Toward Large Kernel Models

6 February 2023

Papers citing "Toward Large Kernel Models"

10 / 10 papers shown

Title
Joker: Joint Optimization Framework for Lightweight Kernel Machines Junhong Zhang Zhihui Lai 40 0 0 23 May 2025
Optimal Kernel Quantile Learning with Random Features Caixing Wang Xingdong Feng 80 1 0 24 Aug 2024
Transition to Linearity of General Neural Networks with Directed Acyclic Graph Architecture Libin Zhu Chaoyue Liu M. Belkin GNN AI4CE 36 4 0 24 May 2022
On the Similarity between the Laplace and Neural Tangent Kernels Amnon Geifman A. Yadav Yoni Kasten Meirav Galun David Jacobs Ronen Basri 99 93 0 03 Jul 2020
Evaluation of Neural Architectures Trained with Square Loss vs Cross-Entropy in Classification Tasks Like Hui M. Belkin UQCV AAML VLM 46 170 0 12 Jun 2020
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 483 4,662 0 23 Jan 2020
Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks Sanjeev Arora S. Du Zhiyuan Li Ruslan Salakhutdinov Ruosong Wang Dingli Yu AAML 55 162 0 03 Oct 2019
The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning Siyuan Ma Raef Bassily M. Belkin 60 289 0 18 Dec 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 201 8,807 0 25 Aug 2017
NYTRO: When Subsampling Meets Early Stopping Tomás Angles Raffaello Camoriano Alessandro Rudi Lorenzo Rosasco 49 32 0 19 Oct 2015