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 5701–5750 of 10307 papers

TitleStatusHype
AfriWOZ: Corpus for Exploiting Cross-Lingual Transferability for Generation of Dialogues in Low-Resource, African Languages—0
Wound Severity Classification using Deep Neural Network—0
STRATA: Word Boundaries & Phoneme Recognition From Continuous Urdu Speech using Transfer Learning, Attention, & Data Augmentation—0
Few-Shot Transfer Learning to improve Chest X-Ray pathology detection using limited tripletsCode0
Transfer Learning for Instance Segmentation of Waste Bottles using Mask R-CNN Algorithm—0
OmniPD: One-Step Person Detection in Top-View Omnidirectional Indoor Scenes—0
Robotic and Generative Adversarial Attacks in Offline Writer-independent Signature Verification—0
Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking—0
Dialogue Strategy Adaptation to New Action Sets Using Multi-dimensional Modelling—0
A Simple Approach to Adversarial Robustness in Few-shot Image ClassificationCode0
Dependable Intrusion Detection System for IoT: A Deep Transfer Learning-based Approach—0
Transfer Learning for Autonomous Chatter Detection in Machining—0
Fake news detection using parallel BERT deep neural networks—0
Segmenting across places: The need for fair transfer learning with satellite imagery—0
A3CLNN: Spatial, Spectral and Multiscale Attention ConvLSTM Neural Network for Multisource Remote Sensing Data Classification—0
IDPG: An Instance-Dependent Prompt Generation Method—0
Does Robustness on ImageNet Transfer to Downstream Tasks?—0
Blockchain as an Enabler for Transfer Learning in Smart Environments—0
Marvelous Agglutinative Language Effect on Cross Lingual Transfer Learning—0
MTI-Net: A Multi-Target Speech Intelligibility Prediction Model—0
A Pathology-Based Machine Learning Method to Assist in Epithelial Dysplasia Diagnosis—0
Pneumonia Detection in Chest X-Rays using Neural Networks—0
Forecasting new diseases in low-data settings using transfer learningCode0
Implementing a Real-Time, YOLOv5 based Social Distancing Measuring System for Covid-19—0
EfficientCellSeg: Efficient Volumetric Cell Segmentation Using Context Aware PseudocoloringCode0
Banana Sub-Family Classification and Quality Prediction using Computer Vision—0
Emotional Speech Recognition with Pre-trained Deep Visual ModelsCode0
A New Dataset for Topic-Based Paragraph Classification in Genocide-Related Court TranscriptsCode0
Deep transfer learning for system identification using long short-term memory neural networks—0
Dimensionality Expansion of Load Monitoring Time Series and Transfer Learning for EMS—0
A lightweight and accurate YOLO-like network for small target detection in Aerial Imagery—0
Domain-Aware Contrastive Knowledge Transfer for Multi-domain Imbalanced Data—0
An Analysis of Semantically-Aligned Speech-Text Embeddings—0
Computer-Aided Extraction of Select MRI Markers of Cerebral Small Vessel Disease: A Systematic Review—0
CDKT-FL: Cross-Device Knowledge Transfer using Proxy Dataset in Federated Learning—0
Stuttgart Open Relay Degradation Dataset (SOReDD)—0
SHiFT: An Efficient, Flexible Search Engine for Transfer LearningCode0
Anti-Spoofing Using Transfer Learning with Variational Information Bottleneck—0
Towards Deep Industrial Transfer Learning: Clustering for Transfer Case Selection—0
Deep Speech Based End-to-End Automated Speech Recognition (ASR) for Indian-English Accents—0
In Rain or Shine: Understanding and Overcoming Dataset Bias for Improving Robustness Against Weather Corruptions for Autonomous Vehicles—0
Autonomous crater detection on asteroids using a fully-convolutional neural network—0
Knowledge distillation with error-correcting transfer learning for wind power prediction—0
Diverse Preference Augmentation with Multiple Domains for Cold-start RecommendationsCode0
Proper Reuse of Image Classification Features Improves Object Detection—0
Efficient Argument Structure Extraction with Transfer Learning and Active Learning—0
Unified and Effective Ensemble Knowledge Distillation—0
Scaling Language Model Size in Cross-Device Federated Learning—0
A Temporal Learning Approach to Inpainting Endoscopic Specularities and Its effect on Image Correspondence—0
Maze Learning using a Hyperdimensional Predictive Processing Cognitive Architecture—0
Show:102550
← PrevPage 115 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