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 6601–6650 of 10307 papers

TitleStatusHype
Transfer Learning with Convolutional Neural Networks for Rainfall Detection in Single ImagesCode0
Generalized and Transferable Patient Language Representation for Phenotyping with Limited Data—0
Transfer of Fully Convolutional Policy-Value Networks Between Games and Game Variants—0
"Train one, Classify one, Teach one" -- Cross-surgery transfer learning for surgical step recognition—0
A microservice-based framework for exploring data selection in cross-building knowledge transfer—0
Comparative evaluation of CNN architectures for Image Caption GenerationCode0
A Novel Deep Learning Method for Textual Sentiment Analysis—0
Classification of Breast Cancer Lesions in Ultrasound Images by using Attention Layer and loss Ensembles in Deep Convolutional Neural Networks—0
V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software VulnerabilitiesCode1
RUBERT: A Bilingual Roman Urdu BERT Using Cross Lingual Transfer Learning—0
ReINTEL Challenge 2020: Exploiting Transfer Learning Models for Reliable Intelligence Identification on Vietnamese Social Network Sites—0
Bilingual Language Modeling, A transfer learning technique for Roman Urdu—0
LogME: Practical Assessment of Pre-trained Models for Transfer LearningCode1
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised LearningCode1
Tchebichef Transform Domain-based Deep Learning Architecture for Image Super-resolution—0
Versatile and Robust Transient Stability Assessment via Instance Transfer Learning—0
Exploring Knowledge Distillation of a Deep Neural Network for Multi-Script identification—0
Intrinsically Motivated Open-Ended Multi-Task Learning Using Transfer Learning to Discover Task HierarchyCode0
An Empirical Study on Measuring the Similarity of Sentential Arguments with Language Model Domain Adaptation—0
Fortify Machine Learning Production Systems: Detect and Classify Adversarial Attacks—0
Meta-Transfer Learning for Low-Resource Abstractive SummarizationCode1
Transfer Learning for Linear Regression: a Statistical Test of Gain—0
Ensemble Transfer Learning of Elastography and B-mode Breast Ultrasound Images—0
Geostatistical Learning: Challenges and OpportunitiesCode0
Learning Visual Models using a Knowledge Graph as a Trainer—0
End-to-end lyrics Recognition with Voice to Singing Style TransferCode1
Boosting Deep Transfer Learning for COVID-19 Classification—0
Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies—0
FEWS: Large-Scale, Low-Shot Word Sense Disambiguation with the Dictionary—0
Instance Localization for Self-supervised Detection PretrainingCode1
Improving speech recognition models with small samples for air traffic control systems—0
Identifying Misinformation from Website Screenshots—0
Fast End-to-End Speech Recognition via Non-Autoregressive Models and Cross-Modal Knowledge Transferring from BERT—0
Zero-Shot Self-Supervised Learning for MRI ReconstructionCode1
Transfer Learning for Future Wireless Networks: A Comprehensive Survey—0
indicnlp@ kgp at DravidianLangTech-EACL2021: Offensive Language Identification in Dravidian LanguagesCode0
Self Regulated Learning Mechanism for Data Efficient Knowledge Distillation—0
indicnlp@kgp at DravidianLangTech-EACL2021: Offensive Language Identification in Dravidian LanguagesCode0
Transformer-Based Approaches for Automatic Music TranscriptionCode0
Learning Student-Friendly Teacher Networks for Knowledge Distillation—0
Efficient Conditional GAN Transfer with Knowledge Propagation across ClassesCode1
Emoji-Based Transfer Learning for Sentiment TasksCode0
Real-Time Topology Optimization in 3D via Deep Transfer LearningCode0
COVID-19 detection from scarce chest x-ray image data using few-shot deep learning approachCode1
Cross-Domain Multi-Task Learning for Sequential Sentence Classification in Research PapersCode1
Multi-Task Reinforcement Learning with Context-based RepresentationsCode1
Anomaly Detection through Transfer Learning in Agriculture and Manufacturing IoT Systems—0
Concept drift-tolerant transfer learning in dynamic environments.—0
Customizing Contextualized Language Models forLegal Document Reviews—0
Conditional Loss and Deep Euler Scheme for Time Series Generation—0
Show:102550
← PrevPage 133 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