalized Medicine—0
AI-Assisted Decision-Making for Clinical Assessment of Auto-Segmented Contour Quality—0
AI-Based Energy Transportation Safety: Pipeline Radial Threat Estimation Using Intelligent Sensing System—0
AI based Safety System for Employees of Manufacturing Industries in Developing Countries—0
Interior Object Detection and Color Harmonization—0
AIP: Adversarial Iterative Pruning Based on Knowledge Transfer for Convolutional Neural Networks—0
AI-Powered Semantic Segmentation and Fluid Volume Calculation of Lung CT images in Covid-19 Patients—0
AI Reasoning Systems: PAC and Applied Methods—0
AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale—0
A Joint Energy and Latency Framework for Transfer Learning over 5G Industrial Edge Networks—0
A Joint Multiple Criteria Model in Transfer Learning for Cross-domain Chinese Word Segmentation—0
A Joint Reconstruction-Triplet Loss Autoencoder Approach Towards Unseen Attack Detection in IoV Networks—0
A Knowledge-Grounded Dialog System Based on Pre-Trained Language Models—0
A Knowledge Transfer Framework for Differentially Private Sparse Learning—0
A Layered Learning Approach to Scaling in Learning Classifier Systems for Boolean Problems—0
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels—0
AlexU-BackTranslation-TL at SemEval-2020 Task 12: Improving Offensive Language Detection Using Data Augmentation and Transfer Learning—0
AlgoRxplorers | Precision in Mutation: Enhancing Drug Design with Advanced Protein Stability Prediction Tools—0
A lightweight and accurate YOLO-like network for small target detection in Aerial Imagery—0
A Lightweight ReLU-Based Feature Fusion for Aerial Scene Classification—0
Aligning Generative Language Models with Human Values—0
"A Little is Enough": Few-Shot Quality Estimation based Corpus Filtering improves Machine Translation—0
All About Knowledge Graphs for Actions—0
ALLaM: Large Language Models for Arabic and English—0
Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths—0
All Birds with One Stone: Multi-task Learning for Inference with One Forward Pass—0
All-in-One: Transferring Vision Foundation Models into Stereo Matching—0
All-Transfer Learning for Deep Neural Networks and its Application to Sepsis Classification—0
ALoRE: Efficient Visual Adaptation via Aggregating Low Rank Experts—0
A Lottery Ticket Hypothesis Framework for Low-Complexity Device-Robust Neural Acoustic Scene Classification—0
A Machine Learning Approach for Predicting Human Preference for Graph Layouts—0
A Machine Learning approach to Risk Minimisation in Electricity Markets with Coregionalized Sparse Gaussian Processes—0
A machine learning approach to using Quality-of-Life patient scores in guiding prostate radiation therapy dosing—0
A Macro- and Micro-Hierarchical Transfer Learning Framework for Cross-Domain Fake News Detection—0
A Mamba Foundation Model for Time Series Forecasting—0
A Many Objective Optimization Approach for Transfer Learning in EEG Classification—0
A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning—0
Amazon Alexa AI’s System for IWSLT 2022 Offline Speech Translation Shared Task—0
A Medical Pre-Diagnosis System for Histopathological Image of Breast Cancer—0
A Meta-Learning Approach for Custom Model Training—0
A Meta-Learning Approach for Few-Shot (Dis)Agreement Identification in Online Discussions—0
A Meta-Learning Approach to Population-Based Modelling of Structures—0
A Meta-transfer Learning framework for Visually Grounded Compositional Concept 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