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 2351–2400 of 10307 papers

TitleStatusHype
Deep Learning Models to Automate the Scoring of Hand Radiographs for Rheumatoid Arthritis—0
Boosting Deep Transfer Learning for COVID-19 Classification—0
Boosting Deep Face Recognition via Disentangling Appearance and Geometry—0
An Explainable Deep Learning Framework for Brain Stroke and Tumor Progression via MRI Interpretation—0
Transfer or Self-Supervised? Bridging the Performance Gap in Medical Imaging—0
Boosting Convolutional Neural Networks' Protein Binding Site Prediction Capacity Using SE(3)-invariant transformers, Transfer Learning and Homology-based Augmentation—0
A Diagnostic Model for Acute Lymphoblastic Leukemia Using Metaheuristics and Deep Learning Methods—0
A Computer Vision Approach to Combat Lyme Disease—0
Boosting Automatic COVID-19 Detection Performance with Self-Supervised Learning and Batch Knowledge Ensembling—0
Boosted Zero-Shot Learning with Semantic Correlation Regularization—0
A new semi-supervised inductive transfer learning framework: Co-Transfer—0
A new Potential-Based Reward Shaping for Reinforcement Learning Agent—0
Deep Learning Models for Classification of COVID-19 Cases by Medical Images—0
Deep Learning Model Transfer in Forest Mapping using Multi-source Satellite SAR and Optical Images—0
Deep learning segmentation of fibrous cap in intravascular optical coherence tomography images—0
Deep Multilabel CNN for Forensic Footwear Impression Descriptor Identification—0
Deep representation of EEG data from Spatio-Spectral Feature Images—0
Deep Transfer Learning with Joint Adaptation Networks—0
Bone Marrow Cytomorphology Cell Detection using InceptionResNetV2—0
A New Perspective on Smiling and Laughter Detection: Intensity Levels Matter—0
A Deep Value-network Based Approach for Multi-Driver Order Dispatching—0
Bombus Species Image Classification—0
BNS: Building Network Structures Dynamically for Continual Learning—0
A New Multiple Source Domain Adaptation Fault Diagnosis Method between Different Rotating Machines—0
Deep Learning for Radio Resource Allocation with Diverse Quality-of-Service Requirements in 5G—0
BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning—0
Block Toeplitz Sparse Precision Matrix Estimation for Large-Scale Interval-Valued Time Series Forecasting—0
A new method using deep transfer learning on ECG to predict the response to cardiac resynchronization therapy—0
Blockchain as an Enabler for Transfer Learning in Smart Environments—0
A New Method for Vehicle Logo Recognition Based on Swin Transformer—0
A Deep Transfer Learning Method for Cross-Lingual Natural Language Inference—0
A Computer Vision Application for Assessing Facial Acne Severity from Selfie Images—0
Deep Learning for Screening COVID-19 using Chest X-Ray Images—0
A New Mask R-CNN Based Method for Improved Landslide Detection—0
A Big Data-empowered System for Real-time Detection of Regional Discriminatory Comments on Vietnamese Social Media—0
Blessing of Class Diversity in Pre-training—0
A New Large Scale Dynamic Texture Dataset with Application to ConvNet Understanding—0
A Deep Transfer Learning-based Edge Computing Method for Home Health Monitoring—0
Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals—0
A Deep Reinforcement Learning Approach for Audio-based Navigation and Audio Source Localization in Multi-speaker Environments—0
Bit Cipher -- A Simple yet Powerful Word Representation System that Integrates Efficiently with Language Models—0
A New GAN-based End-to-End TTS Training Algorithm—0
A Computational Model of Inclusive Pedagogy: From Understanding to Application—0
Deep Learning for Over-the-Air Non-Orthogonal Signal Classification—0
A New Deep Boosted CNN and Ensemble Learning based IoT Malware Detection—0
A Computational Approach to Understand Mental Health from Reddit: Knowledge-aware Multitask Learning Framework—0
BIRD: Behavior Induction via Representation-structure Distillation—0
BIOWISH: Biometric Recognition using Wearable Inertial Sensors detecting Heart Activity—0
A Deep Q-Network for the Beer Game: A Deep Reinforcement Learning algorithm to Solve Inventory Optimization Problems—0
Deep Learning for Large-Scale Real-World ACARS and ADS-B Radio Signal Classification—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