OTOV2: Automatic, Generic, User-Friendly

OTOV2: Automatic, Generic, User-Friendly

13 March 2023

Tianyi Chen

Papers citing "OTOV2: Automatic, Generic, User-Friendly"

9 / 9 papers shown

Title
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 75 1 0 11 Sep 2024
Isomorphic Pruning for Vision Models Gongfan Fang Xinyin Ma Michael Bi Mi Xinchao Wang VLM ViT 34 6 0 05 Jul 2024
ONNXPruner: ONNX-Based General Model Pruning Adapter Dongdong Ren Wenbin Li Tianyu Ding Lei Wang Qi Fan Jing Huo Hongbing Pan Yang Gao 29 3 0 10 Apr 2024
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression Yawei Li Shuhang Gu Christoph Mayer Luc Van Gool Radu Timofte 123 189 0 19 Mar 2020
Highly Efficient Salient Object Detection with 100K Parameters Shanghua Gao Yong-qiang Tan Ming-Ming Cheng Chengze Lu Yunpeng Chen Shuicheng Yan 231 168 0 12 Mar 2020
Comparing Rewinding and Fine-tuning in Neural Network Pruning Alex Renda Jonathan Frankle Michael Carbin 224 382 0 05 Mar 2020
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 128 498 0 24 Apr 2018
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 252 36,362 0 25 Aug 2016
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 84 736 0 19 Mar 2014