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Associative Memory in Iterated Overparameterized Sigmoid Autoencoders

Associative Memory in Iterated Overparameterized Sigmoid Autoencoders

30 June 2020
Yibo Jiang
C. Pehlevan
ArXivPDFHTML

Papers citing "Associative Memory in Iterated Overparameterized Sigmoid Autoencoders"

8 / 8 papers shown
Title
Do LLMs dream of elephants (when told not to)? Latent concept
  association and associative memory in transformers
Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers
Yibo Jiang
Goutham Rajendran
Pradeep Ravikumar
Bryon Aragam
CLL
KELM
34
6
0
26 Jun 2024
How Much Training Data is Memorized in Overparameterized Autoencoders?
  An Inverse Problem Perspective on Memorization Evaluation
How Much Training Data is Memorized in Overparameterized Autoencoders? An Inverse Problem Perspective on Memorization Evaluation
Koren Abitbul
Yehuda Dar
TDI
20
2
0
04 Oct 2023
Birth of a Transformer: A Memory Viewpoint
Birth of a Transformer: A Memory Viewpoint
A. Bietti
Vivien A. Cabannes
Diane Bouchacourt
Hervé Jégou
Léon Bottou
21
81
0
01 Jun 2023
Autoencoder Attractors for Uncertainty Estimation
Autoencoder Attractors for Uncertainty Estimation
S. Cruz
B. Taetz
Thomas Stifter
D. Stricker
UQCV
36
9
0
01 Apr 2022
Second-order Symmetric Non-negative Latent Factor Analysis
Second-order Symmetric Non-negative Latent Factor Analysis
L. Li
Xin Luo
20
3
0
04 Mar 2022
Universal Hopfield Networks: A General Framework for Single-Shot
  Associative Memory Models
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models
Beren Millidge
Tommaso Salvatori
Yuhang Song
Thomas Lukasiewicz
Rafal Bogacz
VLM
24
52
0
09 Feb 2022
Topological properties of basins of attraction and expressiveness of
  width bounded neural networks
Topological properties of basins of attraction and expressiveness of width bounded neural networks
H. Beise
S. Cruz
11
0
0
10 Nov 2020
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural
  Networks
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks
Blake Bordelon
Abdulkadir Canatar
C. Pehlevan
144
201
0
07 Feb 2020
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