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Pruning Filters for Efficient ConvNets

31 August 2016

Hao Li

Papers citing "Pruning Filters for Efficient ConvNets"

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Title
Neural networks adapting to datasets: learning network size and topology R. Janik A. Nowak AI4CE 24 0 0 22 Jun 2020
Exploiting Weight Redundancy in CNNs: Beyond Pruning and Quantization Yuan Wen David Gregg MQ 34 3 0 22 Jun 2020
Paying more attention to snapshots of Iterative Pruning: Improving Model Compression via Ensemble Distillation Duong H. Le Vo Trung Nhan N. Thoai VLM 54 7 0 20 Jun 2020
Keep Your AI-es on the Road: Tackling Distracted Driver Detection with Convolutional Neural Networks and Targeted Data Augmentation Nikka Mofid Jasmine Bayrooti S. Ravi 35 6 0 19 Jun 2020
FrostNet: Towards Quantization-Aware Network Architecture Search Taehoon Kim Y. Yoo Jihoon Yang MQ 53 2 0 17 Jun 2020
Exploring Sparsity in Image Super-Resolution for Efficient Inference Longguang Wang Xiaoyu Dong Yingqian Wang Xinyi Ying Zaiping Lin W. An Yulan Guo SupR 59 4 0 17 Jun 2020
Cogradient Descent for Bilinear Optimization Lian Zhuo Baochang Zhang Linlin Yang Hanlin Chen QiXiang Ye David Doermann G. Guo Rongrong Ji 58 14 0 16 Jun 2020
Real-time Universal Style Transfer on High-resolution Images via Zero-channel Pruning Jie An Tao Li Haozhi Huang Li Shen Xuan Wang Yongyi Tang Jinwen Ma Wei Liu Jiebo Luo 3DH 3DPC 93 18 0 16 Jun 2020
Now that I can see, I can improve: Enabling data-driven finetuning of CNNs on the edge A. Rajagopal C. Bouganis 51 5 0 15 Jun 2020
Finding trainable sparse networks through Neural Tangent Transfer Tianlin Liu Friedemann Zenke 70 35 0 15 Jun 2020
Optimal Lottery Tickets via SubsetSum: Logarithmic Over-Parameterization is Sufficient Ankit Pensia Shashank Rajput Alliot Nagle Harit Vishwakarma Dimitris Papailiopoulos 64 104 0 14 Jun 2020
Multigrid-in-Channels Architectures for Wide Convolutional Neural Networks Jonathan Ephrath Lars Ruthotto Eran Treister 52 1 0 11 Jun 2020
A Tailored Convolutional Neural Network for Nonlinear Manifold Learning of Computational Physics Data using Unstructured Spatial Discretizations John Tencer Kevin Potter AI4CE 61 13 0 11 Jun 2020
Adjoined Networks: A Training Paradigm with Applications to Network Compression Utkarsh Nath Shrinu Kushagra Yingzhen Yang 56 2 0 10 Jun 2020
Condensing Two-stage Detection with Automatic Object Key Part Discovery Zhe Chen Jing Zhang Dacheng Tao 21 0 0 10 Jun 2020
Deeply Shared Filter Bases for Parameter-Efficient Convolutional Neural Networks Woochul Kang Daeyeon Kim 38 2 0 09 Jun 2020
A Framework for Neural Network Pruning Using Gibbs Distributions Alex Labach S. Valaee 33 5 0 08 Jun 2020
EDCompress: Energy-Aware Model Compression for Dataflows Zhehui Wang Yaoyu Zhang Qiufeng Wang Rick Siow Mong Goh 52 2 0 08 Jun 2020
Differentiable Neural Input Search for Recommender Systems Weiyu Cheng Yanyan Shen Linpeng Huang 73 36 0 08 Jun 2020
Novel Adaptive Binary Search Strategy-First Hybrid Pyramid- and Clustering-Based CNN Filter Pruning Method without Parameters Setting K. Chung Yu-Lun Chang Bo-Wei Tsai 27 0 0 08 Jun 2020
EDropout: Energy-Based Dropout and Pruning of Deep Neural Networks Hojjat Salehinejad S. Valaee 57 47 0 07 Jun 2020
MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles Zhennan Wang Canqun Xiang Wenbin Zou Chen Xu 100 19 0 06 Jun 2020
Scientific Calculator for Designing Trojan Detectors in Neural Networks P. Bajcsy N. Schaub Michael Majurski 20 0 0 05 Jun 2020
