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 7601–7650 of 10307 papers

TitleStatusHype
Data Instance Prior for Transfer Learning in GANs—0
Cross-Task Representation Learning for Anatomical Landmark Detection—0
Transfer among Agents: An Efficient Multiagent Transfer Learning Framework—0
Smart Irrigation IoT Solution using Transfer Learning for Neural Networks—0
Federated Transfer Learning: concept and applications—0
Generating Realistic COVID19 X-rays with a Mean Teacher + Transfer Learning GAN—0
Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning—0
Privacy-preserving Transfer Learning via Secure Maximum Mean Discrepancy—0
A Computer Vision Approach to Combat Lyme Disease—0
Automatic identification of fossils and abiotic grains during carbonate microfacies analysis using deep convolutional neural networksCode0
Transfer Learning by Cascaded Network to identify and classify lung nodules for cancer detection—0
Worst-Case-Aware Curriculum Learning for Zero and Few Shot TransferCode0
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19Code0
An Attention Mechanism with Multiple Knowledge Sources for COVID-19 Detection from CT Images—0
Classification of COVID-19 in CT Scans using Multi-Source Transfer LearningCode0
Generative Imagination Elevates Machine Translation—0
Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study—0
Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts—0
WESSA at SemEval-2020 Task 9: Code-Mixed Sentiment Analysis using Transformers—0
MARS: Mixed Virtual and Real Wearable Sensors for Human Activity Recognition with Multi-Domain Deep Learning Model—0
Open-Ended Fine-Grained 3D Object Categorization by Combining Shape and Texture Features in Multiple Colorspaces—0
Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect—0
Face Mask Detection using Transfer Learning of InceptionV3—0
Collaborative Group Learning—0
Measuring Information Transfer in Neural Networks—0
Automated Source Code Generation and Auto-completion Using Deep Learning: Comparing and Discussing Current Language-Model-Related ApproachesCode0
Transfer Learning in Deep Reinforcement Learning: A Survey—0
Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network—0
3D_DEN: Open-ended 3D Object Recognition using Dynamically Expandable NetworksCode0
Efficient multi-class fetal brain segmentation in high resolution MRI reconstructions with noisy labelsCode0
Adaptive Label Smoothing—0
Transfer learning with class-weighted and focal loss function for automatic skin cancer classification—0
Revisiting the Threat Space for Vision-based Keystroke Inference AttacksCode0
Deep Transfer Learning for Signal Detection in Ambient Backscatter Communications—0
A Comparison of LSTM and BERT for Small Corpus—0
PiaNet: A pyramid input augmented convolutional neural network for GGO detection in 3D lung CT scans—0
Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks against Transfer Learning—0
Multi-Hop Fact Checking of Political ClaimsCode0
SWP-LeafNET: A novel multistage approach for plant leaf identification based on deep CNN—0
Learning Shape Features and Abstractions in 3D Convolutional Neural Networks for Detecting Alzheimer's Disease—0
Real-time Plant Health Assessment Via Implementing Cloud-based Scalable Transfer Learning On AWS DeepLens—0
Diversified Mutual Learning for Deep Metric Learning—0
Machine Intelligence for Outcome Predictions of Trauma Patients During Emergency Department Care—0
kk2018 at SemEval-2020 Task 9: Adversarial Training for Code-Mixing Sentiment Classification—0
Data-Driven Transferred Energy Management Strategy for Hybrid Electric Vehicles via Deep Reinforcement Learning—0
Driving Tasks Transfer in Deep Reinforcement Learning for Decision-making of Autonomous Vehicles—0
A novel action recognition system for smart monitoring of elderly people using Action Pattern Image and Series CNN with transfer learning—0
Volatility Forecasting with 1-dimensional CNNs via transfer learning—0
BANANA at WNUT-2020 Task 2: Identifying COVID-19 Information on Twitter by Combining Deep Learning and Transfer Learning Models—0
QiaoNing at SemEval-2020 Task 4: Commonsense Validation and Explanation system based on ensemble of language model—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