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An Analytical Theory of Curriculum Learning in Teacher-Student Networks

An Analytical Theory of Curriculum Learning in Teacher-Student Networks

15 June 2021
Luca Saglietti
Stefano Sarao Mannelli
Andrew M. Saxe
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Papers citing "An Analytical Theory of Curriculum Learning in Teacher-Student Networks"

15 / 15 papers shown
Title
A Computational Model of Inclusive Pedagogy: From Understanding to Application
A Computational Model of Inclusive Pedagogy: From Understanding to Application
Francesco Balzan
Pedro P. Santos
Maurizio Gabbrielli
Mahault Albarracin
Manuel Lopes
27
0
0
02 May 2025
Enlightenment Period Improving DNN Performance
Enlightenment Period Improving DNN Performance
Tiantian Liu
Weishi Xu
Meng Wan
Jue Wang
31
0
0
02 Apr 2025
The impact of allocation strategies in subset learning on the expressive power of neural networks
Ofir Schlisselberg
Ran Darshan
91
0
0
10 Feb 2025
Quantifying artificial intelligence through algebraic generalization
Quantifying artificial intelligence through algebraic generalization
Takuya Ito
Murray Campbell
L. Horesh
Tim Klinger
Parikshit Ram
ELM
48
0
0
08 Nov 2024
Human-inspired Perspectives: A Survey on AI Long-term Memory
Human-inspired Perspectives: A Survey on AI Long-term Memory
Zihong He
Weizhe Lin
Hao Zheng
Fan Zhang
Matt Jones
Laurence Aitchison
X. Xu
Miao Liu
Per Ola Kristensson
Junxiao Shen
77
2
0
01 Nov 2024
Optimal Protocols for Continual Learning via Statistical Physics and Control Theory
Optimal Protocols for Continual Learning via Statistical Physics and Control Theory
Francesco Mori
Stefano Sarao Mannelli
Francesca Mignacco
28
3
0
26 Sep 2024
Tilting the Odds at the Lottery: the Interplay of Overparameterisation
  and Curricula in Neural Networks
Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks
Stefano Sarao Mannelli
Yaraslau Ivashinka
Andrew M. Saxe
Luca Saglietti
37
2
0
03 Jun 2024
Meta-Learning Strategies through Value Maximization in Neural Networks
Meta-Learning Strategies through Value Maximization in Neural Networks
Rodrigo Carrasco-Davis
Javier Masís
Andrew M. Saxe
27
1
0
30 Oct 2023
Instruction Tuning with Human Curriculum
Instruction Tuning with Human Curriculum
Bruce W. Lee
Hyunsoo Cho
Kang Min Yoo
40
3
0
14 Oct 2023
Connecting NTK and NNGP: A Unified Theoretical Framework for Wide Neural Network Learning Dynamics
Connecting NTK and NNGP: A Unified Theoretical Framework for Wide Neural Network Learning Dynamics
Yehonatan Avidan
Qianyi Li
H. Sompolinsky
60
8
0
08 Sep 2023
A Quantitative Approach to Predicting Representational Learning and
  Performance in Neural Networks
A Quantitative Approach to Predicting Representational Learning and Performance in Neural Networks
Ryan Pyle
Sebastian Musslick
Jonathan D. Cohen
Ankit B. Patel
17
0
0
14 Jul 2023
Provable Advantage of Curriculum Learning on Parity Targets with Mixed
  Inputs
Provable Advantage of Curriculum Learning on Parity Targets with Mixed Inputs
Emmanuel Abbe
Elisabetta Cornacchia
Aryo Lotfi
28
11
0
29 Jun 2023
The RL Perceptron: Generalisation Dynamics of Policy Learning in High
  Dimensions
The RL Perceptron: Generalisation Dynamics of Policy Learning in High Dimensions
Nishil Patel
Sebastian Lee
Stefano Sarao Mannelli
Sebastian Goldt
Adrew Saxe
OffRL
28
3
0
17 Jun 2023
A Mathematical Model for Curriculum Learning for Parities
A Mathematical Model for Curriculum Learning for Parities
Elisabetta Cornacchia
Elchanan Mossel
34
10
0
31 Jan 2023
Maslow's Hammer for Catastrophic Forgetting: Node Re-Use vs Node
  Activation
Maslow's Hammer for Catastrophic Forgetting: Node Re-Use vs Node Activation
Sebastian Lee
Stefano Sarao Mannelli
Claudia Clopath
Sebastian Goldt
Andrew M. Saxe
CLL
42
12
0
18 May 2022
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