Dynamic Channel Pruning: Feature Boosting and Suppression

12 October 2018

Papers citing "Dynamic Channel Pruning: Feature Boosting and Suppression"

50 / 122 papers shown

Title
MTL-UE: Learning to Learn Nothing for Multi-Task Learning Yi Yu Song Xia Siyuan Yang Chenqi Kong Wenhan Yang Shijian Lu Yap-Peng Tan Alex Chichung Kot 46 0 0 08 May 2025
ORXE: Orchestrating Experts for Dynamically Configurable Efficiency Qingyuan Wang Guoxin Wang B. Cardiff Deepu John 38 0 0 07 May 2025
PROM: Prioritize Reduction of Multiplications Over Lower Bit-Widths for Efficient CNNs Lukas Meiner Jens Mehnert A. P. Condurache MQ 42 0 0 06 May 2025
Temporal Action Detection Model Compression by Progressive Block Drop Xiaoyong Chen Yong Guo Jiaming Liang Sitong Zhuang Runhao Zeng Xiping Hu 55 0 0 21 Mar 2025
Dynamic Cross-Modal Feature Interaction Network for Hyperspectral and LiDAR Data Classification Junyan Lin Feng Gap Lin Qi Junyu Dong Q. Du Xinbo Gao 44 0 0 10 Mar 2025
FGP: Feature-Gradient-Prune for Efficient Convolutional Layer Pruning Qingsong Lv Jiasheng Sun Sheng Zhou Xuzhi Zhang Liangcheng Li Yun Gao Sun Qiao Jie Song Jiajun Bu AAML 64 0 0 19 Nov 2024
Improving Knowledge Distillation in Transfer Learning with Layer-wise Learning Rates Shirley Kokane M. R. Uddin Min Xu 26 1 0 05 Jul 2024
Pick-or-Mix: Dynamic Channel Sampling for ConvNets Ashish Kumar Daneul Kim Jaesik Park Laxmidhar Behera 39 1 0 16 Jun 2024
Dynamic Semantic Compression for CNN Inference in Multi-access Edge Computing: A Graph Reinforcement Learning-based Autoencoder Nana Li Alexandros Iosifidis Qi Zhang 30 2 0 19 Jan 2024
Convolutional Neural Network Compression via Dynamic Parameter Rank Pruning Manish Sharma Jamison Heard Eli Saber Panos P. Markopoulos 31 1 0 15 Jan 2024
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 33 10 0 23 Dec 2023
Dynamic Shuffle: An Efficient Channel Mixture Method Kaijun Gong Zhuowen Yin Yushu Li K. Guo Xiangmin Xu 25 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
A Differentiable Framework for End-to-End Learning of Hybrid Structured Compression Moonjung Eo Suhyun Kang Wonjong Rhee 25 1 0 21 Sep 2023
Latency-aware Unified Dynamic Networks for Efficient Image Recognition Yizeng Han Zeyu Liu Zhihang Yuan Yifan Pu Chaofei Wang Shiji Song Gao Huang 21 22 0 30 Aug 2023
D-Score: A Synapse-Inspired Approach for Filter Pruning Doyoung Park Jinsoo Kim Ji-Min Nam Jooyoung Chang S. Park 14 0 0 08 Aug 2023
Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained Vision-Language Models Kecheng Zheng Wei Wu Ruili Feng Kai Zhu Jiawei Liu Deli Zhao Zhengjun Zha Wei Chen Yujun Shen VLM 24 8 0 27 Jul 2023
Divert More Attention to Vision-Language Object Tracking Mingzhe Guo Zhipeng Zhang Li Jing Haibin Ling Heng Fan VLM 37 3 0 19 Jul 2023
DyCL: Dynamic Neural Network Compilation Via Program Rewriting and Graph Optimization Simin Chen Shiyi Wei Cong Liu Wei Yang 14 6 0 11 Jul 2023
Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler Shaohui Lin Wenxuan Huang Jiao Xie Baochang Zhang Yunhang Shen Zhou Yu Jungong Han David Doermann 20 2 0 01 Jul 2023
Exploring Resolution Fields for Scalable Image Compression with Uncertainty Guidance Dongyi Zhang Feng Li Man Liu Runmin Cong H. Bai Hao Wu Yao-Min Zhao 26 7 0 15 Jun 2023
Referring Expression Comprehension Using Language Adaptive Inference Wei Su Peihan Miao Huanzhang Dou Yongjian Fu Xi Li ObjD 14 18 0 06 Jun 2023
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML M. Deutel G. Kontes Christopher Mutschler Jürgen Teich 49 0 0 23 May 2023
TIPS: Topologically Important Path Sampling for Anytime Neural Networks Guihong Li Kartikeya Bhardwaj Yuedong Yang R. Marculescu AAML 36 0 0 13 May 2023
