Memory capacity of neural networks with threshold and ReLU activations

Memory capacity of neural networks with threshold and ReLU activations

20 January 2020

Roman Vershynin

Papers citing "Memory capacity of neural networks with threshold and ReLU activations"

18 / 18 papers shown

Title
Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks Jy-yong Sohn Dohyun Kwon Seoyeon An Kangwook Lee 30 0 0 01 Aug 2024
Fixed width treelike neural networks capacity analysis -- generic activations M. Stojnic 20 3 0 08 Feb 2024
$\emph{Lifted} RDT based capacity analysis of the 1-hidden layer treelike \emph{sign} perceptrons neural networks$ \emph{Lifted} RDT based capacity analysis of the 1-hidden layer treelike \emph{sign} perceptrons neural networks M. Stojnic 20 1 0 13 Dec 2023
Capacity of the treelike sign perceptrons neural networks with one hidden layer -- RDT based upper bounds M. Stojnic 16 4 0 13 Dec 2023
Memorization with neural nets: going beyond the worst case S. Dirksen Patrick Finke Martin Genzel 21 0 0 30 Sep 2023
Memorization Capacity of Multi-Head Attention in Transformers Sadegh Mahdavi Renjie Liao Christos Thrampoulidis 24 22 0 03 Jun 2023
Globally Optimal Training of Neural Networks with Threshold Activation Functions Tolga Ergen Halil Ibrahim Gulluk Jonathan Lacotte Mert Pilanci 60 8 0 06 Mar 2023
Task Discovery: Finding the Tasks that Neural Networks Generalize on Andrei Atanov Andrei Filatov Teresa Yeo Ajay Sohmshetty Amir Zamir OOD 38 10 0 01 Dec 2022
On the Optimal Memorization Power of ReLU Neural Networks Gal Vardi Gilad Yehudai Ohad Shamir 6 31 0 07 Oct 2021
Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers Colin Wei Yining Chen Tengyu Ma 8 87 0 28 Jul 2021
Provable Memorization via Deep Neural Networks using Sub-linear Parameters Sejun Park Jaeho Lee Chulhee Yun Jinwoo Shin FedML MDE 12 36 0 26 Oct 2020
Random Vector Functional Link Networks for Function Approximation on Manifolds Deanna Needell Aaron A. Nelson Rayan Saab Palina Salanevich Olov Schavemaker 8 28 0 30 Jul 2020
The Interpolation Phase Transition in Neural Networks: Memorization and Generalization under Lazy Training Andrea Montanari Yiqiao Zhong 20 95 0 25 Jul 2020
Universal Approximation Power of Deep Residual Neural Networks via Nonlinear Control Theory Paulo Tabuada Bahman Gharesifard 6 24 0 12 Jul 2020
Minimum Width for Universal Approximation Sejun Park Chulhee Yun Jaeho Lee Jinwoo Shin 25 121 0 16 Jun 2020
Approximation in shift-invariant spaces with deep ReLU neural networks Yunfei Yang Zhen Li Yang Wang 13 14 0 25 May 2020
Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology Quynh N. Nguyen Marco Mondelli ODL AI4CE 11 67 0 18 Feb 2020
NEU: A Meta-Algorithm for Universal UAP-Invariant Feature Representation Anastasis Kratsios Cody B. Hyndman OOD 9 17 0 31 Aug 2018