EIE: Efficient Inference Engine on Compressed Deep Neural Network

4 February 2016

Song Han

Papers citing "EIE: Efficient Inference Engine on Compressed Deep Neural Network"

50 / 322 papers shown

Title
Event-Based Eye Tracking. 2025 Event-based Vision Workshop Qinyu Chen Chang Gao Min Liu Daniele Perrone Yan Ru Pei ... Hoang M. Truong Vinh-Thuan Ly Huy G. Tran Thuan-Phat Nguyen Tram T. Doan 46 1 0 25 Apr 2025
A 71.2- $μ$ W Speech Recognition Accelerator with Recurrent Spiking Neural Network Chih-Chyau Yang Tian-Sheuan Chang 73 1 0 27 Mar 2025
Reservoir Network with Structural Plasticity for Human Activity Recognition Abdullah M. Zyarah Alaa M. Abdul-Hadi Dhireesha Kudithipudi 31 3 0 01 Mar 2025
Advancing Weight and Channel Sparsification with Enhanced Saliency Xinglong Sun Maying Shen Hongxu Yin Lei Mao Pavlo Molchanov Jose M. Alvarez 60 1 0 05 Feb 2025
LUT-DLA: Lookup Table as Efficient Extreme Low-Bit Deep Learning Accelerator Guoyu Li Shengyu Ye Chong Chen Yang Wang Fan Yang Ting Cao Cheng Liu Mohamed M. Sabry Mao Yang MQ 201 0 0 18 Jan 2025
DPD-NeuralEngine: A 22-nm 6.6-TOPS/W/mm $^2$ Recurrent Neural Network Accelerator for Wideband Power Amplifier Digital Pre-Distortion Ang Li Haolin Wu Yizhuo Wu Qinyu Chen Leo C. N. de Vreede Chang Gao 31 0 0 15 Oct 2024
Accumulator-Aware Post-Training Quantization Ian Colbert Fabian Grob Giuseppe Franco Jinjie Zhang Rayan Saab MQ 37 4 0 25 Sep 2024
Structured Pruning for Efficient Visual Place Recognition Oliver Grainge Michael Milford Indu Bodala Sarvapali D. Ramchurn Shoaib Ehsan 51 1 0 12 Sep 2024
Quality Scalable Quantization Methodology for Deep Learning on Edge S. Khaliq Rehan Hafiz MQ 53 1 0 15 Jul 2024
Learning-Based Heavy Hitters and Flow Frequency Estimation in Streams Rana Shahout Michael Mitzenmacher 25 2 0 24 Jun 2024
A Generic Layer Pruning Method for Signal Modulation Recognition Deep Learning Models Yao Lu Yutao Zhu Yuqi Li Dongwei Xu Yun Lin Qi Xuan Xiaoniu Yang 39 5 0 12 Jun 2024
ReDistill: Residual Encoded Distillation for Peak Memory Reduction of CNNs Fang Chen Gourav Datta Mujahid Al Rafi Hyeran Jeon Meng Tang 93 1 0 06 Jun 2024
$Dual sparse training framework: inducing activation map sparsity via Transformed $\ell1$ regularization$ Dual sparse training framework: inducing activation map sparsity via Transformed $\ell1$ regularization Xiaolong Yu Cong Tian 56 0 0 30 May 2024
Neural Network Compression for Reinforcement Learning Tasks Dmitry A. Ivanov D. Larionov Oleg V. Maslennikov V. Voevodin OffRL AI4CE 55 0 0 13 May 2024
Iterative Filter Pruning for Concatenation-based CNN Architectures Svetlana Pavlitska Oliver Bagge Federico Nicolás Peccia Toghrul Mammadov J. Marius Zöllner VLM 3DPC 48 2 0 04 May 2024
Rapid Deployment of DNNs for Edge Computing via Structured Pruning at Initialization Bailey J. Eccles Leon Wong Blesson Varghese 41 2 0 22 Apr 2024
A 1.6-mW Sparse Deep Learning Accelerator for Speech Separation Chih-Chyau Yang Tian-Sheuan Chang 31 0 0 15 Dec 2023
Accelerating Convolutional Neural Network Pruning via Spatial Aura Entropy Bogdan Musat Razvan Andonie 26 0 0 08 Dec 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
YFlows: Systematic Dataflow Exploration and Code Generation for Efficient Neural Network Inference using SIMD Architectures on CPUs Cyrus Zhou Zack Hassman Ruize Xu Dhirpal Shah Vaughn Richard Yanjing Li 37 1 0 01 Oct 2023
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications Vasileios Leon Muhammad Abdullah Hanif Giorgos Armeniakos Xun Jiao Mohamed Bennai K. Pekmestzi Dimitrios Soudris 44 3 0 20 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 43 7 0 01 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 30 2 0 01 Jul 2023
Group channel pruning and spatial attention distilling for object detection Yun Chu Pu Li Yong Bai Zhuhua Hu Yongqing Chen Jiafeng Lu VLM 31 13 0 02 Jun 2023
SPADE: Sparse Pillar-based 3D Object Detection Accelerator for Autonomous Driving Minjae Lee Seongmin Park Hyung-Se Kim Minyong Yoon Jangwhan Lee Junwon Choi Nam Sung Kim Mingu Kang Jungwook Choi 3DPC 26 5 0 12 May 2023
