Learning Efficient Convolutional Networks through Network Slimming

22 August 2017

Gao Huang

Papers citing "Learning Efficient Convolutional Networks through Network Slimming"

50 / 232 papers shown

Title
Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer Zhenrong Liu J. Huttunen M. Honkala CLL 49 0 0 13 May 2025
Spatial-Geometry Enhanced 3D Dynamic Snake Convolutional Neural Network for Hyperspectral Image Classification Guandong Li M. Ye 19 3 0 06 Apr 2025
FoCTTA: Low-Memory Continual Test-Time Adaptation with Focus Youbing Hu Yun Cheng Zimu Zhou Anqi Lu Zhiqiang Cao Zhijun Li TTA 59 0 0 28 Feb 2025
Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing Qi Le Enmao Diao Ziyan Wang Xinran Wang Jie Ding Li Yang Ali Anwar 69 1 0 24 Feb 2025
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries Chris Kolb T. Weber Bernd Bischl David Rügamer 109 0 0 04 Feb 2025
DCentNet: Decentralized Multistage Biomedical Signal Classification using Early Exits Xiaolin Li Binhua Huang B. Cardiff Deepu John 41 0 0 31 Jan 2025
Elucidating the Design Space of Dataset Condensation Shitong Shao Zikai Zhou Huanran Chen Zhiqiang Shen DD 54 7 0 20 Jan 2025
Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks Giulia Fracastoro Sophie M. Fosson Andrea Migliorati G. Calafiore 40 1 0 19 Jan 2025
Tailored-LLaMA: Optimizing Few-Shot Learning in Pruned LLaMA Models with Task-Specific Prompts Danyal Aftab Steven Davy ALM 49 0 0 10 Jan 2025
Pushing the Limits of Sparsity: A Bag of Tricks for Extreme Pruning Andy Li A. Durrant Milan Markovic Lu Yin Georgios Leontidis Tianlong Chen Lu Yin Georgios Leontidis 75 0 0 20 Nov 2024
Efficient Sparse Training with Structured Dropout Andy Lo BDL 28 0 0 02 Nov 2024
Self-Supervised State Space Model for Real-Time Traffic Accident Prediction Using eKAN Networks Xin Tan Meng Zhao 37 0 0 09 Sep 2024
MoDeGPT: Modular Decomposition for Large Language Model Compression Chi-Heng Lin Shangqian Gao James Seale Smith Abhishek Patel Shikhar Tuli Yilin Shen Hongxia Jin Yen-Chang Hsu 71 6 0 19 Aug 2024
Realizing Unaligned Block-wise Pruning for DNN Acceleration on Mobile Devices Hayun Lee Dongkun Shin MQ 23 0 0 29 Jul 2024
ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking Wenshuo Li Xinghao Chen Han Shu Yehui Tang Yunhe Wang MQ 31 2 0 17 Jun 2024
On the Rashomon ratio of infinite hypothesis sets Evzenie Coupkova Mireille Boutin 31 1 0 27 Apr 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
HeteGen: Heterogeneous Parallel Inference for Large Language Models on Resource-Constrained Devices Xuanlei Zhao Bin Jia Hao Zhou Ziming Liu Shenggan Cheng Yang You 19 4 0 02 Mar 2024
Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward Arnav Chavan Raghav Magazine Shubham Kushwaha M. Debbah Deepak Gupta 16 18 0 02 Feb 2024
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning Chu Myaet Thwal Minh N. H. Nguyen Ye Lin Tun Seongjin Kim My T. Thai Choong Seon Hong 49 5 0 22 Jan 2024
MaxQ: Multi-Axis Query for N:M Sparsity Network Jingyang Xiang Siqi Li Junhao Chen Zhuangzhi Chen Tianxin Huang Linpeng Peng Yong-Jin Liu 16 0 0 12 Dec 2023
One is More: Diverse Perspectives within a Single Network for Efficient DRL Yiqin Tan Ling Pan Longbo Huang OffRL 30 0 0 21 Oct 2023
How a student becomes a teacher: learning and forgetting through Spectral methods Lorenzo Giambagli L. Buffoni Lorenzo Chicchi Duccio Fanelli 19 7 0 19 Oct 2023
Highly Efficient SNNs for High-speed Object Detection Nemin Qiu Zhiguo Li Yuan Li Chuang Zhu 22 0 0 27 Sep 2023
Uncovering the Hidden Cost of Model Compression Diganta Misra Muawiz Chaudhary Agam Goyal Bharat Runwal Pin-Yu Chen VLM 33 0 0 29 Aug 2023
