LAPP: Layer Adaptive Progressive Pruning for Compressing CNNs from Scratch

25 September 2023

Papers citing "LAPP: Layer Adaptive Progressive Pruning for Compressing CNNs from Scratch"

9 / 9 papers shown

Title
BackSlash: Rate Constrained Optimized Training of Large Language Models Jun Wu Jiangtao Wen Yuxing Han 29 0 0 23 Apr 2025
Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks Jierun Chen Shiu-hong Kao Hao He Weipeng Zhuo Song Wen Chul-Ho Lee Shueng-Han Gary Chan OOD 27 679 0 07 Mar 2023
A Generalized Zero-Shot Quantization of Deep Convolutional Neural Networks via Learned Weights Statistics Prasen Kumar Sharma Arun Abraham V. N. Rajendiran MQ 17 6 0 06 Dec 2021
Prune Your Model Before Distill It Jinhyuk Park Albert No VLM 31 27 0 30 Sep 2021
Learning Student-Friendly Teacher Networks for Knowledge Distillation D. Park Moonsu Cha C. Jeong Daesin Kim Bohyung Han 113 99 0 12 Feb 2021
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression Yawei Li Shuhang Gu Christoph Mayer Luc Van Gool Radu Timofte 117 186 0 19 Mar 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,214 0 17 Apr 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 244 35,884 0 25 Aug 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014