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 7251–7300 of 10307 papers

TitleStatusHype
DeezyMatch: A Flexible Deep Learning Approach to Fuzzy String MatchingCode1
Using Unlabeled Data for Increasing Low-Shot Classification Accuracy of Relevant and Open-Set Irrelevant Images—0
WeChat Neural Machine Translation Systems for WMT20—0
Utilizing Transfer Learning and a Customized Loss Function for Optic Disc Segmentation from Retinal Images—0
Deep learning for time series classificationCode2
On Romanization for Model Transfer Between Scripts in Neural Machine Translation—0
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks—0
Transfer Learning from Monolingual ASR to Transcription-free Cross-lingual Voice ConversionCode1
Training general representations for remote sensing using in-domain knowledge—0
Ensembles of Convolutional Neural Networks models for pediatric pneumonia diagnosis—0
Improving Device Directedness Classification of Utterances with Semantic Lexical Features—0
MetaMix: Improved Meta-Learning with Interpolation-based Consistency Regularization—0
Self-grouping Convolutional Neural NetworksCode1
The design and implementation of Language Learning Chatbot with XAI using Ontology and Transfer Learning—0
Transfer among Agents: An Efficient Multiagent Transfer Learning Framework—0
Data Instance Prior for Transfer Learning in GANs—0
REPAINT: Knowledge Transfer in Deep Actor-Critic Reinforcement Learning—0
Sim2SG: Sim-to-Real Scene Graph Generation for Transfer Learning—0
Model Selection for Cross-Lingual Transfer using a Learned Scoring Function—0
Does Adversarial Transferability Indicate Knowledge Transferability?—0
Model-Agnostic Round-Optimal Federated Learning via Knowledge Transfer—0
Cross-Task Representation Learning for Anatomical Landmark Detection—0
Medical Image Segmentation Using Deep Learning: A SurveyCode0
High-throughput molecular imaging via deep learning enabled Raman spectroscopyCode1
Scalable Transfer Learning with Expert Models—0
Accelerating Multi-Model Inference by Merging DNNs of Different Weights—0
Sense and Learn: Self-Supervision for Omnipresent Sensors—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
MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue SystemsCode1
Automatic identification of fossils and abiotic grains during carbonate microfacies analysis using deep convolutional neural networksCode0
A Computer Vision Approach to Combat Lyme Disease—0
Privacy-preserving Transfer Learning via Secure Maximum Mean Discrepancy—0
Transfer Learning by Cascaded Network to identify and classify lung nodules for cancer detection—0
Unsupervised Transfer Learning for Spatiotemporal Predictive NetworksCode1
Adapting BERT for Word Sense Disambiguation with Gloss Selection Objective and Example SentencesCode1
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
Worst-Case-Aware Curriculum Learning for Zero and Few Shot TransferCode0
Classification of COVID-19 in CT Scans using Multi-Source Transfer LearningCode0
EEG Channel Interpolation Using Deep Encoder-decoder NetwoksCode1
Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts—0
Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study—0
Generative Imagination Elevates Machine Translation—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
Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect—0
Open-Ended Fine-Grained 3D Object Categorization by Combining Shape and Texture Features in Multiple Colorspaces—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