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Robust Learning by Self-Transition for Handling Noisy Labels

Robust Learning by Self-Transition for Handling Noisy Labels

8 December 2020
Hwanjun Song
Minseok Kim
Dongmin Park
Yooju Shin
Jae-Gil Lee
    NoLa
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Papers citing "Robust Learning by Self-Transition for Handling Noisy Labels"

11 / 11 papers shown
Title
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Yancheng Wang
Changyu Liu
Yingzhen Yang
DiffM
GNN
94
0
0
16 Mar 2025
Early Stopping Against Label Noise Without Validation Data
Early Stopping Against Label Noise Without Validation Data
Suqin Yuan
Lei Feng
Tongliang Liu
NoLa
107
18
0
11 Feb 2025
RIME: Robust Preference-based Reinforcement Learning with Noisy
  Preferences
RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences
Jie Cheng
Gang Xiong
Xingyuan Dai
Qinghai Miao
Yisheng Lv
Fei-Yue Wang
37
16
0
27 Feb 2024
On Robust Learning from Noisy Labels: A Permutation Layer Approach
On Robust Learning from Noisy Labels: A Permutation Layer Approach
Salman Alsubaihi
Mohammed Alkhrashi
Raied Aljadaany
Fahad Albalawi
Guohao Li
NoLa
25
0
0
29 Nov 2022
Instance-Dependent Noisy Label Learning via Graphical Modelling
Instance-Dependent Noisy Label Learning via Graphical Modelling
Arpit Garg
Cuong C. Nguyen
Rafael Felix
Thanh-Toan Do
G. Carneiro
NoLa
43
27
0
02 Sep 2022
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning
Sangmook Kim
Wonyoung Shin
Soohyuk Jang
Hwanjun Song
Se-Young Yun
37
2
0
03 May 2022
Online Continual Learning on a Contaminated Data Stream with Blurry Task
  Boundaries
Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries
Jihwan Bang
Hyun-woo Koh
Seulki Park
Hwanjun Song
Jung-Woo Ha
Jonghyun Choi
CLL
35
39
0
29 Mar 2022
Data Collection and Quality Challenges in Deep Learning: A Data-Centric
  AI Perspective
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective
Steven Euijong Whang
Yuji Roh
Hwanjun Song
Jae-Gil Lee
29
327
0
13 Dec 2021
Learning from Noisy Labels with Deep Neural Networks: A Survey
Learning from Noisy Labels with Deep Neural Networks: A Survey
Hwanjun Song
Minseok Kim
Dongmin Park
Yooju Shin
Jae-Gil Lee
NoLa
26
964
0
16 Jul 2020
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
273
1,275
0
06 Mar 2017
Stochastic Gradient Descent for Non-smooth Optimization: Convergence
  Results and Optimal Averaging Schemes
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes
Ohad Shamir
Tong Zhang
104
572
0
08 Dec 2012
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