Towards Carbon-Neutral Edge Computing: Greening Edge AI by Harnessing Spot and Future Carbon Markets Huirong Ma Zhi Zhou Xiaoxi Zhang Xu Chen 18 12 0 22 Apr 2023
Tensor Slicing and Optimization for Multicore NPUs R. Sousa M. Pereira Yongin Kwon Taeho Kim Namsoon Jung Chang Soo Kim Michael Frank Guido Araujo 32 5 0 06 Apr 2023
Competitive plasticity to reduce the energetic costs of learning Mark C. W. van Rossum 18 2 0 04 Apr 2023
$Physics-aware Roughness Optimization for Diffractive Optical Neural Networks$ Physics-aware Roughness Optimization for Diffractive Optical Neural Networks Shangli Zhou Yingjie Li Minhan Lou Weilu Gao Zhijie Shi Cunxi Yu Caiwen Ding 35 2 0 04 Apr 2023
Low Rank Optimization for Efficient Deep Learning: Making A Balance between Compact Architecture and Fast Training Xinwei Ou Zhangxin Chen Ce Zhu Yipeng Liu 41 4 0 22 Mar 2023
SR-init: An interpretable layer pruning method Hui Tang Yao Lu Qi Xuan 20 9 0 14 Mar 2023
Full Stack Optimization of Transformer Inference: a Survey Sehoon Kim Coleman Hooper Thanakul Wattanawong Minwoo Kang Ruohan Yan ... Qijing Huang Kurt Keutzer Michael W. Mahoney Y. Shao A. Gholami MQ 41 102 0 27 Feb 2023
Workload-Balanced Pruning for Sparse Spiking Neural Networks Ruokai Yin Youngeun Kim Yuhang Li Abhishek Moitra Nitin Satpute Anna Hambitzer Priyadarshini Panda 42 20 0 13 Feb 2023
SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks Mahdi Nikdan Tommaso Pegolotti Eugenia Iofinova Eldar Kurtic Dan Alistarh 31 11 0 09 Feb 2023
$$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks$ $\rm A^2Q$ : Aggregation-Aware Quantization for Graph Neural Networks Zeyu Zhu Fanrong Li Zitao Mo Qinghao Hu Gang Li Zejian Liu Xiaoyao Liang Jian Cheng GNN MQ 42 4 0 01 Feb 2023
Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning Athul Shibu Abhishek Kumar Heechul Jung Dong-Gyu Lee 19 1 0 26 Jan 2023
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators Min-hee Yoo Jaeyong Song Hyeyoon Lee Jounghoo Lee Namhyung Kim Youngsok Kim Jinho Lee GNN 50 5 0 24 Jan 2023
A Theory of I/O-Efficient Sparse Neural Network Inference Niels Gleinig Tal Ben-Nun Torsten Hoefler 33 0 0 03 Jan 2023
FSCNN: A Fast Sparse Convolution Neural Network Inference System Bo Ji Tianyi Chen 28 3 0 17 Dec 2022
Algorithm and Hardware Co-Design of Energy-Efficient LSTM Networks for Video Recognition with Hierarchical Tucker Tensor Decomposition Yu Gong Miao Yin Lingyi Huang Chunhua Deng Yang Sui Bo Yuan 26 6 0 05 Dec 2022
CSTAR: Towards Compact and STructured Deep Neural Networks with Adversarial Robustness Huy Phan Miao Yin Yang Sui Bo Yuan S. Zonouz AAML GNN 38 8 0 04 Dec 2022
Signed Binary Weight Networks Sachit Kuhar Alexey Tumanov Judy Hoffman MQ 23 1 0 25 Nov 2022
Pruning Very Deep Neural Network Channels for Efficient Inference Yihui He 35 1 0 14 Nov 2022
LearningGroup: A Real-Time Sparse Training on FPGA via Learnable Weight Grouping for Multi-Agent Reinforcement Learning Jenny Yang Jaeuk Kim Joo-Young Kim 31 2 0 29 Oct 2022
Improved Projection Learning for Lower Dimensional Feature Maps Ilan Price Jared Tanner 26 3 0 27 Oct 2022
Gradient-based Weight Density Balancing for Robust Dynamic Sparse Training Mathias Parger Alexander Ertl Paul Eibensteiner J. H. Mueller Martin Winter M. Steinberger 34 0 0 25 Oct 2022
Weight Fixing Networks Christopher Subia-Waud S. Dasmahapatra MQ 32 2 0 24 Oct 2022
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations Zirui Liu Sheng-Wei Chen Kaixiong Zhou Daochen Zha Xiao Huang Xia Hu 42 15 0 19 Oct 2022
MotionDeltaCNN: Sparse CNN Inference of Frame Differences in Moving Camera Videos Mathias Parger Chengcheng Tang Thomas Neff Christopher D. Twigg Cem Keskin Robert Y. Wang M. Steinberger 32 6 0 18 Oct 2022
Approximate Computing and the Efficient Machine Learning Expedition J. Henkel Hai Helen Li A. Raghunathan M. Tahoori Swagath Venkataramani Xiaoxuan Yang Georgios Zervakis 28 17 0 02 Oct 2022