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 4001–4050 of 10307 papers

TitleStatusHype
Novel transfer learning schemes based on Siamese networks and synthetic dataCode0
Unveiling the Tapestry: the Interplay of Generalization and Forgetting in Continual Learning—0
Towards continually learning new languages—0
Federated deep transfer learning for EEG decoding using multiple BCI tasks—0
Mask Off: Analytic-based Malware Detection By Transfer Learning and Model Personalization—0
Font Representation Learning via Paired-glyph MatchingCode1
Frozen Overparameterization: A Double Descent Perspective on Transfer Learning of Deep Neural Networks—0
A Comparative Analysis of Transfer Learning-based Techniques for the Classification of Melanocytic Nevi—0
A privacy-preserving data storage and service framework based on deep learning and blockchain for construction workers' wearable IoT sensors—0
Real-World Image Super Resolution via Unsupervised Bi-directional Cycle Domain Transfer Learning based Generative Adversarial Network—0
Impact of visual assistance for automated audio captioning—0
Task Residual for Tuning Vision-Language ModelsCode1
Brain informed transfer learning for categorizing construction hazards—0
CoLI-Machine Learning Approaches for Code-mixed Language Identification at the Word Level in Kannada-English Texts—0
Transfer learning for tensor Gaussian graphical models—0
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine—0
Targeted Attention for Generalized- and Zero-Shot Learning—0
Indoor Positioning via Gradient Boosting Enhanced with Feature Augmentation using Deep Learning—0
SVD-PINNs: Transfer Learning of Physics-Informed Neural Networks via Singular Value Decomposition—0
AdaTriplet-RA: Domain Matching via Adaptive Triplet and Reinforced Attention for Unsupervised Domain AdaptationCode0
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision ResearchCode1
A Point in the Right Direction: Vector Prediction for Spatially-aware Self-supervised Volumetric Representation Learning—0
SexWEs: Domain-Aware Word Embeddings via Cross-lingual Semantic Specialisation for Chinese Sexism Detection in Social MediaCode0
FedTune: A Deep Dive into Efficient Federated Fine-Tuning with Pre-trained Transformers—0
Explainable Action Advising for Multi-Agent Reinforcement LearningCode0
DIGEST: Deeply supervIsed knowledGE tranSfer neTwork learning for brain tumor segmentation with incomplete multi-modal MRI scans—0
Using Human Perception to Regularize Transfer Learning—0
Improving ECG-based COVID-19 diagnosis and mortality predictions using pre-pandemic medical records at population-scale—0
Renewing Iterative Self-labeling Domain Adaptation with Application to the Spine Motion Prediction—0
Federated Learning for Autoencoder-based Condition Monitoring in the Industrial Internet of Things—0
Feature Correlation-guided Knowledge Transfer for Federated Self-supervised Learning—0
Meta-Learning of Neural State-Space Models Using Data From Similar Systems—0
Findings of the Covid-19 MLIA Machine Translation Task—0
Towards A Unified Conformer Structure: from ASR to ASV TaskCode2
QueryForm: A Simple Zero-shot Form Entity Query Framework—0
Hypothesis Transfer in Bandits by Weighted Models—0
EVA: Exploring the Limits of Masked Visual Representation Learning at ScaleCode0
Recognition of Cardiac MRI Orientation via Deep Neural Networks and a Method to Improve Prediction Accuracy—0
Seeded iterative clustering for histology region identificationCode0
Sign Language to Text Conversion in Real Time using Transfer Learning—0
Pit-Pattern Classification of Colorectal Cancer Polyps Using a Hyper Sensitive Vision-Based Tactile Sensor and Dilated Residual Networks—0
Early Diagnosis of Chronic Obstructive Pulmonary Disease from Chest X-Rays using Transfer Learning and Fusion Strategies—0
LLEDA -- Lifelong Self-Supervised Domain Adaptation—0
Integrating Transformer and Autoencoder Techniques with Spectral Graph Algorithms for the Prediction of Scarcely Labeled Molecular DataCode0
Improving Deep Facial Phenotyping for Ultra-rare Disorder Verification Using Model EnsemblesCode1
Palm Vein Recognition via Multi-task Loss Function and Attention Layer—0
Assistive Completion of Agrammatic Aphasic Sentences: A Transfer Learning Approach using Neurolinguistics-based Synthetic Dataset—0
Warmup and Transfer Knowledge-Based Federated Learning Approach for IoT Continuous Authentication—0
Combination of multiple neural networks using transfer learning and extensive geometric data augmentation for assessing cellularity scores in histopathology images—0
Framework Construction of an Adversarial Federated Transfer Learning Classifier—0
Show:102550
← PrevPage 81 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