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Learning with Bad Training Data via Iterative Trimmed Loss Minimization
28 October 2018
Yanyao Shen
Sujay Sanghavi
FedML
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Papers citing
"Learning with Bad Training Data via Iterative Trimmed Loss Minimization"
10 / 10 papers shown
Title
High Dimensional Robust Sparse Regression
Liu Liu
Yanyao Shen
Tianyang Li
Constantine Caramanis
56
71
0
29 May 2018
Learning to Reweight Examples for Robust Deep Learning
Mengye Ren
Wenyuan Zeng
Binh Yang
R. Urtasun
OOD
NoLa
146
1,426
0
24 Mar 2018
Efficient Algorithms for Outlier-Robust Regression
Adam R. Klivans
Pravesh Kothari
Raghu Meka
AAML
51
157
0
08 Mar 2018
Sever: A Robust Meta-Algorithm for Stochastic Optimization
Ilias Diakonikolas
Gautam Kamath
D. Kane
Jerry Li
Jacob Steinhardt
Alistair Stewart
69
289
0
07 Mar 2018
Robust Estimation via Robust Gradient Estimation
Adarsh Prasad
A. Suggala
Sivaraman Balakrishnan
Pradeep Ravikumar
71
222
0
19 Feb 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
283
8,883
0
25 Aug 2017
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
340
7,985
0
23 May 2016
Learning from Binary Labels with Instance-Dependent Corruption
A. Menon
Brendan van Rooyen
Nagarajan Natarajan
NoLa
88
41
0
03 May 2016
Training Convolutional Networks with Noisy Labels
Sainbayar Sukhbaatar
Joan Bruna
Manohar Paluri
Lubomir D. Bourdev
Rob Fergus
NoLa
92
272
0
09 Jun 2014
Classification with Asymmetric Label Noise: Consistency and Maximal Denoising
Gilles Blanchard
Marek Flaska
G. Handy
Sara Pozzi
Clayton Scott
NoLa
91
244
0
05 Mar 2013
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