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MetaLabelNet: Learning to Generate Soft-Labels from Noisy-Labels

MetaLabelNet: Learning to Generate Soft-Labels from Noisy-Labels

19 March 2021
G. Algan
ilkay Ulusoy
    NoLa
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Papers citing "MetaLabelNet: Learning to Generate Soft-Labels from Noisy-Labels"

4 / 4 papers shown
Title
Robust Cross-Modal Representation Learning with Progressive
  Self-Distillation
Robust Cross-Modal Representation Learning with Progressive Self-Distillation
A. Andonian
Shixing Chen
Raffay Hamid
VLM
29
54
0
10 Apr 2022
Meta-Calibration: Learning of Model Calibration Using Differentiable
  Expected Calibration Error
Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error
Ondrej Bohdal
Yongxin Yang
Timothy M. Hospedales
UQCV
OOD
43
21
0
17 Jun 2021
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models
Karishma Sharma
Pinar E. Donmez
Enming Luo
Yan Liu
I. Z. Yalniz
NoLa
60
33
0
15 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
344
11,684
0
09 Mar 2017
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