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Cold Case: The Lost MNIST Digits
v1v2 (latest)

Cold Case: The Lost MNIST Digits

25 May 2019
Chhavi Yadav
Léon Bottou
ArXiv (abs)PDFHTML

Papers citing "Cold Case: The Lost MNIST Digits"

18 / 68 papers shown
Title
AutoBayes: Automated Bayesian Graph Exploration for Nuisance-Robust
  Inference
AutoBayes: Automated Bayesian Graph Exploration for Nuisance-Robust Inference
Andac Demir
T. Koike-Akino
Ye Wang
Deniz Erdogmus
28
0
0
02 Jul 2020
Using Wavelets and Spectral Methods to Study Patterns in
  Image-Classification Datasets
Using Wavelets and Spectral Methods to Study Patterns in Image-Classification Datasets
Roozbeh Yousefzadeh
Furong Huang
51
6
0
17 Jun 2020
Model-Based Robust Deep Learning: Generalizing to Natural,
  Out-of-Distribution Data
Model-Based Robust Deep Learning: Generalizing to Natural, Out-of-Distribution Data
Alexander Robey
Hamed Hassani
George J. Pappas
OOD
103
43
0
20 May 2020
Identifying Statistical Bias in Dataset Replication
Identifying Statistical Bias in Dataset Replication
Logan Engstrom
Andrew Ilyas
Shibani Santurkar
Dimitris Tsipras
Jacob Steinhardt
Aleksander Madry
72
51
0
19 May 2020
The Effect of Natural Distribution Shift on Question Answering Models
The Effect of Natural Distribution Shift on Question Answering Models
John Miller
K. Krauth
Benjamin Recht
Ludwig Schmidt
OOD
105
145
0
29 Apr 2020
Evaluating Models' Local Decision Boundaries via Contrast Sets
Evaluating Models' Local Decision Boundaries via Contrast Sets
Matt Gardner
Yoav Artzi
Victoria Basmova
Jonathan Berant
Ben Bogin
...
Sanjay Subramanian
Reut Tsarfaty
Eric Wallace
Ally Zhang
Ben Zhou
ELM
118
84
0
06 Apr 2020
Improve SGD Training via Aligning Mini-batches
Improve SGD Training via Aligning Mini-batches
Xiangrui Li
Deng Pan
X. Li
D. Zhu
13
1
0
23 Feb 2020
Deep regularization and direct training of the inner layers of Neural
  Networks with Kernel Flows
Deep regularization and direct training of the inner layers of Neural Networks with Kernel Flows
G. Yoo
H. Owhadi
74
21
0
19 Feb 2020
A Spike in Performance: Training Hybrid-Spiking Neural Networks with
  Quantized Activation Functions
A Spike in Performance: Training Hybrid-Spiking Neural Networks with Quantized Activation Functions
Aaron R. Voelker
Daniel Rasmussen
C. Eliasmith
69
17
0
10 Feb 2020
Improving Differentially Private Models with Active Learning
Improving Differentially Private Models with Active Learning
Zhengli Zhao
Nicolas Papernot
Sameer Singh
N. Polyzotis
Augustus Odena
SyDa
28
5
0
02 Oct 2019
That which we call private
That which we call private
Ulfar Erlingsson
Ilya Mironov
A. Raghunathan
Shuang Song
73
26
0
08 Aug 2019
Optimal multiclass overfitting by sequence reconstruction from Hamming
  queries
Optimal multiclass overfitting by sequence reconstruction from Hamming queries
Jayadev Acharya
A. Suresh
34
3
0
08 Aug 2019
Kannada-MNIST: A new handwritten digits dataset for the Kannada language
Kannada-MNIST: A new handwritten digits dataset for the Kannada language
Vinay Uday Prabhu
62
51
0
03 Aug 2019
Model Similarity Mitigates Test Set Overuse
Model Similarity Mitigates Test Set Overuse
Horia Mania
John Miller
Ludwig Schmidt
Moritz Hardt
Benjamin Recht
68
52
0
29 May 2019
Disentangling Style and Content in Anime Illustrations
Disentangling Style and Content in Anime Illustrations
Sitao Xiang
Hao Li
GANDRL
67
8
0
26 May 2019
The advantages of multiple classes for reducing overfitting from test
  set reuse
The advantages of multiple classes for reducing overfitting from test set reuse
Vitaly Feldman
Roy Frostig
Moritz Hardt
74
30
0
24 May 2019
Detecting Overfitting via Adversarial Examples
Detecting Overfitting via Adversarial Examples
Roman Werpachowski
András Gyorgy
Csaba Szepesvári
TDI
86
45
0
06 Mar 2019
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation
  Learning
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning
Daniel Coelho De Castro
Jeremy Tan
Bernhard Kainz
E. Konukoglu
Ben Glocker
DRL
75
71
0
27 Sep 2018
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