Collective variables of neural networks: empirical time evolution and
scaling laws

Collective variables of neural networks: empirical time evolution and scaling laws

9 October 2024

Sven Krippendorf

Konstantin Nikolaou

Papers citing "Collective variables of neural networks: empirical time evolution and scaling laws"

7 / 7 papers shown

Title
Neural Networks as Kernel Learners: The Silent Alignment Effect Alexander B. Atanasov Blake Bordelon Cengiz Pehlevan MLT 60 82 0 29 Oct 2021
Explaining Neural Scaling Laws Yasaman Bahri Ethan Dyer Jared Kaplan Jaehoon Lee Utkarsh Sharma 54 260 0 12 Feb 2021
Understanding the Role of Training Regimes in Continual Learning Seyed Iman Mirzadeh Mehrdad Farajtabar Razvan Pascanu H. Ghasemzadeh CLL 67 225 0 12 Jun 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 271 2,719 0 02 May 2020
The Two Regimes of Deep Network Training Guillaume Leclerc Aleksander Madry 54 45 0 24 Feb 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 520 4,773 0 23 Jan 2020
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 106 3,002 0 19 Jul 2012