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 6051–6100 of 10307 papers

TitleStatusHype
Learning ULMFiT and Self-Distillation with Calibration for Medical Dialogue System—0
Improved Reinforcement Learning in Cooperative Multi-agent Environments Using Knowledge Transfer—0
Similarity metrics for Different Market Scenarios in Abides—0
Transfer Learning for Credit Card Fraud Detection: A Journey from Research to Production—0
SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retrainingCode1
AgileGAN: stylizing portraits by inversion-consistent transfer learningCode1
Class dependency based learning using Bi-LSTM coupled with the transfer learning of VGG16 for the diagnosis of Tuberculosis from chest x-rays—0
Confidence Aware Neural Networks for Skin Cancer Detection—0
Modality Fusion Network and Personalized Attention in Momentary Stress Detection in the WildCode0
Adaptive Transfer Learning on Graph Neural NetworksCode1
Know Thyself: Transferable Visual Control Policies Through Robot-AwarenessCode1
Non-asymptotic estimates for TUSLA algorithm for non-convex learning with applications to neural networks with ReLU activation functionCode0
Non-binary deep transfer learning for image classificationCode1
TFix: Learning to Fix Coding Errors with a Text-to-Text TransformerCode1
Attention-based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction—0
Boosting the Convergence of Reinforcement Learning-based Auto-pruning Using Historical Data—0
Online Learning for Recommendations at Grubhub—0
Fine-tuning giant neural networks on commodity hardware with automatic pipeline model parallelismCode1
FST: the FAIR Speech Translation System for the IWSLT21 Multilingual Shared Task—0
ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus—0
BERT Fine-Tuning for Sentiment Analysis on Indonesian Mobile Apps Reviews—0
Cats, not CAT scans: a study of dataset similarity in transfer learning for 2D medical image classificationCode0
Transfer Learning in Multi-Agent Reinforcement Learning with Double Q-Networks for Distributed Resource Sharing in V2X Communication—0
Toward Efficient Transfer Learning in 6G—0
Improving Speech Translation by Understanding and Learning from the Auxiliary Text Translation Task—0
Deep Transfer Learning Based Intrusion Detection System for Electric Vehicular Networks—0
Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic SegmentationCode1
Spectro-Temporal RF Identification using Deep Learning—0
BCNet: A Deep Convolutional Neural Network for Breast Cancer Grading—0
Detection of Plant Leaf Disease Directly in the JPEG Compressed Domain using Transfer Learning Technique—0
Propagation-aware Social Recommendation by Transfer Learning—0
Transformer-Based Behavioral Representation Learning Enables Transfer Learning for Mobile Sensing in Small Datasets—0
An Initial Investigation of Non-Native Spoken Question-Answering—0
Fuzzy Rank-based Fusion of CNN Models using Gompertz Function for Screening COVID-19 CT-ScansCode0
A Systematic Survey of Text Worlds as Embodied Natural Language Environments—0
Malware Classification Using Deep Boosted Learning—0
Introducing the structural bases of typicality effects in deep learning—0
ADAPT : Awesome Domain Adaptation Python Toolbox—0
Differentiable Architecture Pruning for Transfer Learning—0
Transfer Learning in Information Criteria-based Feature SelectionCode0
Transfer Learning for Improving Results on Russian Sentiment DatasetsCode0
Unsupervised Knowledge-Transfer for Learned Image Reconstruction—0
VidLanKD: Improving Language Understanding via Video-Distilled Knowledge TransferCode1
On-edge Multi-task Transfer Learning: Model and Practice with Data-driven Task Allocation—0
Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning—0
A Deep Transfer Learning Approach on Identifying Glitch Wave-form in Gravitational Wave Data—0
Contradiction Detection in Persian Text—0
Dealing with Adversarial Player Strategies in the Neural Network Game iNNk through Ensemble Learning—0
What Makes for Hierarchical Vision Transformer?—0
Towards Scheduling Federated Deep Learning using Meta-Gradients for Inter-Hospital Learning—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