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2408.11720
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On Learnable Parameters of Optimal and Suboptimal Deep Learning Models
21 August 2024
Ziwei Zheng
Huizhi Liang
V. Snás̃el
Vito Latora
Panos Pardalos
Giuseppe Nicosia
Varun Ojha
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Papers citing
"On Learnable Parameters of Optimal and Suboptimal Deep Learning Models"
10 / 10 papers shown
Title
Structure and Performance of Fully Connected Neural Networks: Emerging Complex Network Properties
Leonardo F. S. Scabini
Odemir M. Bruno
GNN
38
56
0
29 Jul 2021
Understanding and mitigating noise in trained deep neural networks
N. Semenova
L. Larger
Daniel Brunner
AI4CE
124
34
0
12 Mar 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
684
41,563
0
22 Oct 2020
Topology of deep neural networks
Gregory Naitzat
A. Zhitnikov
Lek-Heng Lim
AI4CE
36
133
0
13 Apr 2020
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned
Elena Voita
David Talbot
F. Moiseev
Rico Sennrich
Ivan Titov
119
1,149
0
23 May 2019
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jonathan Frankle
Michael Carbin
277
3,489
0
09 Mar 2018
Deep Learning for Medical Image Analysis
Mina Rezaei
Haojin Yang
Christoph Meinel
77
2,073
0
17 Aug 2017
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
808
132,725
0
12 Jun 2017
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
391
13,172
0
12 Mar 2015
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
291
14,968
1
21 Dec 2013
1