Neural Networks at a Fraction with Pruned Quaternions Sahel Mohammad Iqbal Subhankar Mishra 28 4 0 13 Aug 2023
Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks Jue Chen Huan Yuan Jianchao Tan Bin Chen Chengru Song Di Zhang 25 3 0 09 Aug 2023
Spatial-Spectral Hyperspectral Classification based on Learnable 3D Group Convolution Guandong Li M. Ye 28 6 0 15 Jul 2023
Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training Dario Lazzaro Antonio Emanuele Cinà Maura Pintor Ambra Demontis Battista Biggio Fabio Roli Marcello Pelillo 27 6 0 01 Jul 2023
A Simple and Effective Pruning Approach for Large Language Models Mingjie Sun Zhuang Liu Anna Bair J. Zico Kolter 56 353 0 20 Jun 2023
Group channel pruning and spatial attention distilling for object detection Yun Chu Pu Li Yong Bai Zhuhua Hu Yongqing Chen Jiafeng Lu VLM 24 13 0 02 Jun 2023
MadEye: Boosting Live Video Analytics Accuracy with Adaptive Camera Configurations M. Wong M. Ramanujam Guha Balakrishnan Ravi Netravali 29 4 0 04 Apr 2023
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer Xuanyao Chen Zhijian Liu Haotian Tang Li Yi Hang Zhao Song Han ViT 21 46 0 30 Mar 2023
Energy-efficient Task Adaptation for NLP Edge Inference Leveraging Heterogeneous Memory Architectures Zirui Fu Aleksandre Avaliani M. Donato 39 1 0 25 Mar 2023
Performance-aware Approximation of Global Channel Pruning for Multitask CNNs Hancheng Ye Bo-Wen Zhang Tao Chen Jiayuan Fan Bin Wang 24 18 0 21 Mar 2023
Knowledge Distillation from Single to Multi Labels: an Empirical Study Youcai Zhang Yuzhuo Qin Heng-Ye Liu Yanhao Zhang Yaqian Li X. Gu VLM 51 2 0 15 Mar 2023
SR-init: An interpretable layer pruning method Hui Tang Yao Lu Qi Xuan 15 8 0 14 Mar 2023
Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions Kaiqi Zhao Animesh Jain Ming Zhao 19 9 0 14 Mar 2023
Efficient Transformer-based 3D Object Detection with Dynamic Token Halting Mao Ye Gregory P. Meyer Yuning Chai Qiang Liu 32 8 0 09 Mar 2023
Balanced Training for Sparse GANs Yite Wang Jing Wu N. Hovakimyan Ruoyu Sun 32 9 0 28 Feb 2023
XploreNAS: Explore Adversarially Robust & Hardware-efficient Neural Architectures for Non-ideal Xbars Abhiroop Bhattacharjee Abhishek Moitra Priyadarshini Panda AAML 18 1 0 15 Feb 2023
EVC: Towards Real-Time Neural Image Compression with Mask Decay G. Wang Jiahao Li Bin Li Yan Lu 22 63 0 10 Feb 2023
Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers Sungmin Cha Sungjun Cho Dasol Hwang Honglak Lee Taesup Moon Moontae Lee MU 34 33 0 27 Jan 2023
Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning Athul Shibu Abhishek Kumar Heechul Jung Dong-Gyu Lee 9 1 0 26 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 32 20 0 12 Jan 2023
AdvMask: A Sparse Adversarial Attack Based Data Augmentation Method for Image Classification Suorong Yang Jinqiao Li Jian Zhao S. Furao AAML 25 6 0 29 Nov 2022
Yield Evaluation of Citrus Fruits based on the YoloV5 compressed by Knowledge Distillation Yuqi Li Yuting He Yihang Zhou Zirui Gong Ren-Jun Huang 14 0 0 16 Nov 2022
HFedMS: Heterogeneous Federated Learning with Memorable Data Semantics in Industrial Metaverse Shenglai Zeng Zonghang Li Hongfang Yu Zhihao Zhang Long Luo Bo-wen Li Dusit Niyato 32 42 0 07 Nov 2022
DAD vision: opto-electronic co-designed computer vision with division adjoint method Zihan Zang Hao Wang Yunpeng Xu 13 0 0 04 Nov 2022
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models Muyang Li Ji Lin Chenlin Meng Stefano Ermon Song Han Jun-Yan Zhu DiffM 32 45 0 03 Nov 2022