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Transfer and Marginalize: Explaining Away Label Noise with Privileged
  Information

Transfer and Marginalize: Explaining Away Label Noise with Privileged Information

18 February 2022
Mark Collier
Rodolphe Jenatton
Efi Kokiopoulou
Jesse Berent
ArXivPDFHTML

Papers citing "Transfer and Marginalize: Explaining Away Label Noise with Privileged Information"

11 / 11 papers shown
Title
Conformal Prediction with Corrupted Labels: Uncertain Imputation and Robust Re-weighting
Conformal Prediction with Corrupted Labels: Uncertain Imputation and Robust Re-weighting
Shai Feldman
Stephen Bates
Yaniv Romano
27
0
0
07 May 2025
Rethinking Knowledge Transfer in Learning Using Privileged Information
Rethinking Knowledge Transfer in Learning Using Privileged Information
Danil Provodin
Bram van den Akker
Christina Katsimerou
M. Kaptein
Mykola Pechenizkiy
36
0
0
26 Aug 2024
On Subjective Uncertainty Quantification and Calibration in Natural
  Language Generation
On Subjective Uncertainty Quantification and Calibration in Natural Language Generation
Ziyu Wang
Chris Holmes
UQLM
45
4
0
07 Jun 2024
MathWriting: A Dataset For Handwritten Mathematical Expression Recognition
MathWriting: A Dataset For Handwritten Mathematical Expression Recognition
Philippe Gervais
Asya Fadeeva
Andrii Maksai
23
4
0
16 Apr 2024
Pi-DUAL: Using Privileged Information to Distinguish Clean from Noisy
  Labels
Pi-DUAL: Using Privileged Information to Distinguish Clean from Noisy Labels
Ke Wang
Guillermo Ortiz-Jimenez
Rodolphe Jenatton
Mark Collier
Efi Kokiopoulou
Pascal Frossard
AAML
17
2
0
10 Oct 2023
When does Privileged Information Explain Away Label Noise?
When does Privileged Information Explain Away Label Noise?
Guillermo Ortiz-Jiménez
Mark Collier
Anant Nawalgaria
Alexander DÁmour
Jesse Berent
Rodolphe Jenatton
E. Kokiopoulou
NoLa
152
7
0
03 Mar 2023
Toward Understanding Privileged Features Distillation in
  Learning-to-Rank
Toward Understanding Privileged Features Distillation in Learning-to-Rank
Shuo Yang
Sujay Sanghavi
Holakou Rahmanian
J. Bakus
S.V.N. Vishwanathan
113
14
0
19 Sep 2022
Eliciting and Learning with Soft Labels from Every Annotator
Eliciting and Learning with Soft Labels from Every Annotator
K. M. Collins
Umang Bhatt
Adrian Weller
11
44
0
02 Jul 2022
Correlated Input-Dependent Label Noise in Large-Scale Image
  Classification
Correlated Input-Dependent Label Noise in Large-Scale Image Classification
Mark Collier
Basil Mustafa
Efi Kokiopoulou
Rodolphe Jenatton
Jesse Berent
NoLa
176
53
0
19 May 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,471
0
17 Apr 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,652
0
05 Dec 2016
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