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 7051–7100 of 10307 papers

TitleStatusHype
Exploring Knowledge Distillation of a Deep Neural Network for Multi-Script identification—0
Versatile and Robust Transient Stability Assessment via Instance Transfer Learning—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
Transfer Learning for Linear Regression: a Statistical Test of Gain—0
Geostatistical Learning: Challenges and OpportunitiesCode0
Ensemble Transfer Learning of Elastography and B-mode Breast Ultrasound Images—0
Learning Visual Models using a Knowledge Graph as a Trainer—0
Boosting Deep Transfer Learning for COVID-19 Classification—0
Improving speech recognition models with small samples for air traffic control systems—0
Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies—0
FEWS: Large-Scale, Low-Shot Word Sense Disambiguation with the Dictionary—0
Fast End-to-End Speech Recognition via Non-Autoregressive Models and Cross-Modal Knowledge Transferring from BERT—0
Identifying Misinformation from Website Screenshots—0
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
Learning Student-Friendly Teacher Networks for Knowledge Distillation—0
Emoji-Based Transfer Learning for Sentiment TasksCode0
Transformer-Based Approaches for Automatic Music TranscriptionCode0
Anomaly Detection through Transfer Learning in Agriculture and Manufacturing IoT Systems—0
Real-Time Topology Optimization in 3D via Deep Transfer LearningCode0
Partial transfusion: on the expressive influence of trainable batch norm parameters for transfer learningCode0
Conditional Loss and Deep Euler Scheme for Time Series Generation—0
Boosting Template-based SSVEP Decoding by Cross-domain Transfer Learning—0
Concept drift-tolerant transfer learning in dynamic environments.—0
Customizing Contextualized Language Models forLegal Document Reviews—0
Voice Cloning: a Multi-Speaker Text-to-Speech Synthesis Approach based on Transfer Learning—0
Transfer Learning Approach for Arabic Offensive Language Detection System -- BERT-Based Model—0
Deep Multilabel CNN for Forensic Footwear Impression Descriptor Identification—0
MetaTune: Meta-Learning Based Cost Model for Fast and Efficient Auto-tuning Frameworks—0
Overhead MNIST: A Benchmark Satellite Dataset—0
Rapid Classification of Glaucomatous Fundus Images—0
Improving filling level classification with adversarial training—0
Common Spatial Generative Adversarial Networks based EEG Data Augmentation for Cross-Subject Brain-Computer Interface—0
Damage detection using in-domain and cross-domain transfer learning—0
MSPM: A Modularized and Scalable Multi-Agent Reinforcement Learning-based System for Financial Portfolio Management—0
A bandit approach to curriculum generation for automatic speech recognition—0
Unsupervised Audio-Visual Subspace Alignment for High-Stakes Deception Detection—0
Transfer Learning in Bandits with Latent Continuity—0
Introduction to Neural Transfer Learning with Transformers for Social Science Text Analysis—0
Deep CNNs for large scale species classification—0
Detecting Bias in Transfer Learning Approaches for Text Classification—0
Data Generation Using Pass-phrase-dependent Deep Auto-encoders for Text-Dependent Speaker Verification—0
Scaling Laws for Transfer—0
A Novel Transfer Learning-Based Approach for Screening Pre-existing Heart Diseases Using Synchronized ECG Signals and Heart Sounds—0
Recurrent Neural Network for MoonBoard Climbing Route Classification and Generation—0
Real-time detection of uncalibrated sensors using Neural Networks—0
Show:102550
← PrevPage 142 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