Learning compositional functions via multiplicative weight updates

25 June 2020

Papers citing "Learning compositional functions via multiplicative weight updates"

9 / 9 papers shown

Title
Understanding Gradient Orthogonalization for Deep Learning via Non-Euclidean Trust-Region Optimization Dmitry Kovalev 57 0 0 16 Mar 2025
Analyzing and Improving the Training Dynamics of Diffusion Models Tero Karras M. Aittala J. Lehtinen Janne Hellsten Timo Aila S. Laine 33 155 0 05 Dec 2023
Multiplicative update rules for accelerating deep learning training and increasing robustness Manos Kirtas Nikolaos Passalis Anastasios Tefas AAML OOD 36 2 0 14 Jul 2023
The Lie-Group Bayesian Learning Rule E. M. Kıral Thomas Möllenhoff Mohammad Emtiyaz Khan BDL 17 2 0 08 Mar 2023
Adaptive Gradient Methods with Local Guarantees Zhou Lu Wenhan Xia Sanjeev Arora Elad Hazan ODL 24 9 0 02 Mar 2022
An Embedding of ReLU Networks and an Analysis of their Identifiability Pierre Stock Rémi Gribonval 31 17 0 20 Jul 2021
LNS-Madam: Low-Precision Training in Logarithmic Number System using Multiplicative Weight Update Jiawei Zhao Steve Dai Rangharajan Venkatesan Brian Zimmer Mustafa Ali Xuan Li Brucek Khailany B. Dally Anima Anandkumar MQ 33 13 0 26 Jun 2021
On the distance between two neural networks and the stability of learning Jeremy Bernstein Arash Vahdat Yisong Yue Xuan Li ODL 200 57 0 09 Feb 2020
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 331 1,049 0 10 Feb 2017