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Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic
  Artificial Neural Networks

Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks

30 March 2017
Andrea Soltoggio
Kenneth O. Stanley
S. Risi
    AI4CE
ArXivPDFHTML

Papers citing "Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks"

20 / 20 papers shown
Title
Evolved Developmental Artificial Neural Networks for Multitasking with
  Advanced Activity Dependence
Evolved Developmental Artificial Neural Networks for Multitasking with Advanced Activity Dependence
Yintong Zhang
Jason A. Yoder
36
0
0
14 Jul 2024
Brain-inspired learning in artificial neural networks: a review
Brain-inspired learning in artificial neural networks: a review
Samuel Schmidgall
Jascha Achterberg
Thomas Miconi
Louis Kirsch
Rojin Ziaei
S. P. Hajiseyedrazi
Jason K. Eshraghian
38
52
0
18 May 2023
Short-Term Plasticity Neurons Learning to Learn and Forget
Short-Term Plasticity Neurons Learning to Learn and Forget
Hector Garcia Rodriguez
Qinghai Guo
Timoleon Moraitis
20
12
0
28 Jun 2022
Minimal Neural Network Models for Permutation Invariant Agents
Minimal Neural Network Models for Permutation Invariant Agents
J. Pedersen
S. Risi
51
3
0
12 May 2022
Stable Lifelong Learning: Spiking neurons as a solution to instability
  in plastic neural networks
Stable Lifelong Learning: Spiking neurons as a solution to instability in plastic neural networks
Samuel Schmidgall
Joe Hays
28
4
0
07 Nov 2021
Evolving Decomposed Plasticity Rules for Information-Bottlenecked
  Meta-Learning
Evolving Decomposed Plasticity Rules for Information-Bottlenecked Meta-Learning
Fan Wang
Hao Tian
Haoyi Xiong
Hua Wu
Jie Fu
Yang Cao
Yu Kang
Haifeng Wang
AI4CE
15
3
0
08 Sep 2021
An Investigation of Replay-based Approaches for Continual Learning
An Investigation of Replay-based Approaches for Continual Learning
Benedikt Bagus
A. Gepperth
CLL
38
33
0
15 Aug 2021
Epigenetic opportunities for Evolutionary Computation
Epigenetic opportunities for Evolutionary Computation
Sizhe Yuen
T. H. Ezard
Adam Sobey
AI4CE
42
3
0
10 Aug 2021
Overcoming Catastrophic Forgetting with Gaussian Mixture Replay
Overcoming Catastrophic Forgetting with Gaussian Mixture Replay
Benedikt Pfülb
A. Gepperth
VLM
BDL
29
12
0
19 Apr 2021
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy
  Families All Alike?
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike?
Jun Ma
66
25
0
01 Jan 2021
Meta-Learning through Hebbian Plasticity in Random Networks
Meta-Learning through Hebbian Plasticity in Random Networks
Elias Najarro
S. Risi
30
77
0
06 Jul 2020
Evolving Inborn Knowledge For Fast Adaptation in Dynamic POMDP Problems
Evolving Inborn Knowledge For Fast Adaptation in Dynamic POMDP Problems
Eseoghene Ben-Iwhiwhu
Pawel Ladosz
Jeffery Dick
Wen‐Hua Chen
Praveen K. Pilly
Andrea Soltoggio
37
9
0
27 Apr 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
93
1,935
0
11 Apr 2020
Backpropamine: training self-modifying neural networks with
  differentiable neuromodulated plasticity
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity
Thomas Miconi
Aditya Rawal
Jeff Clune
Kenneth O. Stanley
19
90
0
24 Feb 2020
Learning to Continually Learn
Learning to Continually Learn
Shawn L. E. Beaulieu
Lapo Frati
Thomas Miconi
Joel Lehman
Kenneth O. Stanley
Jeff Clune
Nick Cheney
KELM
CLL
46
147
0
21 Feb 2020
Meta-learnt priors slow down catastrophic forgetting in neural networks
Meta-learnt priors slow down catastrophic forgetting in neural networks
G. Spigler
CLL
25
10
0
09 Sep 2019
AI-GAs: AI-generating algorithms, an alternate paradigm for producing
  general artificial intelligence
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence
Jeff Clune
17
116
0
27 May 2019
Evolving the pulmonary nodules diagnosis from classical approaches to
  deep learning aided decision support: three decades development course and
  future prospect
Evolving the pulmonary nodules diagnosis from classical approaches to deep learning aided decision support: three decades development course and future prospect
Bo Liu
Wenhao Chi
Xinran Li
Peng Li
W. Liang
Haiping Liu
Wei Wang
Jianxing He
24
69
0
23 Jan 2019
An Adaptive Locally Connected Neuron Model: Focusing Neuron
An Adaptive Locally Connected Neuron Model: Focusing Neuron
F. Boray Tek
27
5
0
31 Aug 2018
Convolution by Evolution: Differentiable Pattern Producing Networks
Convolution by Evolution: Differentiable Pattern Producing Networks
Chrisantha Fernando
Dylan Banarse
Malcolm Reynolds
F. Besse
David Pfau
Max Jaderberg
Marc Lanctot
Daan Wierstra
191
102
0
08 Jun 2016
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