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 1701–1750 of 10307 papers

TitleStatusHype
Bias and Generalizability of Foundation Models across Datasets in Breast Mammography—0
Community-based Multi-Agent Reinforcement Learning with Transfer and Active Exploration—0
Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer—0
Knowledge-Informed Deep Learning for Irrigation Type Mapping from Remote Sensing—0
GNN-based Precoder Design and Fine-tuning for Cell-free Massive MIMO with Real-world CSI—0
A computer vision-based model for occupancy detection using low-resolution thermal images—0
MoKD: Multi-Task Optimization for Knowledge Distillation—0
Revealing economic facts: LLMs know more than they say—0
Transfer Learning Across Fixed-Income Product Classes—0
Linux Kernel Configurations at Scale: A Dataset for Performance and Evolution AnalysisCode0
Sleep Position Classification using Transfer Learning for Bed-based Pressure Sensors—0
Multi-modal wound classification using wound image and location by Xception and Gaussian Mixture Recurrent Neural Network (GMRNN)—0
Gameplay Highlights Generation—0
Automated Visual Attention Detection using Mobile Eye Tracking in Behavioral Classroom Studies—0
A Split-then-Join Approach to Abstractive Summarization for Very Long Documents in a Low Resource SettingCode0
Bridging Ears and Eyes: Analyzing Audio and Visual Large Language Models to Humans in Visible Sound Recognition and Reducing Their Sensory Gap via Cross-Modal Distillation—0
A systematic review of challenges and proposed solutions in modeling multimodal data—0
Development of a WAZOBIA-Named Entity Recognition System—0
Mixer-Informer-Based Two-Stage Transfer Learning for Long-Sequence Load Forecasting in Newly Constructed Electric Vehicle Charging Stations—0
Leveraging Multi-Task Learning for Multi-Label Power System Security Assessment—0
NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly PipelinesCode0
Automated Knot Detection and Pairing for Wood Analysis in the Timber Industry—0
Robust & Precise Knowledge Distillation-based Novel Context-Aware Predictor for Disease Detection in Brain and Gastrointestinal—0
Multimodal Integrated Knowledge Transfer to Large Language Models through Preference Optimization with Biomedical ApplicationsCode0
HyperspectralMAE: The Hyperspectral Imagery Classification Model using Fourier-Encoded Dual-Branch Masked Autoencoder—0
The Application of Deep Learning for Lymph Node Segmentation: A Systematic Review—0
Improved Brain Tumor Detection in MRI: Fuzzy Sigmoid Convolution in Deep Learning—0
VaCDA: Variational Contrastive Alignment-based Scalable Human Activity Recognition—0
Structural Alignment in Link PredictionCode0
Prompted Meta-Learning for Few-shot Knowledge Graph Completion—0
HMAE: Self-Supervised Few-Shot Learning for Quantum Spin Systems—0
Multi-modal cascade feature transfer for polymer property prediction—0
Sustainable Smart Farm Networks: Enhancing Resilience and Efficiency with Decision Theory-Guided Deep Reinforcement Learning—0
Comparative Analysis of Lightweight Deep Learning Models for Memory-Constrained Devices—0
Aerodynamic and structural airfoil shape optimisation via Transfer Learning-enhanced Deep Reinforcement Learning—0
Advanced Clustering Framework for Semiconductor Image Analytics Integrating Deep TDA with Self-Supervised and Transfer Learning Techniques—0
Early Prediction of Sepsis: Feature-Aligned Transfer Learning—0
Finger Pose Estimation for Under-screen Fingerprint SensorCode0
Local Herb Identification Using Transfer Learning: A CNN-Powered Mobile Application for Nepalese Flora—0
Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 ChallengeCode0
Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments—0
A Physics-preserved Transfer Learning Method for Differential Equations—0
GENMO: A GENeralist Model for Human MOtion—0
A Computational Model of Inclusive Pedagogy: From Understanding to Application—0
A Robust Deep Networks based Multi-Object MultiCamera Tracking System for City Scale Traffic—0
Explorative Curriculum Learning for Strongly Correlated Electron Systems—0
Uncertainty-Aware Multi-Expert Knowledge Distillation for Imbalanced Disease Grading—0
AI-Assisted Decision-Making for Clinical Assessment of Auto-Segmented Contour Quality—0
Camouflaged Variational Graph AutoEncoder against Attribute Inference Attacks for Cross-Domain Recommendation—0
CAE-DFKD: Bridging the Transferability Gap in Data-Free Knowledge Distillation—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