DepGraph: Towards Any Structural Pruning

DepGraph: Towards Any Structural Pruning

30 January 2023

Papers citing "DepGraph: Towards Any Structural Pruning"

11 / 11 papers shown

Title
Knowledge Distillation for Speech Denoising by Latent Representation Alignment with Cosine Distance Diep Luong Mikko Heikkinen K. Drossos Tuomas Virtanen 21 0 0 06 May 2025
Study on Real-Time Road Surface Reconstruction Using Stereo Vision D. Ghimire Byoungjun Kim Donghoon Kim SungHwan Jeong 3DV 46 0 0 25 Apr 2025
HESSO: Towards Automatic Efficient and User Friendly Any Neural Network Training and Pruning Tianyi Chen Xiaoyi Qu David Aponte Colby R. Banbury Jongwoo Ko Tianyu Ding Yong Ma Vladimir Lyapunov Ilya Zharkov Luming Liang 31 0 0 11 Sep 2024
Dataset Distillation via Factorization Songhua Liu Kai Wang Xingyi Yang Jingwen Ye Xinchao Wang DD 113 115 0 30 Oct 2022
Joint-DetNAS: Upgrade Your Detector with NAS, Pruning and Dynamic Distillation Lewei Yao Renjie Pi Hang Xu Wei Zhang Zhenguo Li Tong Zhang 58 35 0 27 May 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 102 508 0 24 Jan 2021
Distilling Knowledge from Graph Convolutional Networks Yiding Yang Jiayan Qiu Mingli Song Dacheng Tao Xinchao Wang 126 200 0 23 Mar 2020
Comparing Rewinding and Fine-tuning in Neural Network Pruning Alex Renda Jonathan Frankle Michael Carbin 212 354 0 05 Mar 2020
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications Tien-Ju Yang Andrew G. Howard Bo Chen Xiao Zhang Alec Go Mark Sandler Vivienne Sze Hartwig Adam 65 485 0 09 Apr 2018
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 250 6,278 0 16 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 222 9,849 0 25 Aug 2016