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Power-law Scaling to Assist with Key Challenges in Artificial
  Intelligence

Power-law Scaling to Assist with Key Challenges in Artificial Intelligence

Scientific Reports (Sci Rep), 2020
15 November 2022
Yuval Meir
Shira Sardi
Shiri Hodassman
Karin Kisos
Itamar Ben-Noam
A. Goldental
Ido Kanter
ArXiv (abs)PDFHTML

Papers citing "Power-law Scaling to Assist with Key Challenges in Artificial Intelligence"

8 / 8 papers shown
Neural Scaling Laws for Deep Regression
Neural Scaling Laws for Deep Regression
Tilen Cadez
Kyoung-Min Kim
243
0
0
12 Sep 2025
Role of Delay in Brain Dynamics
Role of Delay in Brain Dynamics
Yuval Meir
Ofek Tevet
Yarden Tzach
Shiri Hodassman
Ido Kanter
AI4CE
204
2
0
15 Oct 2024
Statistical Mechanics of Learning via Reverberation in Bidirectional
  Associative Memories
Statistical Mechanics of Learning via Reverberation in Bidirectional Associative Memories
M. Centonze
Ido Kanter
Adriano Barra
224
3
0
17 Jul 2023
Guided Transfer Learning
Guided Transfer Learning
Danilo Nikolić
Davor Andrić
V. Nikolić
147
2
0
26 Mar 2023
Dense Hebbian neural networks: a replica symmetric picture of supervised
  learning
Dense Hebbian neural networks: a replica symmetric picture of supervised learningSocial Science Research Network (SSRN), 2022
E. Agliari
L. Albanese
Francesco Alemanno
Andrea Alessandrelli
Adriano Barra
F. Giannotti
Daniele Lotito
D. Pedreschi
300
22
0
25 Nov 2022
Efficient shallow learning as an alternative to deep learning
Efficient shallow learning as an alternative to deep learningScientific Reports (Sci Rep), 2022
Yuval Meir
Ofek Tevet
Yarden Tzach
Shiri Hodassman
Ronit D. Gross
Ido Kanter
185
31
0
15 Nov 2022
Brain inspired neuronal silencing mechanism to enable reliable sequence
  identification
Brain inspired neuronal silencing mechanism to enable reliable sequence identificationScientific Reports (Sci Rep), 2022
Shiri Hodassman
Yuval Meir
Karin Kisos
Itamar Ben-Noam
Yael Tugendhaft
A. Goldental
R. Vardi
Ido Kanter
218
2
0
24 Mar 2022
Supervised Hebbian Learning
Supervised Hebbian LearningEurophysics letters (EPL), 2022
Francesco Alemanno
Miriam Aquaro
Ido Kanter
Adriano Barra
E. Agliari
SSL
259
33
0
02 Mar 2022
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