DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks

DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks

2 June 2022

Raghuraman Krishnamoorthi

Papers citing "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks"

17 / 17 papers shown

Title
Temporal Action Detection Model Compression by Progressive Block Drop Xiaoyong Chen Yong Guo Jiaming Liang Sitong Zhuang Runhao Zeng Xiping Hu 43 0 0 21 Mar 2025
Layer Pruning with Consensus: A Triple-Win Solution Leandro Giusti Mugnaini Carolina Tavares Duarte Anna H. Reali Costa Artur Jordao 61 0 0 21 Nov 2024
MINI-LLM: Memory-Efficient Structured Pruning for Large Language Models Hongrong Cheng Miao Zhang J. Q. Shi 39 2 0 16 Jul 2024
LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging Jinuk Kim Marwa El Halabi Mingi Ji Hyun Oh Song 29 0 0 18 Jun 2024
Structured Model Pruning for Efficient Inference in Computational Pathology Mohammed Adnan Qinle Ba Nazim Shaikh Shivam Kalra Satarupa Mukherjee A. Lorsakul MedIm 24 1 0 12 Apr 2024
UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer Ji Liu Dehua Tang Yuanxian Huang Li Lyna Zhang Xiaocheng Zeng ... Jinzhang Peng Yu-Chiang Frank Wang Fan Jiang Lu Tian Ashish Sirasao ViT 14 7 0 12 Jan 2024
LayerCollapse: Adaptive compression of neural networks Soheil Zibakhsh Shabgahi Mohammad Soheil Shariff F. Koushanfar AI4CE 14 1 0 29 Nov 2023
CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference Wenxuan Zeng Meng Li Haichuan Yang Wen-jie Lu Runsheng Wang Ru Huang 17 6 0 03 Nov 2023
TinyML Design Contest for Life-Threatening Ventricular Arrhythmia Detection Zhenge Jia Dawei Li Cong Liu Li-Shih Liao Xiaowei Xu Lichuan Ping Yiyu Shi 11 8 0 09 May 2023
Making Models Shallow Again: Jointly Learning to Reduce Non-Linearity and Depth for Latency-Efficient Private Inference Souvik Kundu Yuke Zhang Dake Chen P. Beerel 3DV 10 14 0 26 Apr 2023
ERSAM: Neural Architecture Search For Energy-Efficient and Real-Time Social Ambiance Measurement Chaojian Li Wenwan Chen Jiayi Yuan Yingyan Lin Ashutosh Sabharwal 23 0 0 19 Mar 2023
Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming Jinuk Kim Yeonwoo Jeong Deokjae Lee Hyun Oh Song 69 1 0 28 Jan 2023
Restructurable Activation Networks Kartikeya Bhardwaj James Ward Caleb Tung Dibakar Gope Lingchuan Meng Igor Fedorov A. Chalfin P. Whatmough Danny Loh 15 5 0 17 Aug 2022
RepVGG: Making VGG-style ConvNets Great Again Xiaohan Ding X. Zhang Ningning Ma Jungong Han Guiguang Ding Jian-jun Sun 117 1,484 0 11 Jan 2021
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
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,290 0 05 Nov 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