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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2501–2550 of 10307 papers

TitleStatusHype
FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning—0
Local transfer learning Gaussian process modeling, with applications to surrogate modeling of expensive computer simulators—0
iFuzzyTL: Interpretable Fuzzy Transfer Learning for SSVEP BCI System—0
Transfer Learning on Multi-Dimensional Data: A Novel Approach to Neural Network-Based Surrogate Modeling—0
TAS: Distilling Arbitrary Teacher and Student via a Hybrid Assistant—0
Tracking Universal Features Through Fine-Tuning and Model Merging—0
Exploring transfer learning for Deep NLP systems on rarely annotated languages—0
Transfer Learning Adapts to Changing PSD in Gravitational Wave Data—0
YOLO-ELA: Efficient Local Attention Modeling for High-Performance Real-Time Insulator Defect Detection—0
Transfer Learning with Foundational Models for Time Series Forecasting using Low-Rank Adaptations—0
Learning to rumble: Automated elephant call classification, detection and endpointing using deep architectures—0
Improving Bias in Facial Attribute Classification: A Combined Impact of KL Divergence induced Loss Function and Dual Attention—0
Xeno-learning: knowledge transfer across species in deep learning-based spectral image analysis—0
A Survey on Deep Tabular Learning—0
EEGPT: Unleashing the Potential of EEG Generalist Foundation Model by Autoregressive Pre-training—0
Model-based Large Language Model Customization as Service—0
SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without Positive Samples—0
Cross-Modal Few-Shot Learning: a Generative Transfer Learning Framework—0
TL-PCA: Transfer Learning of Principal Component Analysis—0
MoTE: Reconciling Generalization with Specialization for Visual-Language to Video Knowledge TransferCode0
Magnituder Layers for Implicit Neural Representations in 3D—0
Hey AI Can You Grade My Essay?: Automatic Essay Grading—0
Deep Transfer Learning: Model Framework and Error Analysis—0
Unity is Power: Semi-Asynchronous Collaborative Training of Large-Scale Models with Structured Pruning in Resource-Limited Clients—0
Meta-Transfer Learning Empowered Temporal Graph Networks for Cross-City Real Estate Appraisal—0
Features are fate: a theory of transfer learning in high-dimensional regression—0
CL3: A Collaborative Learning Framework for the Medical Data Ensuring Data Privacy in the Hyperconnected EnvironmentCode0
More Experts Than Galaxies: Conditionally-overlapping Experts With Biologically-Inspired Fixed RoutingCode0
Unsupervised Data Validation Methods for Efficient Model Training—0
Federated Graph Learning for Cross-Domain Recommendation—0
Non-transferable Pruning—0
Robustness and Security Enhancement of Radio Frequency Fingerprint Identification in Time-Varying Channels—0
What is Left After Distillation? How Knowledge Transfer Impacts Fairness and Bias—0
On The Relationship between Visual Anomaly-free and Anomalous Representations—0
Z-upscaling: Optical Flow Guided Frame Interpolation for Isotropic Reconstruction of 3D EM VolumesCode0
Collusion Detection with Graph Neural Networks—0
Transfer Learning for a Class of Cascade Dynamical Systems—0
Selecting the Best Sequential Transfer Path for Medical Image Segmentation with Limited Labeled DataCode0
Seg2Act: Global Context-aware Action Generation for Document Logical StructuringCode0
Utilizing Transfer Learning and pre-trained Models for Effective Forest Fire Detection: A Case Study of Uttarakhand—0
rECGnition_v1.0: Arrhythmia detection using cardiologist-inspired multi-modal architecture incorporating demographic attributes in ECG—0
Generating Synthetic Datasets for Few-shot Prompt Tuning—0
Advancements in Road Lane Mapping: Comparative Fine-Tuning Analysis of Deep Learning-based Semantic Segmentation Methods Using Aerial Imagery—0
Bridging Modalities: Enhancing Cross-Modality Hate Speech Detection with Few-Shot In-Context Learning—0
ModalPrompt:Dual-Modality Guided Prompt for Continual Learning of Large Multimodal Models—0
Robust Transfer Learning for Active Level Set Estimation with Locally Adaptive Gaussian Process Prior—0
Hyper Adversarial Tuning for Boosting Adversarial Robustness of Pretrained Large Vision Models—0
Pre-Ictal Seizure Prediction Using Personalized Deep Learning—0
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data—0
Deep learning-based Visual Measurement Extraction within an Adaptive Digital Twin Framework from Limited Data Using Transfer Learning—0
Show:102550
← PrevPage 51 of 207Next →
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