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 7301–7350 of 10307 papers

TitleStatusHype
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less DataCode1
Densely Guided Knowledge Distillation using Multiple Teacher AssistantsCode1
Face Mask Detection using Transfer Learning of InceptionV3—0
A Convolutional LSTM based Residual Network for Deepfake Video DetectionCode1
Transfer Learning in Deep Reinforcement Learning: A Survey—0
Automated Source Code Generation and Auto-completion Using Deep Learning: Comparing and Discussing Current Language-Model-Related ApproachesCode0
Measuring Information Transfer in Neural Networks—0
Collaborative Group Learning—0
A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning ProcessesCode1
Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network—0
Critical Thinking for Language ModelsCode1
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
Transfer Learning of Graph Neural Networks with Ego-graph Information MaximizationCode1
Transfer Graph Neural Networks for Pandemic ForecastingCode1
Multi-Hop Fact Checking of Political ClaimsCode0
Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks against Transfer Learning—0
Learning Shape Features and Abstractions in 3D Convolutional Neural Networks for Detecting Alzheimer's Disease—0
SWP-LeafNET: A novel multistage approach for plant leaf identification based on deep CNN—0
Diversified Mutual Learning for Deep Metric Learning—0
Anonymization of labeled TOF-MRA images for brain vessel segmentation using generative adversarial networksCode1
Real-time Plant Health Assessment Via Implementing Cloud-based Scalable Transfer Learning On AWS DeepLens—0
kk2018 at SemEval-2020 Task 9: Adversarial Training for Code-Mixing Sentiment Classification—0
Machine Intelligence for Outcome Predictions of Trauma Patients During Emergency Department Care—0
Volatility Forecasting with 1-dimensional CNNs via transfer learning—0
A novel action recognition system for smart monitoring of elderly people using Action Pattern Image and Series CNN with transfer learning—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
QiaoNing at SemEval-2020 Task 4: Commonsense Validation and Explanation system based on ensemble of language model—0
A Generative Adversarial Approach To ECG Synthesis And DenoisingCode0
BANANA at WNUT-2020 Task 2: Identifying COVID-19 Information on Twitter by Combining Deep Learning and Transfer Learning Models—0
Automatic Dialect Adaptation in Finnish and its Effect on Perceived CreativityCode1
Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CTCode1
GPU-based Self-Organizing Maps for Post-Labeled Few-Shot Unsupervised LearningCode1
A Comprehensive Analysis of Information Leakage in Deep Transfer Learning—0
A New Multiple Source Domain Adaptation Fault Diagnosis Method between Different Rotating Machines—0
A general approach to bridge the reality-gap—0
Large Dimensional Analysis and Improvement of Multi Task Learning—0
Transfer learning for nonlinear dynamics and its application to fluid turbulence—0
AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learningCode1
Problems in AI research and how the SP System may help to solve them—0
A Survey on Negative TransferCode1
Comparative Evaluation of Pretrained Transfer Learning Models on Automatic Short Answer GradingCode1
Breast mass detection in digital mammography based on anchor-free architecture—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