Pruning Filters for Efficient ConvNets

31 August 2016

Hao Li

Papers citing "Pruning Filters for Efficient ConvNets"

50 / 1,579 papers shown

Title
One-Shot Multi-Rate Pruning of Graph Convolutional Networks H. Sahbi 33 0 0 29 Dec 2023
Robust Neural Pruning with Gradient Sampling Optimization for Residual Neural Networks Juyoung Yun 24 1 0 26 Dec 2023
Hardware-Aware DNN Compression via Diverse Pruning and Mixed-Precision Quantization K. Balaskas Andreas Karatzas Christos Sad K. Siozios Iraklis Anagnostopoulos Georgios Zervakis Jörg Henkel MQ 41 10 0 23 Dec 2023
Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold Alireza Ganjdanesh Shangqian Gao Hirad Alipanah Heng-Chiao Huang GAN 32 6 0 22 Dec 2023
ElasticTrainer: Speeding Up On-Device Training with Runtime Elastic Tensor Selection Kai Huang Boyuan Yang Wei Gao 32 19 0 21 Dec 2023
Sparse Training for Federated Learning with Regularized Error Correction Ran Greidi Kobi Cohen FedML 35 1 0 21 Dec 2023
The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction Pratyusha Sharma Jordan T. Ash Dipendra Kumar Misra LRM 19 79 0 21 Dec 2023
Model-Based Control with Sparse Neural Dynamics Ziang Liu Genggeng Zhou Jeff He Tobia Marcucci Fei-Fei Li Jiajun Wu Yunzhu Li AI4CE 43 17 0 20 Dec 2023
SCoTTi: Save Computation at Training Time with an adaptive framework Ziyu Li Enzo Tartaglione Van-Tam Nguyen 42 0 0 19 Dec 2023
Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment Lingling Xu Haoran Xie S. J. Qin Xiaohui Tao F. Wang 62 137 0 19 Dec 2023
Continual Learning: Forget-free Winning Subnetworks for Video Representations Haeyong Kang Jaehong Yoon Sung Ju Hwang Chang D. Yoo CLL 44 2 0 19 Dec 2023
Gradient-based Parameter Selection for Efficient Fine-Tuning Zhi Zhang Qizhe Zhang Zijun Gao Renrui Zhang Ekaterina Shutova Shiji Zhou Shanghang Zhang 33 15 0 15 Dec 2023
OTOv3: Automatic Architecture-Agnostic Neural Network Training and Compression from Structured Pruning to Erasing Operators Tianyi Chen Tianyu Ding Zhihui Zhu Zeyu Chen HsiangTao Wu Ilya Zharkov Luming Liang 23 3 0 15 Dec 2023
Achelous++: Power-Oriented Water-Surface Panoptic Perception Framework on Edge Devices based on Vision-Radar Fusion and Pruning of Heterogeneous Modalities Runwei Guan Haocheng Zhao Shanliang Yao Ka Lok Man Xiaohui Zhu ... Yong Yue Jeremy S. Smith Eng Gee Lim Weiping Ding Yutao Yue 30 4 0 14 Dec 2023
DTL: Disentangled Transfer Learning for Visual Recognition Minghao Fu Ke Zhu Jianxin Wu 19 18 0 13 Dec 2023
Class-Aware Pruning for Efficient Neural Networks Mengnan Jiang Jingcun Wang Amro Eldebiky Xunzhao Yin Cheng Zhuo Ing-Chao Lin Grace Li Zhang AAML 27 7 0 10 Dec 2023
Sparse Multitask Learning for Efficient Neural Representation of Motor Imagery and Execution Hye-Bin Shin Kang Yin Seong-Whan Lee 17 0 0 10 Dec 2023
SlimSAM: 0.1% Data Makes Segment Anything Slim Zigeng Chen Gongfan Fang Xinyin Ma Xinchao Wang 41 13 0 08 Dec 2023
Accelerating Convolutional Neural Network Pruning via Spatial Aura Entropy Bogdan Musat Razvan Andonie 26 0 0 08 Dec 2023
Initializing Models with Larger Ones Zhiqiu Xu Yanjie Chen Kirill Vishniakov Yida Yin Zhiqiang Shen Trevor Darrell Lingjie Liu Zhuang Liu 43 17 0 30 Nov 2023
Towards Higher Ranks via Adversarial Weight Pruning Yuchuan Tian Hanting Chen Tianyu Guo Chao Xu Yunhe Wang 40 2 0 29 Nov 2023
LayerCollapse: Adaptive compression of neural networks Soheil Zibakhsh Shabgahi Mohammad Soheil Shariff F. Koushanfar AI4CE 25 1 0 29 Nov 2023
Filter-Pruning of Lightweight Face Detectors Using a Geometric Median Criterion Konstantinos Gkrispanis Nikolaos Gkalelis Vasileios Mezaris VLM CVBM 33 3 0 28 Nov 2023
Relationship between Model Compression and Adversarial Robustness: A Review of Current Evidence Svetlana Pavlitska Hannes Grolig J. Marius Zöllner AAML 27 3 0 27 Nov 2023
Experimental Analysis of Large-scale Learnable Vector Storage Compression Hailin Zhang Penghao Zhao Xupeng Miao Yingxia Shao Zirui Liu Tong Yang Bin Cui 34 11 0 27 Nov 2023
