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Pruning Filters for Efficient ConvNets

31 August 2016

Hao Li

Papers citing "Pruning Filters for Efficient ConvNets"

50 / 1,596 papers shown

Title
Structured Pruning for Deep Convolutional Neural Networks: A survey Yang He Lingao Xiao 3DPC 116 143 0 01 Mar 2023
GRAN: Ghost Residual Attention Network for Single Image Super Resolution Axi Niu Pei Wang Yu Zhu Jinqiu Sun Qingsen Yan Yanning Zhang SupR 70 8 0 28 Feb 2023
Structured Pruning of Self-Supervised Pre-trained Models for Speech Recognition and Understanding Yifan Peng Kwangyoun Kim Felix Wu Prashant Sridhar Shinji Watanabe 86 39 0 27 Feb 2023
Considering Layerwise Importance in the Lottery Ticket Hypothesis Benjamin Vandersmissen José Oramas 76 1 0 22 Feb 2023
Learning a Consensus Sub-Network with Polarization Regularization and One Pass Training Xiaoying Zhi Varun Babbar P. Sun Fran Silavong Ruibo Shi Sean J. Moran Sean Moran 147 1 0 17 Feb 2023
WHC: Weighted Hybrid Criterion for Filter Pruning on Convolutional Neural Networks Shaowu Chen Weize Sun Lei Huang 51 10 0 16 Feb 2023
Stitchable Neural Networks Zizheng Pan Jianfei Cai Bohan Zhuang 102 25 0 13 Feb 2023
Less is More: Selective Layer Finetuning with SubTuning Gal Kaplun Andrey Gurevich Tal Swisa Mazor David Shai Shalev-Shwartz Eran Malach 78 9 0 13 Feb 2023
Bi-directional Masks for Efficient N:M Sparse Training Yuxin Zhang Yiting Luo Mingbao Lin Mingliang Xu Jingjing Xie Chia-Wen Lin Rongrong Ji 98 16 0 13 Feb 2023
EVC: Towards Real-Time Neural Image Compression with Mask Decay G. Wang Jiahao Li Bin Li Yan Lu 80 73 0 10 Feb 2023
Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models Mohammadreza Banaei Klaudia Bałazy Artur Kasymov R. Lebret Jacek Tabor Karl Aberer OffRL 45 0 0 08 Feb 2023
What Matters In The Structured Pruning of Generative Language Models? Michael Santacroce Zixin Wen Yelong Shen Yuan-Fang Li 81 34 0 07 Feb 2023
ZipLM: Inference-Aware Structured Pruning of Language Models Eldar Kurtic Elias Frantar Dan Alistarh MQ 101 26 0 07 Feb 2023
Ten Lessons We Have Learned in the New "Sparseland": A Short Handbook for Sparse Neural Network Researchers Shiwei Liu Zhangyang Wang 125 32 0 06 Feb 2023
STEP: Learning N:M Structured Sparsity Masks from Scratch with Precondition Yucheng Lu Shivani Agrawal Suvinay Subramanian Oleg Rybakov Chris De Sa Amir Yazdanbakhsh 68 20 0 02 Feb 2023
DepGraph: Towards Any Structural Pruning Gongfan Fang Xinyin Ma Mingli Song Michael Bi Mi Xinchao Wang GNN 172 274 0 30 Jan 2023
Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming Jinuk Kim Yeonwoo Jeong Deokjae Lee Hyun Oh Song 115 1 0 28 Jan 2023
Understanding INT4 Quantization for Transformer Models: Latency Speedup, Composability, and Failure Cases Xiaoxia Wu Cheng-rong Li Reza Yazdani Aminabadi Z. Yao Yuxiong He MQ 74 25 0 27 Jan 2023
Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers Sungmin Cha Sungjun Cho Dasol Hwang Honglak Lee Taesup Moon Moontae Lee MU 151 43 0 27 Jan 2023
BiBench: Benchmarking and Analyzing Network Binarization Haotong Qin Mingyuan Zhang Yifu Ding Aoyu Li Zhongang Cai Ziwei Liu Feng Yu Xianglong Liu MQ AAML 106 37 0 26 Jan 2023
Low-Rank Winograd Transformation for 3D Convolutional Neural Networks Ziran Qin Mingbao Lin Weiyao Lin 3DPC 77 3 0 26 Jan 2023
Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning Athul Shibu Abhishek Kumar Heechul Jung Dong-Gyu Lee 78 1 0 26 Jan 2023
Getting Away with More Network Pruning: From Sparsity to Geometry and Linear Regions Junyang Cai Khai-Nguyen Nguyen Nishant Shrestha Aidan Good Ruisen Tu Xin Yu Shandian Zhe Thiago Serra MLT 92 10 0 19 Jan 2023
HCE: Improving Performance and Efficiency with Heterogeneously Compressed Neural Network Ensemble Jingchi Zhang Huanrui Yang Hai Helen Li 42 1 0 18 Jan 2023
Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning Huan Wang Can Qin Yue Bai Yun Fu 103 21 0 12 Jan 2023
Interactive Control over Temporal Consistency while Stylizing Video Streams Sumit Shekhar M. Reimann Moritz Hilscher Amir Semmo Jürgen Döllner Matthias Trapp 72 1 0 02 Jan 2023
Publishing Efficient On-device Models Increases Adversarial Vulnerability Sanghyun Hong Nicholas Carlini Alexey Kurakin AAML 75 3 0 28 Dec 2022
COLT: Cyclic Overlapping Lottery Tickets for Faster Pruning of Convolutional Neural Networks Md. Ismail Hossain Mohammed Rakib M. M. L. Elahi Nabeel Mohammed Shafin Rahman 145 1 0 24 Dec 2022
Hyperspherical Quantization: Toward Smaller and More Accurate Models Dan Liu X. Chen Chen Ma Xue Liu MQ 63 3 0 24 Dec 2022
Pruning On-the-Fly: A Recoverable Pruning Method without Fine-tuning Danyang Liu Xue Liu 66 0 0 24 Dec 2022
High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate Surface Visual Quality Inspection Tailored for Real-World Manufacturing Environments Carol Xu M. Famouri Gautam Bathla M. Shafiee Alexander Wong 62 2 0 20 Dec 2022
Exploring Optimal Substructure for Out-of-distribution Generalization via Feature-targeted Model Pruning Yingchun Wang Jingcai Guo Song Guo Weizhan Zhang Jiewei Zhang OODD 103 17 0 19 Dec 2022
Training Lightweight Graph Convolutional Networks with Phase-field Models H. Sahbi 60 0 0 19 Dec 2022
Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale Hritik Bansal Karthik Gopalakrishnan Saket Dingliwal S. Bodapati Katrin Kirchhoff Dan Roth LRM 87 51 0 18 Dec 2022
Person Detection Using an Ultra Low-resolution Thermal Imager on a Low-cost MCU Maarten Vandersteegen Wouter Reusen Kristof Van Beeck Toon Goedemé 40 2 0 16 Dec 2022
Towards Hardware-Specific Automatic Compression of Neural Networks Torben Krieger Bernhard Klein Holger Fröning MQ 63 2 0 15 Dec 2022
CAT: Learning to Collaborate Channel and Spatial Attention from Multi-Information Fusion Zizhang Wu Man Wang Weiwei Sun Yuchen Li Tianhao Xu Fan Wang Keke Huang 110 4 0 13 Dec 2022
AI Model Utilization Measurements For Finding Class Encoding Patterns P. Bajcsy Antonio Cardone Chenyi Ling Philippe Dessauw Michael Majurski Timothy Blattner D. Juba Walid Keyrouz 48 0 0 12 Dec 2022
AP: Selective Activation for De-sparsifying Pruned Neural Networks Shiyu Liu Rohan Ghosh Dylan Tan Mehul Motani AAML 55 0 0 09 Dec 2022
Optimizing Learning Rate Schedules for Iterative Pruning of Deep Neural Networks Shiyu Liu Rohan Ghosh John Tan Chong Min Mehul Motani 77 0 0 09 Dec 2022
Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning Yingchun Wang Song Guo Jingcai Guo Weizhan Zhang Yi Tian Xu Jiewei Zhang Yi Liu 87 17 0 07 Dec 2022
Slimmable Pruned Neural Networks Hideaki Kuratsu Atsuyoshi Nakamura 99 2 0 07 Dec 2022
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge Yaxin Luopan Rui Han Qinglong Zhang Chi Harold Liu Guoren Wang FedML 165 19 0 04 Dec 2022
Are Straight-Through gradients and Soft-Thresholding all you need for Sparse Training? A. Vanderschueren Christophe De Vleeschouwer MQ 56 9 0 02 Dec 2022
Boosted Dynamic Neural Networks Haichao Yu Haoxiang Li G. Hua Gao Huang Humphrey Shi 103 8 0 30 Nov 2022
Feature-domain Adaptive Contrastive Distillation for Efficient Single Image Super-Resolution Hye-Min Moon Jinwoo Jeong Sungjei Kim 86 2 0 29 Nov 2022
LU decomposition and Toeplitz decomposition of a neural network Yucong Liu Simiao Jiao Lek-Heng Lim 49 7 0 25 Nov 2022
Embedding Compression for Text Classification Using Dictionary Screening Jing Zhou Xinru Jing Mu Liu Hansheng Wang 61 0 0 23 Nov 2022
Developmental Plasticity-inspired Adaptive Pruning for Deep Spiking and Artificial Neural Networks Bing Han Feifei Zhao Yi Zeng Guobin Shen 93 6 0 23 Nov 2022
Learning Low-Rank Representations for Model Compression Zezhou Zhu Yucong Zhou Zhaobai Zhong SSL MQ 64 3 0 21 Nov 2022