Tensor Decomposition for Model Reduction in Neural Networks: A Review Xingyi Liu Keshab K. Parhi 25 12 0 26 Apr 2023
Boosting Convolutional Neural Networks with Middle Spectrum Grouped Convolution Z. Su Jiehua Zhang Tianpeng Liu Zhen Liu Shuanghui Zhang M. Pietikäinen Li Liu 27 2 0 13 Apr 2023
Progressive Channel-Shrinking Network Jianhong Pan Siyuan Yang Lin Geng Foo Qiuhong Ke Hossein Rahmani Zhipeng Fan Xiaozhong Liu 11 1 0 01 Apr 2023
Memorization Capacity of Neural Networks with Conditional Computation Erdem Koyuncu 32 4 0 20 Mar 2023
Unleashing the Potential of Spiking Neural Networks by Dynamic Confidence Chen Li Edward Jones Steve Furber 29 17 0 17 Mar 2023
Dynamic Structure Pruning for Compressing CNNs Jun-Hyung Park Yeachan Kim Junho Kim Joon-Young Choi SangKeun Lee GNN 11 15 0 17 Mar 2023
Mobiprox: Supporting Dynamic Approximate Computing on Mobiles Matevz Fabjancic O. Machidon Hashim Sharif Yifan Zhao Sasa Misailovic V. Pejović 24 2 0 16 Mar 2023
Structured Pruning for Deep Convolutional Neural Networks: A survey Yang He Lingao Xiao 3DPC 30 117 0 01 Mar 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 42 1 0 17 Feb 2023
A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques Wenbin Li Hakim Hacid Ebtesam Almazrouei Merouane Debbah 34 13 0 16 Feb 2023
Unifying Synergies between Self-supervised Learning and Dynamic Computation Tarun Krishna Ayush K. Rai Alexandru Drimbarean Eric Arazo Paul Albert Alan F. Smeaton Kevin McGuinness Noel E. O'Connor 24 0 0 22 Jan 2023
Pruning On-the-Fly: A Recoverable Pruning Method without Fine-tuning Danyang Liu Xue Liu 20 0 0 24 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 21 17 0 07 Dec 2022
ClassPruning: Speed Up Image Restoration Networks by Dynamic N:M Pruning Yang Zhou Yuda Song Hui Qian Xin Du VLM 28 1 0 10 Nov 2022
Dynamics-aware Adversarial Attack of Adaptive Neural Networks An Tao Yueqi Duan Yingqi Wang Jiwen Lu Jie Zhou AAML 24 4 0 15 Oct 2022
Lightweight Alpha Matting Network Using Distillation-Based Channel Pruning Donggeun Yoon Jinsun Park Donghyeon Cho 19 1 0 14 Oct 2022
Structural Pruning via Latency-Saliency Knapsack Maying Shen Hongxu Yin Pavlo Molchanov Lei Mao Jianna Liu J. Álvarez 37 47 0 13 Oct 2022
Revisiting Structured Dropout Yiren Zhao Oluwatomisin Dada Xitong Gao Robert D. Mullins BDL 16 2 0 05 Oct 2022
Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks Francesco Daghero Alessio Burrello Chen Xie Marco Castellano Luca Gandolfi A. Calimera Enrico Macii M. Poncino Daniele Jahier Pagliari BDL HAI 16 19 0 02 Sep 2022
Survey: Exploiting Data Redundancy for Optimization of Deep Learning Jou-An Chen Wei Niu Bin Ren Yanzhi Wang Xipeng Shen 23 24 0 29 Aug 2022
Efficient High-Resolution Deep Learning: A Survey Arian Bakhtiarnia Qi Zhang Alexandros Iosifidis MedIm 21 19 0 26 Jul 2022
Dynamic Channel Selection in Self-Supervised Learning Tarun Krishna Ayush K. Rai Y. A. D. Djilali Alan F. Smeaton Kevin McGuinness Noel E. O'Connor SSL 34 2 0 25 Jul 2022
SlimSeg: Slimmable Semantic Segmentation with Boundary Supervision Danna Xue Feiyu Yang Pei Wang Luis Herranz Jinqiu Sun Yu Zhu Yanning Zhang UQCV 32 6 0 13 Jul 2022
Divert More Attention to Vision-Language Tracking Mingzhe Guo Zhipeng Zhang Heng Fan Li Jing 29 53 0 03 Jul 2022
SATBench: Benchmarking the speed-accuracy tradeoff in object recognition by humans and dynamic neural networks Ajay Subramanian Sara A. Price Omkar Kumbhar E. Sizikova N. Majaj D. Pelli 25 1 0 16 Jun 2022
Structured Sparsity Learning for Efficient Video Super-Resolution Bin Xia Jingwen He Yulun Zhang Yitong Wang Yapeng Tian Wenming Yang Luc Van Gool 26 20 0 15 Jun 2022