Quantized Convolutional Neural Networks for Mobile Devices

21 December 2015

Papers citing "Quantized Convolutional Neural Networks for Mobile Devices"

50 / 112 papers shown

Title
I2CKD : Intra- and Inter-Class Knowledge Distillation for Semantic Segmentation Ayoub Karine Thibault Napoléon M. Jridi VLM 101 0 0 24 Feb 2025
BlabberSeg: Real-Time Embedded Open-Vocabulary Aerial Segmentation Haechan Mark Bong Ricardo de Azambuja Giovanni Beltrame VLM 31 0 0 16 Oct 2024
Topological Persistence Guided Knowledge Distillation for Wearable Sensor Data Eun Som Jeon Hongjun Choi A. Shukla Yuan Wang Hyunglae Lee M. Buman P. Turaga 27 3 0 07 Jul 2024
An Empirical Investigation of Matrix Factorization Methods for Pre-trained Transformers Ashim Gupta Sina Mahdipour Saravani P. Sadayappan Vivek Srikumar 24 2 0 17 Jun 2024
ATOM: Attention Mixer for Efficient Dataset Distillation Samir Khaki A. Sajedi Kai Wang Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis 38 3 0 02 May 2024
GPTVQ: The Blessing of Dimensionality for LLM Quantization M. V. Baalen Andrey Kuzmin Markus Nagel Peter Couperus Cédric Bastoul E. Mahurin Tijmen Blankevoort Paul N. Whatmough MQ 34 28 0 23 Feb 2024
REDS: Resource-Efficient Deep Subnetworks for Dynamic Resource Constraints Francesco Corti Balz Maag Joachim Schauer U. Pferschy O. Saukh 24 2 0 22 Nov 2023
DataDAM: Efficient Dataset Distillation with Attention Matching A. Sajedi Samir Khaki Ehsan Amjadian Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis DD 37 59 0 29 Sep 2023
Systematic Architectural Design of Scale Transformed Attention Condenser DNNs via Multi-Scale Class Representational Response Similarity Analysis Andrew Hryniowski Alexander Wong 8 0 0 16 Jun 2023
ALiSNet: Accurate and Lightweight Human Segmentation Network for Fashion E-Commerce Amrollah Seifoddini K. Vernooij Timon Künzle A. Canopoli Malte F. Alf Anna Volokitin Reza Shirvany 3DH 10 0 0 15 Apr 2023
Performance-aware Approximation of Global Channel Pruning for Multitask CNNs Hancheng Ye Bo-Wen Zhang Tao Chen Jiayuan Fan Bin Wang 21 18 0 21 Mar 2023
BiBench: Benchmarking and Analyzing Network Binarization Haotong Qin Mingyuan Zhang Yifu Ding Aoyu Li Zhongang Cai Ziwei Liu F. I. F. Richard Yu Xianglong Liu MQ AAML 16 36 0 26 Jan 2023
Hyperspherical Quantization: Toward Smaller and More Accurate Models Dan Liu X. Chen Chen-li Ma Xue Liu MQ 20 3 0 24 Dec 2022
Neural Network Compression by Joint Sparsity Promotion and Redundancy Reduction T. M. Khan Syed S. Naqvi A. Robles-Kelly Erik H. W. Meijering 31 7 0 14 Oct 2022
Deep Learning on Home Drone: Searching for the Optimal Architecture Alaa Maalouf Yotam Gurfinkel Barak Diker O. Gal Daniela Rus Dan Feldman 10 5 0 21 Sep 2022
Mixed-Precision Neural Networks: A Survey M. Rakka M. Fouda Pramod P. Khargonekar Fadi J. Kurdahi MQ 18 11 0 11 Aug 2022
Look-ups are not (yet) all you need for deep learning inference Calvin McCarter Nicholas Dronen 19 4 0 12 Jul 2022
QuantFace: Towards Lightweight Face Recognition by Synthetic Data Low-bit Quantization Fadi Boutros Naser Damer Arjan Kuijper CVBM MQ 22 37 0 21 Jun 2022
OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization Peng Hu Xi Peng Hongyuan Zhu M. Aly Jie Lin MQ 31 59 0 23 May 2022
Knowledge Distillation Meets Open-Set Semi-Supervised Learning Jing Yang Xiatian Zhu Adrian Bulat Brais Martínez Georgios Tzimiropoulos 29 7 0 13 May 2022
Cross-Image Relational Knowledge Distillation for Semantic Segmentation Chuanguang Yang Helong Zhou Zhulin An Xue Jiang Yong Xu Qian Zhang 26 169 0 14 Apr 2022
OMAD: On-device Mental Anomaly Detection for Substance and Non-Substance Users Emon Dey Nirmalya Roy 10 5 0 13 Apr 2022
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification Sharath Girish Kamal Gupta Saurabh Singh Abhinav Shrivastava 26 11 0 06 Apr 2022
Multi-task Learning Approach for Modulation and Wireless Signal Classification for 5G and Beyond: Edge Deployment via Model Compression Anu Jagannath Jithin Jagannath 12 26 0 26 Feb 2022
