An Exponential Improvement on the Memorization Capacity of Deep
Threshold Networks

An Exponential Improvement on the Memorization Capacity of Deep Threshold Networks

14 June 2021

Shashank Rajput

Kartik K. Sreenivasan

Dimitris Papailiopoulos

Papers citing "An Exponential Improvement on the Memorization Capacity of Deep Threshold Networks"

11 / 11 papers shown

Title
Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks Jy-yong Sohn Dohyun Kwon Seoyeon An Kangwook Lee 56 0 0 01 Aug 2024
Memorization with neural nets: going beyond the worst case S. Dirksen Patrick Finke Martin Genzel 50 0 0 30 Sep 2023
Are Transformers with One Layer Self-Attention Using Low-Rank Weight Matrices Universal Approximators? T. Kajitsuka Issei Sato 41 16 0 26 Jul 2023
Memorization Capacity of Multi-Head Attention in Transformers Sadegh Mahdavi Renjie Liao Christos Thrampoulidis 31 23 0 03 Jun 2023
Memorization Capacity of Neural Networks with Conditional Computation Erdem Koyuncu 38 4 0 20 Mar 2023
Sharp Lower Bounds on Interpolation by Deep ReLU Neural Networks at Irregularly Spaced Data Jonathan W. Siegel 19 2 0 02 Feb 2023
How Does a Deep Learning Model Architecture Impact Its Privacy? A Comprehensive Study of Privacy Attacks on CNNs and Transformers Guangsheng Zhang B. Liu Huan Tian Tianqing Zhu Ming Ding Wanlei Zhou PILM MIACV 30 5 0 20 Oct 2022
Size and depth of monotone neural networks: interpolation and approximation Dan Mikulincer Daniel Reichman 28 7 0 12 Jul 2022
Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power Binghui Li Jikai Jin Han Zhong J. Hopcroft Liwei Wang OOD 87 27 0 27 May 2022
On the Optimal Memorization Power of ReLU Neural Networks Gal Vardi Gilad Yehudai Ohad Shamir 24 32 0 07 Oct 2021
VC dimension of partially quantized neural networks in the overparametrized regime Yutong Wang Clayton D. Scott 25 1 0 06 Oct 2021