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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 6501–6550 of 10307 papers

TitleStatusHype
EEG-based Classification of Drivers Attention using Convolutional Neural Network—0
Plug and Play, Model-Based Reinforcement Learning—0
Transfer-Recursive-Ensemble Learning for Multi-Day COVID-19 Prediction in India using Recurrent Neural Networks—0
Web image search engine based on LSH index and CNN Resnet50—0
A Multi-input Multi-output Transformer-based Hybrid Neural Network for Multi-class Privacy Disclosure Detection—0
Concurrent Discrimination and Alignment for Self-Supervised Feature Learning—0
Inverse design optimization framework via a two-step deep learning approach: application to a wind turbine airfoil—0
A new semi-supervised inductive transfer learning framework: Co-Transfer—0
DRDrV3: Complete Lesion Detection in Fundus Images Using Mask R-CNN, Transfer Learning, and LSTM—0
STAR: Noisy Semi-Supervised Transfer Learning for Visual Classification—0
CaT: Weakly Supervised Object Detection with Category TransferCode0
Multimodal Knowledge Learning for Named Entity Disambiguation—0
Reliability and Robustness of Transformers for Automated Short-Answer Grading—0
SURFNet: Super-resolution of Turbulent Flows with Transfer Learning using Small Datasets—0
Challenges for cognitive decoding using deep learning methods—0
Misleading the Covid-19 vaccination discourse on Twitter: An exploratory study of infodemic around the pandemicCode0
TL-SDD: A Transfer Learning-Based Method for Surface Defect Detection with Few Samples—0
HCR-Net: A deep learning based script independent handwritten character recognition networkCode0
Focus on the Positives: Self-Supervised Learning for Biodiversity MonitoringCode0
Fractional Transfer Learning for Deep Model-Based Reinforcement Learning—0
Transfer Learning from an Artificial Radiograph-landmark Dataset for Registration of the Anatomic Skull Model to Dual Fluoroscopic X-ray Images—0
One-shot Transfer Learning for Population MappingCode0
GeoCLR: Georeference Contrastive Learning for Efficient Seafloor Image Interpretation—0
MTG: A Benchmark Suite for Multilingual Text GenerationCode0
Resetting the baseline: CT-based COVID-19 diagnosis with Deep Transfer Learning is not as accurate as widely thought—0
ConvNets vs. Transformers: Whose Visual Representations are More Transferable?—0
Deep Learning Classification of Lake ZooplanktonCode0
How Self-Supervised Learning Can be Used for Fine-Grained Head Pose Estimation?—0
Hand Pose Classification Based on Neural Networks—0
An empirical investigation into audio pipeline approaches for classifying bird species—0
Joint Pilot Design and Channel Estimation using Deep Residual Learning for Multi-Cell Massive MIMO under Hardware Impairments—0
Automated Audio Captioning using Transfer Learning and Reconstruction Latent Space Similarity Regularization—0
Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations—0
Towards artificially intelligent recycling Improving image processing for waste classification—0
Machine Translation of Low-Resource Indo-European Languages—0
Deep Transfer Learning for Identifications of Slope Surface Cracks—0
Improving Similar Language Translation With Transfer Learning—0
Offensive Language and Hate Speech Detection with Deep Learning and Transfer Learning—0
Basis Scaling and Double Pruning for Efficient Inference in Network-Based Transfer Learning—0
Detecting Requirements Smells With Deep Learning: Experiences, Challenges and Future Work—0
Feature-Supervised Action Modality Transfer—0
Ensemble Augmentation for Deep Neural Networks Using 1-D Time Series Vibration DataCode0
Incremental Feature Learning For Infinite Data—0
A Data Augmented Approach to Transfer Learning for Covid-19 Detection—0
Improved Speech Emotion Recognition using Transfer Learning and Spectrogram Augmentation—0
Ada-VSR: Adaptive Video Super-Resolution with Meta-Learning—0
Robust Transfer Learning with Pretrained Language Models through Adapters—0
WeChat Neural Machine Translation Systems for WMT21—0
Terabyte-scale supervised 3D training and benchmarking dataset of the mouse kidney—0
Indoor Localization Under Limited Measurements: A Cross-Environment Joint Semi-Supervised and Transfer Learning Approach—0
Show:102550
← PrevPage 131 of 207Next →
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