Memory Planning for Deep Neural Networks Maksim Levental 11 4 0 23 Feb 2022
HRel: Filter Pruning based on High Relevance between Activation Maps and Class Labels C. Sarvani Mrinmoy Ghorai S. Dubey S. H. Shabbeer Basha VLM 21 37 0 22 Feb 2022
Controlling the Quality of Distillation in Response-Based Network Compression Vibhas Kumar Vats David J. Crandall 11 1 0 19 Dec 2021
Mixed Precision of Quantization of Transformer Language Models for Speech Recognition Junhao Xu Shoukang Hu Jianwei Yu Xunying Liu Helen M. Meng MQ 30 15 0 29 Nov 2021
Improved Knowledge Distillation via Adversarial Collaboration Zhiqiang Liu Chengkai Huang Yanxia Liu 13 2 0 29 Nov 2021
Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression Yuezhou Sun Wenlong Zhao Lijun Zhang Xiao Liu Hui Guan Matei A. Zaharia 13 0 0 19 Nov 2021
Oracle Teacher: Leveraging Target Information for Better Knowledge Distillation of CTC Models J. Yoon H. Kim Hyeon Seung Lee Sunghwan Ahn N. Kim 26 1 0 05 Nov 2021
Smart at what cost? Characterising Mobile Deep Neural Networks in the wild Mario Almeida Stefanos Laskaridis Abhinav Mehrotra L. Dudziak Ilias Leontiadis Nicholas D. Lane HAI 95 44 0 28 Sep 2021
Architecture Aware Latency Constrained Sparse Neural Networks Tianli Zhao Qinghao Hu Xiangyu He Weixiang Xu Jiaxing Wang Cong Leng Jian Cheng 20 0 0 01 Sep 2021
CoCo DistillNet: a Cross-layer Correlation Distillation Network for Pathological Gastric Cancer Segmentation Wenxuan Zou Muyi Sun 23 9 0 27 Aug 2021
Online Knowledge Distillation for Efficient Pose Estimation Zheng Li Jingwen Ye Mingli Song Ying Huang Zhigeng Pan 12 92 0 04 Aug 2021
Bias Loss for Mobile Neural Networks L. Abrahamyan Valentin Ziatchin Yiming Chen Nikos Deligiannis 9 14 0 23 Jul 2021
Follow Your Path: a Progressive Method for Knowledge Distillation Wenxian Shi Yuxuan Song Hao Zhou Bohan Li Lei Li 17 14 0 20 Jul 2021
APNN-TC: Accelerating Arbitrary Precision Neural Networks on Ampere GPU Tensor Cores Boyuan Feng Yuke Wang Tong Geng Ang Li Yufei Ding MQ 11 37 0 23 Jun 2021
FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator Geng Yuan Payman Behnam Zhengang Li Ali Shafiee Sheng Lin ... Hang Liu Xuehai Qian M. N. Bojnordi Yanzhi Wang Caiwen Ding 11 68 0 16 Jun 2021
Compact CNN Structure Learning by Knowledge Distillation Waqar Ahmed Andrea Zunino Pietro Morerio Vittorio Murino 19 5 0 19 Apr 2021
"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization Tianlong Chen Zhenyu (Allen) Zhang Xu Ouyang Zechun Liu Zhiqiang Shen Zhangyang Wang MQ 31 36 0 16 Apr 2021
Distilling Object Detectors via Decoupled Features Jianyuan Guo Kai Han Yunhe Wang Han Wu Xinghao Chen Chunjing Xu Chang Xu 24 199 0 26 Mar 2021
Compacting Deep Neural Networks for Internet of Things: Methods and Applications Ke Zhang Hanbo Ying Hongning Dai Lin Li Yuangyuang Peng Keyi Guo Hongfang Yu 16 38 0 20 Mar 2021
Learned Gradient Compression for Distributed Deep Learning L. Abrahamyan Yiming Chen Giannis Bekoulis Nikos Deligiannis 24 45 0 16 Mar 2021
hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices F. Fahim B. Hawks C. Herwig J. Hirschauer S. Jindariani ... J. Ngadiuba Miaoyuan Liu Duc Hoang E. Kreinar Zhenbin Wu 20 129 0 09 Mar 2021
VS-Quant: Per-vector Scaled Quantization for Accurate Low-Precision Neural Network Inference Steve Dai Rangharajan Venkatesan Haoxing Ren B. Zimmer W. Dally Brucek Khailany MQ 23 67 0 08 Feb 2021
SeReNe: Sensitivity based Regularization of Neurons for Structured Sparsity in Neural Networks Enzo Tartaglione Andrea Bragagnolo Francesco Odierna A. Fiandrotti Marco Grangetto 38 18 0 07 Feb 2021
Hybrid and Non-Uniform quantization methods using retro synthesis data for efficient inference Gvsl Tej Pratap R. Kumar MQ 11 1 0 26 Dec 2020
Parallel Blockwise Knowledge Distillation for Deep Neural Network Compression Cody Blakeney Xiaomin Li Yan Yan Ziliang Zong 20 39 0 05 Dec 2020
Bringing AI To Edge: From Deep Learning's Perspective Di Liu Hao Kong Xiangzhong Luo Weichen Liu Ravi Subramaniam 36 116 0 25 Nov 2020