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 9001–9050 of 10307 papers

TitleStatusHype
Ultrasound Image Representation Learning by Modeling Sonographer Visual Attention—0
Learning from Higher-Layer Feature Visualizations—0
Deep Transfer Learning for Multiple Class Novelty DetectionCode0
Defining Image Memorability using the Visual Memory Schema—0
PROPS: Probabilistic personalization of black-box sequence modelsCode0
Zero-Shot Task TransferCode0
Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus—0
Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis—0
Efficient Reinforcement Learning for StarCraft by Abstract Forward Models and Transfer LearningCode0
neuralRank: Searching and ranking ANN-based model repositories—0
A Unified Neural Architecture for Instrumental Audio TasksCode0
Optimal Projection Guided Transfer Hashing for Image RetrievalCode0
Active Transfer Learning for Persian Offline Signature Verification—0
Learning Representations from Persian Handwriting for Offline Signature Verification, a Deep Transfer Learning Approach—0
Machine-assisted annotation of forensic imagery—0
Meta Dynamic Pricing: Transfer Learning Across Experiments—0
Robust Authorship Verification with Transfer Learning—0
On Tiny Episodic Memories in Continual LearningCode1
FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer LearningCode0
An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language ModelsCode0
DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence FusionCode0
SuperTML: Two-Dimensional Word Embedding for the Precognition on Structured Tabular DataCode0
Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies?—0
Robust and Subject-Independent Driving Manoeuvre Anticipation through Domain-Adversarial Recurrent Neural NetworksCode0
Transfer Learning for Performance Modeling of Configurable Systems: A Causal AnalysisCode0
Bengali Handwritten Character Classification using Transfer Learning on Deep Convolutional Neural NetworkCode0
Transfer Learning for Sequences via Learning to Collocate—0
Transferability of Deep Learning Algorithms for Malignancy Detection in Confocal Laser Endomicroscopy Images from Different Anatomical Locations of the Upper Gastrointestinal Tract—0
Medical Multimodal Classifiers Under Scarce Data Condition—0
A visual encoding model based on deep neural networks and transfer learning—0
Transfer Learning for Non-Intrusive Load MonitoringCode0
Pretrained language model transfer on neural named entity recognition in Indonesian conversational texts—0
A new Potential-Based Reward Shaping for Reinforcement Learning Agent—0
LapEPI-Net: A Laplacian Pyramid EPI structure for Learning-based Dense Light Field Reconstruction—0
Combination of Domain Knowledge and Deep Learning for Sentiment Analysis of Short and Informal Messages on Social Media—0
Transfusion: Understanding Transfer Learning for Medical ImagingCode0
Transfer Learning for Sequence Labeling Using Source Model and Target Data—0
Predicting US State-Level Agricultural Sentiment as a Measure of Food Security with Tweets from Farming Communities—0
Improving performance and inference on audio classification tasks using capsule networks—0
Machine Learning on Biomedical Images: Interactive Learning, Transfer Learning, Class Imbalance, and Beyond—0
Predicting Food Security Outcomes Using Convolutional Neural Networks (CNNs) for Satellite Tasking—0
Federated Machine Learning: Concept and ApplicationsCode0
Learning to see across Domains and Modalities—0
PAC-Bayes Analysis of Sentence Representation—0
Towards Automatic Lesion Classification in the Upper Aerodigestive Tract Using OCT and Deep Transfer Learning Methods—0
OrthographicNet: A Deep Transfer Learning Approach for 3D Object Recognition in Open-Ended DomainsCode0
Size Independent Neural Transfer for RDDL Planning—0
A Simple Baseline for Bayesian Uncertainty in Deep LearningCode1
The Actor-Advisor: Policy Gradient With Off-Policy Advice—0
Transfer Learning From Sound Representations For Anger Detection in Speech—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