Kernel Memory Networks: A Unifying Framework for Memory Modeling

19 August 2022

Papers citing "Kernel Memory Networks: A Unifying Framework for Memory Modeling"

10 / 10 papers shown

Title
Kernel Logistic Regression Learning for High-Capacity Hopfield Networks Akira Tamamori 31 2 0 10 Apr 2025
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models Beren Millidge Tommaso Salvatori Yuhang Song Thomas Lukasiewicz Rafal Bogacz VLM 31 52 0 09 Feb 2022
Attention Approximates Sparse Distributed Memory Trenton Bricken Cengiz Pehlevan 57 34 0 10 Nov 2021
Fast Margin Maximization via Dual Acceleration Ziwei Ji Nathan Srebro Matus Telgarsky 26 38 0 01 Jul 2021
Support vector machines and linear regression coincide with very high-dimensional features Navid Ardeshir Clayton Sanford Daniel J. Hsu 24 21 0 28 May 2021
Deep Neural Tangent Kernel and Laplace Kernel Have the Same RKHS Lin Chen Sheng Xu 107 94 0 22 Sep 2020
Hopfield Networks is All You Need Hubert Ramsauer Bernhard Schafl Johannes Lehner Philipp Seidl Michael Widrich ... David P. Kreil Michael K Kopp Günter Klambauer Johannes Brandstetter Sepp Hochreiter 52 424 0 16 Jul 2020
Transformer Dissection: A Unified Understanding of Transformer's Attention via the Lens of Kernel Yao-Hung Hubert Tsai Shaojie Bai M. Yamada Louis-Philippe Morency Ruslan Salakhutdinov 81 251 0 30 Aug 2019
Convergence of Gradient Descent on Separable Data Mor Shpigel Nacson Jason D. Lee Suriya Gunasekar Pedro H. P. Savarese Nathan Srebro Daniel Soudry 47 167 0 05 Mar 2018
Memory Networks Jason Weston S. Chopra Antoine Bordes GNN KELM 107 1,702 0 15 Oct 2014