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 5751–5800 of 10307 papers

TitleStatusHype
Real-Time and Robust 3D Object Detection Within Road-Side LiDARs Using Domain Adaptation—0
Domain Adaptation for Sparse-Data Settings: What Do We Gain by Not Using Bert?—0
CycDA: Unsupervised Cycle Domain Adaptation from Image to VideoCode0
Kernel Modulation: A Parameter-Efficient Method for Training Convolutional Neural Networks—0
Enabling hand gesture customization on wrist-worn devices—0
Transfer Learning Framework for Low-Resource Text-to-Speech using a Large-Scale Unlabeled Speech Corpus—0
Using Domain Knowledge for Low Resource Named Entity Recognition—0
Towards Transferable Speech Emotion Representation: On loss functions for cross-lingual latent representations—0
A Framework of Meta Functional Learning for Regularising Knowledge Transfer—0
Recent Few-Shot Object Detection Algorithms: A Survey with Performance Comparison—0
Benchmarking Algorithms for Automatic License Plate Recognition—0
Medicinal Boxes Recognition on a Deep Transfer Learning Augmented Reality Mobile Application—0
Transfer of codebook latent factors for cross-domain recommendation with non-overlapping data—0
Interpretation of Chest x-rays affected by bullets using deep transfer learning—0
Semi-supervised machine learning model for analysis of nanowire morphologies from transmission electron microscopy imagesCode0
Digital Fingerprinting of Microstructures—0
Learning Losses for Strategic Classification—0
Facial Action Unit Recognition Based on Transfer Learning—0
A Comparative Evaluation Of Transformer Models For De-Identification Of Clinical Text Data—0
Can Unsupervised Knowledge Transfer from Social Discussions Help Argument Mining?Code0
A Two-Stage Federated Transfer Learning Framework in Medical Images Classification on Limited Data: A COVID-19 Case Study—0
Visuo-Haptic Object Perception for Robots: An Overview—0
A Computational Approach to Understand Mental Health from Reddit: Knowledge-aware Multitask Learning Framework—0
Feature Distribution Matching for Federated Domain GeneralizationCode0
A Locally Adaptive Algorithm for Multiple Testing with Network Structure—0
Mask Usage Recognition using Vision Transformer with Transfer Learning and Data Augmentation—0
A Text-to-Speech Pipeline, Evaluation Methodology, and Initial Fine-Tuning Results for Child Speech Synthesis—0
Deep Learning based Intelligent Coin-tap Test for Defect RecognitionCode0
simCrossTrans: A Simple Cross-Modality Transfer Learning for Object Detection with ConvNets or Vision TransformersCode0
A Study on Robustness to Perturbations for Representations of Environmental Sound—0
Towards 3D Scene Understanding by Referring Synthetic Models—0
Transferable Class-Modelling for Decentralized Source Attribution of GAN-Generated ImagesCode0
A Closer Look at Knowledge Distillation with Features, Logits, and Gradients—0
AdaVocoder: Adaptive Vocoder for Custom Voice—0
Multi-Modal Masked Pre-Training for Monocular Panoramic Depth CompletionCode0
Analysis and Adaptation of YOLOv4 for Object Detection in Aerial Images—0
Performance of Deep Learning models with transfer learning for multiple-step-ahead forecasts in monthly time series—0
Feature-informed Latent Space Regularization for Music Source Separation—0
POSTER: Diagnosis of COVID-19 through Transfer Learning Techniques on CT Scans: A Comparison of Deep Learning Models—0
Semantic-diversity transfer network for generalized zero-shot learning via inner disagreement based OOD detector—0
Image Super-Resolution With Deep Variational Autoencoders—0
Triangular Transfer: Freezing the Pivot for Triangular Machine Translation—0
Transfer learning for cross-modal demand prediction of bike-share and public transit—0
Transforming Sequence Tagging Into A Seq2Seq Task—0
CtlGAN: Few-shot Artistic Portraits Generation with Contrastive Transfer Learning—0
Object discovery and representation networksCode0
Continuous Detection, Rapidly React: Unseen Rumors Detection based on Continual Prompt-TuningCode0
Bures Joint Distribution Alignment with Dynamic Margin for Unsupervised Domain Adaptation—0
Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-modal Knowledge Transfer—0
Deep Transfer Learning with Graph Neural Network for Sensor-Based Human Activity Recognition—0
Show:102550
← PrevPage 116 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