REDS: Resource-Efficient Deep Subnetworks for Dynamic Resource Constraints Francesco Corti Balz Maag Joachim Schauer U. Pferschy O. Saukh 49 2 0 22 Nov 2023
AdaptiveFL: Adaptive Heterogeneous Federated Learning for Resource-Constrained AIoT Systems Chentao Jia Ming Hu Zekai Chen Yanxin Yang Xiaofei Xie Yang Liu Mingsong Chen 37 7 0 22 Nov 2023
Archtree: on-the-fly tree-structured exploration for latency-aware pruning of deep neural networks Rémi Ouazan Reboul Edouard Yvinec Arnaud Dapogny Kévin Bailly 23 0 0 17 Nov 2023
Examining Modularity in Multilingual LMs via Language-Specialized Subnetworks Rochelle Choenni Ekaterina Shutova Daniel H Garrette 35 8 0 14 Nov 2023
Mitigating Backdoors within Deep Neural Networks in Data-limited Configuration Soroush Hashemifar Saeed Parsa Morteza Zakeri-Nasrabadi AAML 36 0 0 13 Nov 2023
AccEPT: An Acceleration Scheme for Speeding Up Edge Pipeline-parallel Training Yuhao Chen Yuxuan Yan Qianqian Yang Yuanchao Shu Shibo He Zhiguo Shi Jiming Chen 50 0 0 10 Nov 2023
Efficient Model-Based Deep Learning via Network Pruning and Fine-Tuning Chicago Y. Park Weijie Gan Zihao Zou Yuyang Hu Zhixin Sun Ulugbek S. Kamilov 22 0 0 03 Nov 2023
SparseByteNN: A Novel Mobile Inference Acceleration Framework Based on Fine-Grained Group Sparsity Haitao Xu Songwei Liu Yuyang Xu Shuai Wang Jiashi Li Chenqian Yan Liangqiang Li Lean Fu Xin Pan Fangmin Chen MQ 25 0 0 30 Oct 2023
Efficient IoT Inference via Context-Awareness Mohammad Mehdi Rastikerdar Jin Huang Shiwei Fang Hui Guan Deepak Ganesan 43 0 0 29 Oct 2023
Understanding Parameter Saliency via Extreme Value Theory Shuo Wang Issei Sato AAML FAtt 24 0 0 27 Oct 2023
E-Sparse: Boosting the Large Language Model Inference through Entropy-based N:M Sparsity Yun Li Lin Niu Xipeng Zhang Kai Liu Jianchen Zhu Zhanhui Kang MoE 40 11 0 24 Oct 2023
RefConv: Re-parameterized Refocusing Convolution for Powerful ConvNets Zhicheng Cai Xiaohan Ding Qiu Shen Xun Cao 35 19 0 16 Oct 2023
The Road to On-board Change Detection: A Lightweight Patch-Level Change Detection Network via Exploring the Potential of Pruning and Pooling Lihui Xue Zhihao Wang Xueqian Wang Gang Li 50 1 0 16 Oct 2023
Edge-InversionNet: Enabling Efficient Inference of InversionNet on Edge Devices Zhepeng Wang Isaacshubhanand Putla Weiwen Jiang Youzuo Lin 26 2 0 14 Oct 2023
Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs Yuxin Zhang Lirui Zhao Mingbao Lin Yunyun Sun Yiwu Yao Xingjia Han Jared Tanner Shiwei Liu Rongrong Ji SyDa 45 40 0 13 Oct 2023
Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning Mengzhou Xia Tianyu Gao Zhiyuan Zeng Danqi Chen 43 270 0 10 Oct 2023
Filter Pruning For CNN With Enhanced Linear Representation Redundancy Bojue Wang Chun-Xia Ma Bin Liu Nianbo Liu Jinqi Zhu 42 1 0 10 Oct 2023
SUBP: Soft Uniform Block Pruning for 1xN Sparse CNNs Multithreading Acceleration Jingyang Xiang Siqi Li Jun Chen Shipeng Bai Yukai Ma Guang Dai Yong-Jin Liu 29 1 0 10 Oct 2023
Extract-Transform-Load for Video Streams Ferdinand Kossmann Ziniu Wu Eugenie Lai Nesime Tatbul Lei Cao Tim Kraska Samuel Madden 16 13 0 07 Oct 2023
Can pruning make Large Language Models more efficient? Sia Gholami Marwan Omar 28 12 0 06 Oct 2023
Dynamic Shuffle: An Efficient Channel Mixture Method Kaijun Gong Zhuowen Yin Yushu Li K. Guo Xiangmin Xu 33 0 0 04 Oct 2023
SlowFormer: Universal Adversarial Patch for Attack on Compute and Energy Efficiency of Inference Efficient Vision Transformers K. Navaneet Soroush Abbasi Koohpayegani Essam Sleiman Hamed Pirsiavash AAML ViT 13 1 0 04 Oct 2023
Feather: An Elegant Solution to Effective DNN Sparsification Athanasios Glentis Georgoulakis George Retsinas Petros Maragos 32 0 0 03 Oct 2023
Faster and Accurate Neural Networks with Semantic Inference Sazzad Sayyed Jonathan D. Ashdown Francesco Restuccia 36 0 0 02 Oct 2023
RRR-Net: Reusing, Reducing, and Recycling a Deep Backbone Network Haozhe Sun Isabelle M Guyon F. Mohr Hedi Tabia CVBM 42 2 0 02 Oct 2023