MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters

7 November 2023

Papers citing "MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters"

4 / 4 papers shown

Title
MoMa: A Modular Deep Learning Framework for Material Property Prediction Botian Wang Y. Ouyang Yaohui Li Yansen Wang Haorui Cui Jianbing Zhang Xiaonan Wang Wei-Ying Ma Hao Zhou 49 0 0 21 Feb 2025
Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks Lemeng Wu Bo Liu Peter Stone Qiang Liu 59 55 0 17 Feb 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks Torsten Hoefler Dan Alistarh Tal Ben-Nun Nikoli Dryden Alexandra Peste MQ 141 684 0 31 Jan 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016