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 4101–4150 of 10307 papers

TitleStatusHype
Deep Learning for Steganalysis of Diverse Data Types: A review of methods, taxonomy, challenges and future directions—0
Sparse Array Design for Direction Finding using Deep Learning—0
Weakly Semi-Supervised Detection in Lung Ultrasound Videos—0
Multiscale patch-based feature graphs for image classificationCode0
Transfer Learning with Partially Observable Offline Data via Causal Bounds—0
PMU measurements based short-term voltage stability assessment of power systems via deep transfer learning—0
On-ramp and Off-ramp Traffic Flows Estimation Based on A Data-driven Transfer Learning Framework—0
Segmentation Framework for Heat Loss Identification in Thermal Images: Empowering Scottish Retrofitting and Thermographic Survey Companies—0
A Transfer Learning Framework for Proactive Ramp Metering Performance Assessment—0
RoadScan: A Novel and Robust Transfer Learning Framework for Autonomous Pothole Detection in Roads—0
EventBind: Learning a Unified Representation to Bind Them All for Event-based Open-world Understanding—0
Self-Distillation Prototypes Network: Learning Robust Speaker Representations without Supervision—0
Surrogate Empowered Sim2Real Transfer of Deep Reinforcement Learning for ORC Superheat Control—0
Self-Normalizing Neural Network, Enabling One Shot Transfer Learning for Modeling EDFA Wavelength Dependent Gain—0
From Fake to Hyperpartisan News Detection Using Domain Adaptation—0
IndoHerb: Indonesia Medicinal Plants Recognition using Transfer Learning and Deep LearningCode0
Deep Maxout Network-based Feature Fusion and Political Tangent Search Optimizer enabled Transfer Learning for Thalassemia Detection—0
Deep Learning-based Prediction of Stress and Strain Maps in Arterial Walls for Improved Cardiovascular Risk Assessment—0
Curricular Transfer Learning for Sentence Encoded Tasks—0
A vision transformer-based framework for knowledge transfer from multi-modal to mono-modal lymphoma subtyping models—0
EEG-based Cognitive Load Classification using Feature Masked Autoencoding and Emotion Transfer Learning—0
Understanding Activation Patterns in Artificial Neural Networks by Exploring Stochastic Processes—0
Pixel to policy: DQN Encoders for within & cross-game reinforcement learning—0
Utilisation of open intent recognition models for customer support intent detection—0
Cardiac MRI Orientation Recognition and Standardization using Deep Neural NetworksCode0
Hybrid quantum transfer learning for crack image classification on NISQ hardware—0
Sampling to Distill: Knowledge Transfer from Open-World Data—0
Structural Transfer Learning in NL-to-Bash Semantic Parsers—0
UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness PredictionCode0
Stylized Projected GAN: A Novel Architecture for Fast and Realistic Image Generation—0
Gastrointestinal Mucosal Problems Classification with Deep Learning—0
Count, Decode and Fetch: A New Approach to Handwritten Chinese Character Error Correction—0
Dimensionless Policies based on the Buckingham π Theorem: Is This a Good Way to Generalize Numerical Results?Code0
Cross-dimensional transfer learning in medical image segmentation with deep learningCode0
Evaluating the structure of cognitive tasks with transfer learning—0
Point Clouds Are Specialized Images: A Knowledge Transfer Approach for 3D Understanding—0
Reinforcement Learning by Guided Safe Exploration—0
Towards Generalist Biomedical AI—0
Fluorescent Neuronal Cells v2: Multi-Task, Multi-Format Annotations for Deep Learning in Microscopy—0
FedMEKT: Distillation-based Embedding Knowledge Transfer for Multimodal Federated Learning—0
ChildGAN: Large Scale Synthetic Child Facial Data Using Domain Adaptation in StyleGAN—0
Spectral-DP: Differentially Private Deep Learning through Spectral Perturbation and Filtering—0
Re-mine, Learn and Reason: Exploring the Cross-modal Semantic Correlations for Language-guided HOI detection—0
Transfer Learning for Portfolio Optimization—0
Sparse annotation strategies for segmentation of short axis cardiac MRI—0
End-to-End Deep Transfer Learning for Calibration-free Motor Imagery Brain Computer Interfaces—0
NCART: Neural Classification and Regression Tree for Tabular Data—0
An X3D Neural Network Analysis for Runner's Performance Assessment in a Wild Sporting Environment—0
Identifying Misinformation on YouTube through Transcript Contextual Analysis with Transformer ModelsCode0
Pluvio: Assembly Clone Search for Out-of-domain Architectures and Libraries through Transfer Learning and Conditional Variational Information Bottleneck—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