PENNI: Pruned Kernel Sharing for Efficient CNN Inference

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PENNI: Pruned Kernel Sharing for Efficient CNN Inference

International Conference on Machine Learning (ICML), 2024

14 May 2020

Yiran Chen

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Papers citing "PENNI: Pruned Kernel Sharing for Efficient CNN Inference"

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Title
Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System Strategies Xubin Wang Weijia Jia 226 15 0 08 Jan 2025
Don't Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs Christodoulos Kechris Jonathan Dan Jose Miranda David Atienza AI4TS 112 0 0 06 Aug 2024
A Tensor-based Convolutional Neural Network for Small Dataset Classification Zhenhua Chen David J. Crandall 89 0 0 29 Mar 2023
Towards Memory-Efficient Neural Networks via Multi-Level in situ Generation Jiaqi Gu Hanqing Zhu Chenghao Feng Mingjie Liu Zixuan Jiang Ray T. Chen David Z. Pan 96 4 0 25 Aug 2021
Dynamic Probabilistic Pruning: A general framework for hardware-constrained pruning at different granularities L. Gonzalez-Carabarin Iris A. M. Huijben Bastian Veeling A. Schmid Ruud J. G. van Sloun 84 13 0 26 May 2021
Toward Compact Deep Neural Networks via Energy-Aware Pruning Seul-Ki Yeom Kyung-Hwan Shim Jee-Hyun Hwang CVBM 121 14 0 19 Mar 2021