Quantized Convolutional Neural Networks for Mobile Devices

21 December 2015

Papers citing "Quantized Convolutional Neural Networks for Mobile Devices"

50 / 174 papers shown

Title
I2CKD : Intra- and Inter-Class Knowledge Distillation for Semantic Segmentation Ayoub Karine Thibault Napoléon M. Jridi VLM 109 0 0 24 Feb 2025
BlabberSeg: Real-Time Embedded Open-Vocabulary Aerial Segmentation Haechan Mark Bong Ricardo de Azambuja Giovanni Beltrame VLM 40 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 Pavan Turaga 35 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 35 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 52 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 38 28 0 23 Feb 2024
Combining Cloud and Mobile Computing for Machine Learning Ruiqi Xu Tianchi Zhang 39 1 0 20 Jan 2024
ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural Networks Peng Zhao Jiehua Zhang Bowen Peng Longguang Wang Yingmei Wei Yu Liu Li Liu AAML 37 0 0 21 Dec 2023
REDS: Resource-Efficient Deep Subnetworks for Dynamic Resource Constraints Francesco Corti Balz Maag Joachim Schauer U. Pferschy O. Saukh 41 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 50 60 0 29 Sep 2023
Survey on Computer Vision Techniques for Internet-of-Things Devices Ishmeet Kaur Adwaita Janardhan Jadhav AI4CE 27 1 0 02 Aug 2023
Digital Modeling on Large Kernel Metamaterial Neural Network Quan Liu Hanyu Zheng Brandon T. Swartz Ho Hin Lee Zuhayr Asad I. Kravchenko Jason G Valentine Yuankai Huo 20 4 0 21 Jul 2023
Systematic Architectural Design of Scale Transformed Attention Condenser DNNs via Multi-Scale Class Representational Response Similarity Analysis Andrew Hryniowski Alexander Wong 23 0 0 16 Jun 2023
Cuttlefish: Low-Rank Model Training without All the Tuning Hongyi Wang Saurabh Agarwal Pongsakorn U-chupala Yoshiki Tanaka Eric P. Xing Dimitris Papailiopoulos OffRL 63 22 0 04 May 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 29 0 0 15 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 36 4 0 22 Mar 2023
Performance-aware Approximation of Global Channel Pruning for Multitask CNNs Hancheng Ye Bo Zhang Tao Chen Jiayuan Fan Bin Wang 32 18 0 21 Mar 2023
BiBench: Benchmarking and Analyzing Network Binarization Haotong Qin Mingyuan Zhang Yifu Ding Aoyu Li Zhongang Cai Ziwei Liu Feng Yu Xianglong Liu MQ AAML 46 36 0 26 Jan 2023
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of Quantized CNNs A. M. Ribeiro-dos-Santos João Dinis Ferreira O. Mutlu G. Falcão MQ 21 1 0 15 Jan 2023
Hyperspherical Quantization: Toward Smaller and More Accurate Models Dan Liu X. Chen Chen Ma Xue Liu MQ 32 3 0 24 Dec 2022
Pruning On-the-Fly: A Recoverable Pruning Method without Fine-tuning Danyang Liu Xue Liu 28 0 0 24 Dec 2022
Atrous Space Bender U-Net (ASBU-Net/LogiNet) Anurag Bansal O. Ostap Miguel Maestre Trueba Kristopher Perry SSeg 21 0 0 16 Dec 2022
Hint-dynamic Knowledge Distillation Yiyang Liu Chenxin Li Xiaotong Tu Xinghao Ding Yue Huang 14 1 0 30 Nov 2022
Neural Network Compression by Joint Sparsity Promotion and Redundancy Reduction T. M. Khan Syed S. Naqvi A. Robles-Kelly Erik H. W. Meijering 46 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 32 5 0 21 Sep 2022
Mixed-Precision Neural Networks: A Survey M. Rakka M. Fouda Pramod P. Khargonekar Fadi J. Kurdahi MQ 27 11 0 11 Aug 2022
Look-ups are not (yet) all you need for deep learning inference Calvin McCarter Nicholas Dronen 26 4 0 12 Jul 2022
QuantFace: Towards Lightweight Face Recognition by Synthetic Data Low-bit Quantization Fadi Boutros Naser Damer Arjan Kuijper CVBM MQ 27 37 0 21 Jun 2022
FCN-Pose: A Pruned and Quantized CNN for Robot Pose Estimation for Constrained Devices M. Dantas I. R. R. Silva A. T. O. Filho Gibson B. N. Barbosa Daniel Bezerra D. Sadok J. Kelner M. Marquezini Ricardo F. D. Silva 17 1 0 26 May 2022
OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization Peng Hu Xi Peng Erik Cambria M. Aly Jie Lin MQ 52 59 0 23 May 2022
Knowledge Distillation Meets Open-Set Semi-Supervised Learning Jing Yang Xiatian Zhu Adrian Bulat Brais Martínez Georgios Tzimiropoulos 37 8 0 13 May 2022
Cross-Image Relational Knowledge Distillation for Semantic Segmentation Chuanguang Yang Helong Zhou Zhulin An Xue Jiang Yong Xu Qian Zhang 37 170 0 14 Apr 2022
OMAD: On-device Mental Anomaly Detection for Substance and Non-Substance Users Emon Dey Nirmalya Roy 15 5 0 13 Apr 2022
Compact Model Training by Low-Rank Projection with Energy Transfer K. Guo Zhenquan Lin Xiaofen Xing Fang Liu Xiangmin Xu 40 2 0 12 Apr 2022
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification Sharath Girish Kamal Gupta Saurabh Singh Abhinav Shrivastava 38 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 28 27 0 26 Feb 2022
Memory Planning for Deep Neural Networks Maksim Levental 33 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 39 37 0 22 Feb 2022
Learning Robust and Lightweight Model through Separable Structured Transformations Xian Wei Yanhui Huang Yang Xu Mingsong Chen Hai Lan Yuanxiang Li Zhongfeng Wang Xuan Tang OOD 24 0 0 27 Dec 2021
Controlling the Quality of Distillation in Response-Based Network Compression Vibhas Kumar Vats David J. Crandall 23 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 42 15 0 29 Nov 2021
Improved Knowledge Distillation via Adversarial Collaboration Zhiqiang Liu Chengkai Huang Yanxia Liu 31 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 26 0 0 19 Nov 2021
Deep Network Approximation in Terms of Intrinsic Parameters Zuowei Shen Haizhao Yang Shijun Zhang 21 9 0 15 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 38 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 115 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 39 0 0 01 Sep 2021
CoCo DistillNet: a Cross-layer Correlation Distillation Network for Pathological Gastric Cancer Segmentation Wenxuan Zou Muyi Sun 40 9 0 27 Aug 2021
Online Knowledge Distillation for Efficient Pose Estimation Zheng Li Jingwen Ye Xiuming Zhang Ying Huang Zhigeng Pan 23 94 0 04 Aug 2021
Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks H. Baumgartl Ricardo Buettner 3DPC 54 3 0 23 Jul 2021