Accelerating Natural Language Understanding in Task-Oriented Dialog Ojas Ahuja Shrey Desai VLM 20 1 0 05 Jun 2020
An Overview of Neural Network Compression James OÑeill AI4CE 160 100 0 05 Jun 2020
Shapley Value as Principled Metric for Structured Network Pruning Marco Ancona Cengiz Öztireli Markus Gross 64 9 0 02 Jun 2020
Pruning via Iterative Ranking of Sensitivity Statistics Stijn Verdenius M. Stol Patrick Forré AAML 82 38 0 01 Jun 2020
CoDiNet: Path Distribution Modeling with Consistency and Diversity for Dynamic Routing Huanyu Wang Zequn Qin Songyuan Li Xi Li 51 7 0 29 May 2020
Exploiting Non-Linear Redundancy for Neural Model Compression Muhammad Ahmed Shah R. Olivier Bhiksha Raj 20 2 0 28 May 2020
A Feature-map Discriminant Perspective for Pruning Deep Neural Networks Zejiang Hou S. Kung 35 5 0 28 May 2020
PruneNet: Channel Pruning via Global Importance A. Khetan Zohar Karnin 40 11 0 22 May 2020
Position-based Scaled Gradient for Model Quantization and Pruning Jangho Kim Kiyoon Yoo Nojun Kwak MQ 38 7 0 22 May 2020
Feature Statistics Guided Efficient Filter Pruning Hang Li Chen Ma Wenyuan Xu Xue Liu 49 34 0 21 May 2020
Learning from a Lightweight Teacher for Efficient Knowledge Distillation Yuang Liu Wei Zhang Jun Wang 41 3 0 19 May 2020
Joint Multi-Dimension Pruning via Numerical Gradient Update Zechun Liu Xinming Zhang Zhiqiang Shen Zhe Li Yichen Wei Kwang-Ting Cheng Jian Sun 76 19 0 18 May 2020
Sparse Mixture of Local Experts for Efficient Speech Enhancement Aswin Sivaraman Minje Kim MoE 59 13 0 16 May 2020
MicroNet for Efficient Language Modeling Zhongxia Yan Hanrui Wang Demi Guo Song Han 62 8 0 16 May 2020
A flexible, extensible software framework for model compression based on the LC algorithm Yerlan Idelbayev Miguel Á. Carreira-Perpiñán 17 9 0 15 May 2020
PENNI: Pruned Kernel Sharing for Efficient CNN Inference Shiyu Li Edward Hanson H. Li Yiran Chen 48 19 0 14 May 2020
Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers Junjie Liu Zhe Xu Runbin Shi R. Cheung Hayden Kwok-Hay So 62 121 0 14 May 2020
RSO: A Gradient Free Sampling Based Approach For Training Deep Neural Networks Rohun Tripathi Bharat Singh 40 6 0 12 May 2020
schuBERT: Optimizing Elements of BERT A. Khetan Zohar Karnin 86 30 0 09 May 2020
Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey Jiayi Liu S. Tripathi Unmesh Kurup Mohak Shah 3DPC MedIm 71 52 0 08 May 2020
SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation Yang Zhao Xiaohan Chen Yue Wang Chaojian Li Haoran You Y. Fu Yuan Xie Zhangyang Wang Yingyan Lin MQ 107 43 0 07 May 2020
DMCP: Differentiable Markov Channel Pruning for Neural Networks Shaopeng Guo Yujie Wang Quanquan Li Junjie Yan 65 166 0 07 May 2020
TIRAMISU: A Polyhedral Compiler for Dense and Sparse Deep Learning Riyadh Baghdadi Abdelkader Nadir Debbagh K. Abdous Fatima-Zohra Benhamida Alex Renda Jonathan Frankle Michael Carbin Saman P. Amarasinghe 62 18 0 07 May 2020
Dependency Aware Filter Pruning Kai Zhao Xinyu Zhang Qi Han Ming-Ming Cheng 28 3 0 06 May 2020
AIBench Scenario: Scenario-distilling AI Benchmarking Wanling Gao Fei Tang Jianfeng Zhan Xu Wen Lei Wang Zheng Cao Chuanxin Lan Chunjie Luo Xiaoli Liu Zihan Jiang 63 14 0 06 May 2020
NTIRE 2020 Challenge on Image and Video Deblurring Seungjun Nah Sanghyun Son Radu Timofte Kyoung Mu Lee 107 32 0 04 May 2020
Importance Driven Continual Learning for Segmentation Across Domains S. Özgün Anne-Marie Rickmann Abhijit Guha Roy Christian Wachinger OOD CLL 57 33 0 30 Apr 2020