Dynamic Probabilistic Pruning: A general framework for hardware-constrained pruning at different granularities

26 May 2021

Papers citing "Dynamic Probabilistic Pruning: A general framework for hardware-constrained pruning at different granularities"

4 / 4 papers shown

Title
A Comprehensive Study of Structural Pruning for Vision Models Haoling Li Haoling Li Mengqi Xue Gongfan Fang Sheng Zhou Zunlei Feng Huiqiong Wang Mingli Song Lechao Cheng VLM 39 0 0 18 Jun 2024
Fully Automatic Neural Network Reduction for Formal Verification Tobias Ladner Matthias Althoff AAML 66 4 0 03 May 2023
Structured Pruning for Deep Convolutional Neural Networks: A survey Yang He Lingao Xiao 3DPC 116 141 0 01 Mar 2023
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning Iris A. M. Huijben W. Kool Max B. Paulus Ruud J. G. van Sloun 113 99 0 04 Oct 2021