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1708.04485
Cited By
SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks
23 May 2017
A. Parashar
Minsoo Rhu
Anurag Mukkara
A. Puglielli
Rangharajan Venkatesan
Brucek Khailany
J. Emer
S. Keckler
W. Dally
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Papers citing
"SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks"
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An Efficient Training Algorithm for Models with Block-wise Sparsity
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306
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365
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220
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536
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Chong Chen
Yang Wang
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Ting Cao
Cheng Liu
Mohamed M. Sabry
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18 Jan 2025
Energy Backdoor Attack to Deep Neural Networks
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H. B. Meftah
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Sid Ahmed Fezza
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Shuo Yang
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226
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223
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308
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Event-based Optical Flow on Neuromorphic Processor: ANN vs. SNN Comparison based on Activation Sparsification
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295
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MQ
342
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HASS: Hardware-Aware Sparsity Search for Dataflow DNN Accelerator
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Sudarshan Sreeram
Krish Agrawal
Junyi Wu
Alexander Montgomerie-Corcoran
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Jianyi Cheng
C. Bouganis
Yiren Zhao
336
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Dual sparse training framework: inducing activation map sparsity via Transformed
ℓ
1
\ell1
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regularization
Xiaolong Yu
Cong Tian
251
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30 May 2024
Neural Network Compression for Reinforcement Learning Tasks
Scientific Reports (Sci Rep), 2024
Dmitry A. Ivanov
D. Larionov
Oleg V. Maslennikov
V. Voevodin
OffRL
AI4CE
320
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From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks
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Xue Geng
Zhe Wang
Chunyun Chen
Qing Xu
Kaixin Xu
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Zhenghua Chen
M. Aly
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348
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Zifeng Zhang
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Yile Xie
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Ashish Sirasao
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265
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Hongxia Xie
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Wen-Huang Cheng
428
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The Impact of Uniform Inputs on Activation Sparsity and Energy-Latency Attacks in Computer Vision
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Erwin Quiring
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308
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FlexNN: A Dataflow-aware Flexible Deep Learning Accelerator for Energy-Efficient Edge Devices
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226
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The SkipSponge Attack: Sponge Weight Poisoning of Deep Neural Networks
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Stefanos Koffas
S. Picek
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423
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Progressive Gradient Flow for Robust N:M Sparsity Training in Transformers
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Amir Yazdanbakhsh
Suvinay Subramanian
Sheng-Chun Kao
Shivani Agrawal
Utku Evci
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368
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Activity Sparsity Complements Weight Sparsity for Efficient RNN Inference
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Mark Schöne
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Christian Mayr
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337
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SparseLock: Securing Neural Network Models in Deep Learning Accelerators
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S. Sarangi
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289
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Efficient Model-Based Deep Learning via Network Pruning and Fine-Tuning
Journal of Mathematical Imaging and Vision (JMIV), 2023
Chicago Y. Park
Weijie Gan
Zihao Zou
Yuyang Hu
Zhixin Sun
Ulugbek S. Kamilov
354
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03 Nov 2023
YFlows: Systematic Dataflow Exploration and Code Generation for Efficient Neural Network Inference using SIMD Architectures on CPUs
International Conference on Compiler Construction (CC), 2023
Cyrus Zhou
Zack Hassman
Ruize Xu
Dhirpal Shah
Vaughn Richard
Yanjing Li
605
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Computation-efficient Deep Learning for Computer Vision: A Survey
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359
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Mitigating Memory Wall Effects in CNN Engines with On-the-Fly Weights Generation
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192
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Huy Che Quang
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Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications
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Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training
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314
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RAMAN: A Re-configurable and Sparse tinyML Accelerator for Inference on Edge
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Adithya Krishna
Srikanth Rohit Nudurupati
Chandana D G
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Chetan Singh Thakur
164
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164
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HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity
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Po-An Tsai
Saurav Muralidharan
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Vivienne Sze
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312
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SPADE: Sparse Pillar-based 3D Object Detection Accelerator for Autonomous Driving
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Minjae Lee
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Hyung-Se Kim
Minyong Yoon
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Junwon Choi
Nam Sung Kim
Mingu Kang
Jungwook Choi
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317
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Energy-Latency Attacks to On-Device Neural Networks via Sponge Poisoning
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Kurt Keutzer
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MQ
337
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Fixflow: A Framework to Evaluate Fixed-point Arithmetic in Light-Weight CNN Inference
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Siavash Bayat Sarmadi
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MQ
138
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VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs
International Symposium on High-Performance Computer Architecture (HPCA), 2023
Geonhwa Jeong
S. Damani
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421
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Workload-Balanced Pruning for Sparse Spiking Neural Networks
IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2023
Ruokai Yin
Youngeun Kim
Yuhang Li
Abhishek Moitra
Nitin Satpute
Anna Hambitzer
Priyadarshini Panda
279
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13 Feb 2023
Bit-balance: Model-Hardware Co-design for Accelerating NNs by Exploiting Bit-level Sparsity
IEEE transactions on computers (IEEE Trans. Comput.), 2023
Wenhao Sun
Zhiwei Zou
Deng Liu
Wendi Sun
Song Chen
Yi Kang
MQ
88
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