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EMNIST: an extension of MNIST to handwritten letters

EMNIST: an extension of MNIST to handwritten letters

17 February 2017
Gregory Cohen
Saeed Afshar
J. Tapson
André van Schaik
ArXivPDFHTML

Papers citing "EMNIST: an extension of MNIST to handwritten letters"

15 / 15 papers shown
Title
Use of Metric Learning for the Recognition of Handwritten Digits, and its Application to Increase the Outreach of Voice-based Communication Platforms
Use of Metric Learning for the Recognition of Handwritten Digits, and its Application to Increase the Outreach of Voice-based Communication Platforms
Devesh Pant
Dibyendu Talukder
Deepak Kumar
Rachit Pandey
Aaditeshwar Seth
Chetan Arora
137
2
0
26 Apr 2025
Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification
Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification
Ashim Dahal
Saydul Akbar Murad
Nick Rahimi
68
0
0
27 Jan 2025
Multi-View Majority Vote Learning Algorithms: Direct Minimization of PAC-Bayesian Bounds
Multi-View Majority Vote Learning Algorithms: Direct Minimization of PAC-Bayesian Bounds
Mehdi Hennequin
Abdelkrim Zitouni
K. Benabdeslem
H. Elghazel
Yacine Gaci
45
0
0
09 Nov 2024
Analyzing Generative Models by Manifold Entropic Metrics
Analyzing Generative Models by Manifold Entropic Metrics
Daniel Galperin
Ullrich Köthe
DRL
91
0
0
25 Oct 2024
Which Backbone to Use: A Resource-efficient Domain Specific Comparison for Computer Vision
Which Backbone to Use: A Resource-efficient Domain Specific Comparison for Computer Vision
Pranav Jeevan
Amit Sethi
VLM
56
4
0
09 Jun 2024
FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update
FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update
Ziru Niu
Hai Dong
•. A. K. Qin
80
2
0
18 Mar 2024
Partitioned Neural Network Training via Synthetic Intermediate Labels
Partitioned Neural Network Training via Synthetic Intermediate Labels
C. V. Karadag
Nezih Topaloglu
49
1
0
17 Mar 2024
On Continuity of Robust and Accurate Classifiers
On Continuity of Robust and Accurate Classifiers
Ramin Barati
Reza Safabakhsh
Mohammad Rahmati
AAML
39
1
0
29 Sep 2023
Compress Then Test: Powerful Kernel Testing in Near-linear Time
Compress Then Test: Powerful Kernel Testing in Near-linear Time
Carles Domingo-Enrich
Raaz Dwivedi
Lester W. Mackey
71
9
0
14 Jan 2023
Anomalous Example Detection in Deep Learning: A Survey
Anomalous Example Detection in Deep Learning: A Survey
Saikiran Bulusu
B. Kailkhura
Yue Liu
P. Varshney
D. Song
AAML
100
47
0
16 Mar 2020
Batch-normalized Maxout Network in Network
Batch-normalized Maxout Network in Network
Jia-Ren Chang
Yonghao Chen
OOD
62
108
0
09 Nov 2015
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed,
  Gated, and Tree
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree
Chen-Yu Lee
Patrick W. Gallagher
Zhuowen Tu
AI4CE
61
484
0
30 Sep 2015
APAC: Augmented PAttern Classification with Neural Networks
APAC: Augmented PAttern Classification with Neural Networks
Ikuro Sato
Hiroki Nishimura
Kensuke Yokoi
41
137
0
13 May 2015
Online and Adaptive Pseudoinverse Solutions for ELM Weights
Online and Adaptive Pseudoinverse Solutions for ELM Weights
André van Schaik
J. Tapson
44
51
0
30 May 2014
Multi-column Deep Neural Networks for Image Classification
Multi-column Deep Neural Networks for Image Classification
D. Ciresan
U. Meier
Jürgen Schmidhuber
117
3,935
0
13 Feb 2012
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