ResearchTrend.AI
The Resistance to Label Noise in K-NN and DNN Depends on its Concentration
v1v2v3 (latest)

The Resistance to Label Noise in K-NN and DNN Depends on its Concentration

Amnon Drory
Oria Ratzon
S. Avidan
Raja Giryes
ArXiv (abs)PDFHTML

Papers citing "The Resistance to Label Noise in K-NN and DNN Depends on its Concentration"

5 / 5 papers shown
Title
Attention-Aware Noisy Label Learning for Image Classification
Attention-Aware Noisy Label Learning for Image Classification
Zhenzhen Wang
Chunyan Xu
Yap-Peng Tan
Junsong Yuan
NoLa
43
2
0
30 Sep 2020
Underwater object detection using Invert Multi-Class Adaboost with deep learning
Underwater object detection using Invert Multi-Class Adaboost with deep learning
Long Chen
Zhihua Liu
Lei Tong
Zheheng Jiang
Shengke Wang
Junyu Dong
Huiyu Zhou
38
74
0
23 May 2020
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis
Davood Karimi
Haoran Dou
Simon K. Warfield
Ali Gholipour
NoLa
133
551
0
05 Dec 2019
Theoretical Guarantees of Deep Embedding Losses Under Label Noise
Theoretical Guarantees of Deep Embedding Losses Under Label Noise
Nam Le
J. Odobez
NoLa
23
1
0
06 Dec 2018
SOSELETO: A Unified Approach to Transfer Learning and Training with Noisy Labels
SOSELETO: A Unified Approach to Transfer Learning and Training with Noisy Labels
Or Litany
Daniel Freedman
NoLa
57
13
0
24 May 2018