Bit Efficient Quantization for Deep Neural Networks

7 October 2019

Papers citing "Bit Efficient Quantization for Deep Neural Networks"

22 / 22 papers shown

Title
Toward Efficient Convolutional Neural Networks With Structured Ternary Patterns Christos Kyrkou 34 0 0 20 Jul 2024
Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders Nishant Yadav Nicholas Monath Manzil Zaheer Rob Fergus Andrew McCallum CML RALM 40 1 0 06 May 2024
Graft: Efficient Inference Serving for Hybrid Deep Learning with SLO Guarantees via DNN Re-alignment Jing Wu Lin Wang Qirui Jin Fangming Liu 23 11 0 17 Dec 2023
DNA-TEQ: An Adaptive Exponential Quantization of Tensors for DNN Inference Bahareh Khabbazan Marc Riera Antonio González MQ 8 3 0 28 Jun 2023
Going Further With Winograd Convolutions: Tap-Wise Quantization for Efficient Inference on 4x4 Tile Renzo Andri Beatrice Bussolino A. Cipolletta Lukas Cavigelli Zhe Wang MQ 26 13 0 26 Sep 2022
Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation Pedro J. Freire A. Napoli D. A. Ron B. Spinnler M. Anderson W. Schairer T. Bex N. Costa S. Turitsyn Jaroslaw E. Prilepsky 27 28 0 26 Aug 2022
A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification Babak Rokh A. Azarpeyvand Alireza Khanteymoori MQ 30 82 0 14 May 2022
TinyMLOps: Operational Challenges for Widespread Edge AI Adoption Sam Leroux Pieter Simoens Meelis Lootus Kartik Thakore Akshay Sharma 19 16 0 21 Mar 2022
Machine Learning Advances aiding Recognition and Classification of Indian Monuments and Landmarks A. Paul S. Ghose K. Aggarwal Niketha Nethaji Shivam Pal Arnab Dutta Purkayastha 18 9 0 29 Jul 2021
Advances in Classifying the Stages of Diabetic Retinopathy Using Convolutional Neural Networks in Low Memory Edge Devices A. Paul 15 4 0 03 Jun 2021
RCT: Resource Constrained Training for Edge AI Tian Huang Tao Luo Ming Yan Joey Tianyi Zhou Rick Siow Mong Goh 25 8 0 26 Mar 2021
Data-free mixed-precision quantization using novel sensitivity metric Donghyun Lee M. Cho Seungwon Lee Joonho Song Changkyu Choi MQ 11 2 0 18 Mar 2021
Quantization-Guided Training for Compact TinyML Models Sedigh Ghamari Koray Ozcan Thu Dinh A. Melnikov Juan Carvajal Jan Ernst S. Chai MQ 16 16 0 10 Mar 2021
Compressed Object Detection Gedeon Muhawenayo Georgia Gkioxari 13 3 0 04 Feb 2021
Subtensor Quantization for Mobilenets Thu Dinh A. Melnikov Vasilios Daskalopoulos S. Chai MQ 17 4 0 04 Nov 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 26 79 0 17 Sep 2020
AUSN: Approximately Uniform Quantization by Adaptively Superimposing Non-uniform Distribution for Deep Neural Networks Fangxin Liu Wenbo Zhao Yanzhi Wang Changzhi Dai Li Jiang MQ 17 3 0 08 Jul 2020
EasyQuant: Post-training Quantization via Scale Optimization Di Wu Qingming Tang Yongle Zhao Ming Zhang Ying Fu Debing Zhang MQ 19 75 0 30 Jun 2020
Robust Quantization: One Model to Rule Them All Moran Shkolnik Brian Chmiel Ron Banner Gil Shomron Yury Nahshan A. Bronstein U. Weiser OOD MQ 8 75 0 18 Feb 2020
A Spike in Performance: Training Hybrid-Spiking Neural Networks with Quantized Activation Functions Aaron R. Voelker Daniel Rasmussen C. Eliasmith 12 16 0 10 Feb 2020
Loss Aware Post-training Quantization Yury Nahshan Brian Chmiel Chaim Baskin Evgenii Zheltonozhskii Ron Banner A. Bronstein A. Mendelson MQ 17 163 0 17 Nov 2019
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 316 1,047 0 10 Feb 2017