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 2101–2150 of 10307 papers

TitleStatusHype
A Novel Transfer Learning Method Utilizing Acoustic and Vibration Signals for Rotating Machinery Fault Diagnosis—0
DADIN: Domain Adversarial Deep Interest Network for Cross Domain Recommender Systems—0
CATrans: Context and Affinity Transformer for Few-Shot Segmentation—0
Adversarial Transfer Learning for Cross-domain Visual Recognition—0
A novel transfer learning method based on common space mapping and weighted domain matching—0
CAT: Caution Aware Transfer in Reinforcement Learning via Distributional Risk—0
A Novel Transfer Learning-Based Approach for Screening Pre-existing Heart Diseases Using Synchronized ECG Signals and Heart Sounds—0
A CT Image Classification Network Framework for Lung Tumors Based on Pre-trained MobileNetV2 Model and Transfer learning, And Its Application and Market Analysis in the Medical field—0
Accelerated and Inexpensive Machine Learning for Manufacturing Processes with Incomplete Mechanistic Knowledge—0
DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation—0
Cataloging Accreted Stars within Gaia DR2 using Deep Learning—0
Cashew dataset generation using augmentation and RaLSGAN and a transfer learning based tinyML approach towards disease detection—0
A Novel Transfer Learning Approach upon Hindi, Arabic, and Bangla Numerals using Convolutional Neural Networks—0
Case Study of Model Adaptation: Transfer Learning and Online Learning—0
SMRS: advocating a unified reporting standard for surrogate models in the artificial intelligence era—0
A Novel Spike Transformer Network for Depth Estimation from Event Cameras via Cross-modality Knowledge Distillation—0
Advancing Roadway Sign Detection with YOLO Models and Transfer Learning—0
A Novel Semi-supervised Meta Learning Method for Subject-transfer Brain-computer Interface—0
ActiLabel: A Combinatorial Transfer Learning Framework for Activity Recognition—0
A Novel Neural Network Training Method for Autonomous Driving Using Semi-Pseudo-Labels and 3D Data Augmentations—0
Advancing Personalized Federated Learning: Integrative Approaches with AI for Enhanced Privacy and Customization—0
DACB-Net: Dual Attention Guided Compact Bilinear Convolution Neural Network for Skin Disease Classification—0
DA-DETR: Domain Adaptive Detection Transformer with Information Fusion—0
GDA-HIN: A Generalized Domain Adaptive Model across Heterogeneous Information Networks—0
A Novel Method For Designing Transferable Soft Sensors And Its Application—0
CyFormer: Accurate State-of-Health Prediction of Lithium-Ion Batteries via Cyclic Attention—0
Cardiac Segmentation using Transfer Learning under Respiratory Motion Artifacts—0
A Novel Method for Accurate & Real-time Food Classification: The Synergistic Integration of EfficientNetB7, CBAM, Transfer Learning, and Data Augmentation—0
Acted vs. Improvised: Domain Adaptation for Elicitation Approaches in Audio-Visual Emotion Recognition—0
CarbNN: A Novel Active Transfer Learning Neural Network To Build De Novo Metal Organic Frameworks (MOFs) for Carbon Capture—0
A Novel Implementation of Machine Learning for the Efficient, Explainable Diagnosis of COVID-19 from Chest CT—0
Advancing machine fault diagnosis: A detailed examination of convolutional neural networks—0
Capturing Local and Global Features in Medical Images by Using Ensemble CNN-Transformer—0
Capsule networks for low-data transfer learning—0
A Novel GDP Prediction Technique based on Transfer Learning using CO2 Emission Dataset—0
Cross-Modal Distillation for RGB-Depth Person Re-Identification—0
D3T-GAN: Data-Dependent Domain Transfer GANs for Few-shot Image Generation—0
Developing a Novel Holistic, Personalized Dementia Risk Prediction Model via Integration of Machine Learning and Network Systems Biology Approaches—0
Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot Instructions—0
A novel machine learning based framework for detection of Autism Spectrum Disorder (ASD)—0
Can We Trust LLMs? Mitigate Overconfidence Bias in LLMs through Knowledge Transfer—0
A novel Facial Recognition technique with Focusing on Masked Faces—0
Advancing Extrapolative Predictions of Material Properties through Learning to Learn—0
A Cantor-Kantorovich Metric Between Markov Decision Processes with Application to Transfer Learning—0
A Novel Ensemble-Based Deep Learning Model with Explainable AI for Accurate Kidney Disease Diagnosis—0
Cantonese Automatic Speech Recognition Using Transfer Learning from Mandarin—0
A Novel DNN Training Framework via Data Sampling and Multi-Task Optimization—0
Can Students Outperform Teachers in Knowledge Distillation based Model Compression?—0
Can Semantic Labels Assist Self-Supervised Visual Representation Learning?—0
Advancing Efficient Brain Tumor Multi-Class Classification -- New Insights from the Vision Mamba Model in Transfer 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