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 6951–7000 of 10307 papers

TitleStatusHype
Data-Free Model ExtractionCode1
Feature Learning in Infinite-Width Neural NetworksCode2
DRDr II: Detecting the Severity Level of Diabetic Retinopathy Using Mask RCNN and Transfer Learning—0
What is a meaningful representation of protein sequences?Code1
Adaptable Automation with Modular Deep Reinforcement Learning and Policy Transfer—0
An Improved Transfer Model: Randomized Transferable Machine—0
Physics-Informed Neural Network for Modelling the Thermochemical Curing Process of Composite-Tool Systems During ManufactureCode1
Knowledge transfer across cell lines using Hybrid Gaussian Process models with entity embedding vectorsCode0
Learning Relation Prototype from Unlabeled Texts for Long-tail Relation ExtractionCode1
Autonomous learning of multiple, context-dependent tasks—0
Multi-objective Neural Architecture Search with Almost No Training—0
Early Life Cycle Software Defect Prediction. Why? How?Code0
Data-Efficient Classification of Radio GalaxiesCode0
SSDL: Self-Supervised Domain Learning for Improved Face Recognition—0
Predicting S&P500 Index direction with Transfer Learning and a Causal Graph as main Input—0
Unsupervised Word Translation Pairing using Refinement based Point Set Registration—0
Artificial Intelligence for COVID-19 Detection -- A state-of-the-art review—0
Grafit: Learning fine-grained image representations with coarse labels—0
Bootstrap an end-to-end ASR system by multilingual training, transfer learning, text-to-text mapping and synthetic audio—0
Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural ProcessesCode0
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation TransferCode1
Transfer Learning for Aided Target Recognition: Comparing Deep Learning to other Machine Learning Approaches—0
Separating and denoising seismic signals with dual-path recurrent neural network architecture—0
GLGE: A New General Language Generation Evaluation BenchmarkCode1
DADNN: Multi-Scene CTR Prediction via Domain-Aware Deep Neural Network—0
REPAINT: Knowledge Transfer in Deep Reinforcement Learning—0
DeepShadows: Separating Low Surface Brightness Galaxies from Artifacts using Deep LearningCode1
Experiments on transfer learning architectures for biomedical relation extraction—0
mForms : Multimodal Form-Filling with Question Answering—0
Making Graph Neural Networks Worth It for Low-Data Molecular Machine Learning—0
Discovering Hidden Physics Behind Transport Dynamics—0
Automatic Recognition of the Supraspinatus Tendinopathy from Ultrasound Images using Convolutional Neural Networks—0
Deep Learning for Automatic Quality Grading of Mangoes: Methods and Insights—0
Application of Facial Recognition using Convolutional Neural Networks for Entry Access ControlCode0
Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data SegmentationCode0
Ranking Neural Checkpoints—0
Transfer Learning for Oral Cancer Detection using Microscopic Images—0
Combining Deep Transfer Learning with Signal-image Encoding for Multi-Modal Mental Wellbeing Classification—0
Cost-effective Variational Active Entity Resolution—0
Efficient Conditional Pre-training for Transfer Learning—0
Interpretable and Transferable Models to Understand the Impact of Lockdown Measures on Local Air QualityCode0
Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation—0
Abnormal Event Detection in Urban Surveillance Videos Using GAN and Transfer Learning—0
Self-supervised transfer learning of physiological representations from free-living wearable dataCode1
Effectiveness of Arbitrary Transfer Sets for Data-free Knowledge Distillation—0
Master Thesis: Neural Sign Language Translation by Learning Tokenization—0
Continuous Emotion Recognition with Spatiotemporal Convolutional Neural Networks—0
Out-of-Task Training for Dialog State Tracking Models—0
A Multi-class Approach -- Building a Visual Classifier based on Textual Descriptions using Zero-Shot Learning—0
Deep learning models for gastric signet ring cell carcinoma classification in whole slide images—0
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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