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Self-Expanding Neural Networks
10 July 2023
Rupert Mitchell
Robin Menzenbach
Kristian Kersting
Martin Mundt
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Papers citing
"Self-Expanding Neural Networks"
11 / 11 papers shown
Title
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching
Federico Errica
Henrik Christiansen
Viktor Zaverkin
Takashi Maruyama
Mathias Niepert
Francesco Alesiani
174
10
0
27 Dec 2023
When, where, and how to add new neurons to ANNs
Kaitlin Maile
Emmanuel Rachelson
H. Luga
Dennis G. Wilson
54
16
0
17 Feb 2022
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning
Martin Mundt
Yongjun Hong
Iuliia Pliushch
Visvanathan Ramesh
CLL
92
150
0
03 Sep 2020
Splitting Steepest Descent for Growing Neural Architectures
Qiang Liu
Lemeng Wu
Dilin Wang
82
63
0
06 Oct 2019
Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks
Alejandro Molina
P. Schramowski
Kristian Kersting
ODL
40
82
0
15 Jul 2019
Deep Active Learning with a Neural Architecture Search
Yonatan Geifman
Ran El-Yaniv
AI4CE
62
45
0
19 Nov 2018
Lifelong Learning with Dynamically Expandable Networks
Jaehong Yoon
Eunho Yang
Jeongtae Lee
Sung Ju Hwang
CLL
123
1,229
0
04 Aug 2017
Net2Net: Accelerating Learning via Knowledge Transfer
Tianqi Chen
Ian Goodfellow
Jonathon Shlens
169
672
0
18 Nov 2015
Optimizing Neural Networks with Kronecker-factored Approximate Curvature
James Martens
Roger C. Grosse
ODL
104
1,023
0
19 Mar 2015
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
485
43,694
0
17 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.7K
39,595
0
01 Sep 2014
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