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 8551–8600 of 10307 papers

TitleStatusHype
Transfer Alignment Network for Double Blind Unsupervised Domain Adaptation—0
Efficiently Reusing Old Models Across Languages via Transfer Learning—0
Pretraining boosts out-of-domain robustness for pose estimation—0
Model-Based and Data-Driven Strategies in Medical Image Computing—0
How to improve CNN-based 6-DoF camera pose estimation—0
Hydrocephalus verification on brain magnetic resonance images with deep convolutional neural networks and "transfer learning" technique—0
MaLTESE: Large-Scale Simulation-Driven Machine Learning for Transient Driving Cycles—0
Learning Universal Graph Neural Network Embeddings With Aid Of Transfer LearningCode0
Cross-lingual Dependency Parsing with Unlabeled Auxiliary LanguagesCode0
Deep 3D-Zoom Net: Unsupervised Learning of Photo-Realistic 3D-Zoom—0
A Transfer Learning Approach for Automated Segmentation of Prostate Whole Gland and Transition Zone in Diffusion Weighted MRI—0
Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages—0
Timage -- A Robust Time Series Classification PipelineCode0
Transfer Learning using CNN for Handwritten Devanagari Character Recognition—0
Transfer Learning with Dynamic Adversarial Adaptation Network—0
Transferable Feature Representation for Visible-to-Infrared Cross-Dataset Human Action Recognition—0
Automated detection of oral pre-cancerous tongue lesions using deep learning for early diagnosis of oral cavity cancer—0
Text Length Adaptation in Sentiment ClassificationCode0
Cycle-consistent Conditional Adversarial Transfer NetworksCode0
Adversarial Feature Training for Generalizable Robotic Visuomotor Control—0
Data-Efficient Classification of Birdcall Through Convolutional Neural Networks Transfer LearningCode0
Transfer Learning with Dynamic Distribution Adaptation—0
Transfer learning for Remaining Useful Life Prediction Based on Consensus Self-Organizing Models—0
MFCC-based Recurrent Neural Network for Automatic Clinical Depression Recognition and Assessment from Speech—0
Zero-shot Reading Comprehension by Cross-lingual Transfer Learning with Multi-lingual Language Representation Model—0
musicnn: Pre-trained convolutional neural networks for music audio taggingCode0
Not again! Data Leakage in Digital Pathology—0
A Universal Parent Model for Low-Resource Neural Machine Translation Transfer—0
Multi-view and Multi-source Transfers in Neural Topic Modeling with Pretrained Topic and Word Embeddings—0
A Gated Self-attention Memory Network for Answer SelectionCode0
A Knowledge Transfer Framework for Differentially Private Sparse Learning—0
Semantic and Visual Similarities for Efficient Knowledge Transfer in CNN Training—0
Spectrum Sensing Based on Deep Learning Classification for Cognitive Radios—0
Effective training of deep convolutional neural networks for hyperspectral image classification through artificial labeling—0
Differentially Private Meta-Learning—0
Frustratingly Easy Natural Question Answering—0
Estimating encoding models of cortical auditory processing using naturalistic stimuli and transfer learningCode0
Semi-supervised Vector-valued Learning: Improved Bounds and AlgorithmsCode0
From English to Code-Switching: Transfer Learning with Strong Morphological CluesCode0
Automated Blood Cell Detection and Counting via Deep Learning for Microfluidic Point-of-Care Medical Devices—0
Functional Annotation of Human Cognitive States using Graph Convolution Networks—0
Knowledge Transfer Graph for Deep Collaborative LearningCode0
Swapped Face Detection using Deep Learning and Subjective Assessment—0
Transfer of Temporal Logic Formulas in Reinforcement Learning—0
The Mapillary Traffic Sign Dataset for Detection and Classification on a Global Scale—0
What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis—0
Transfer Reward Learning for Policy Gradient-Based Text Generation—0
Reverse Transfer Learning: Can Word Embeddings Trained for Different NLP Tasks Improve Neural Language Models?—0
Extreme Low Resolution Activity Recognition with Confident Spatial-Temporal Attention Transfer—0
Transfer Learning Robustness in Multi-Class Categorization by Fine-Tuning Pre-Trained Contextualized Language ModelsCode0
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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