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Scaling Laws for Associative Memories

Scaling Laws for Associative Memories

4 October 2023
Vivien A. Cabannes
Elvis Dohmatob
A. Bietti
ArXivPDFHTML

Papers citing "Scaling Laws for Associative Memories"

6 / 6 papers shown
Title
Outlier-Efficient Hopfield Layers for Large Transformer-Based Models
Outlier-Efficient Hopfield Layers for Large Transformer-Based Models
Jerry Yao-Chieh Hu
Pei-Hsuan Chang
Haozheng Luo
Hong-Yu Chen
Weijian Li
Wei-Po Wang
Han Liu
39
26
0
04 Apr 2024
Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models
Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models
Dennis Wu
Jerry Yao-Chieh Hu
Teng-Yun Hsiao
Han Liu
40
28
0
04 Apr 2024
Noise Is Not the Main Factor Behind the Gap Between SGD and Adam on
  Transformers, but Sign Descent Might Be
Noise Is Not the Main Factor Behind the Gap Between SGD and Adam on Transformers, but Sign Descent Might Be
Frederik Kunstner
Jacques Chen
J. Lavington
Mark W. Schmidt
40
67
0
27 Apr 2023
Toy Models of Superposition
Toy Models of Superposition
Nelson Elhage
Tristan Hume
Catherine Olsson
Nicholas Schiefer
T. Henighan
...
Sam McCandlish
Jared Kaplan
Dario Amodei
Martin Wattenberg
C. Olah
AAML
MILM
125
318
0
21 Sep 2022
Learning Curve Theory
Learning Curve Theory
Marcus Hutter
137
58
0
08 Feb 2021
Scaling Laws for Neural Language Models
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
243
4,469
0
23 Jan 2020
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