v1v2v3 (latest)

Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision

AAAI Conference on Artificial Intelligence (AAAI), 2020

20 February 2020

Papers citing "Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision"

20 / 20 papers shown

Title
FlexiQ: Adaptive Mixed-Precision Quantization for Latency/Accuracy Trade-Offs in Deep Neural Networks Jaemin Kim Hongjun Um Sungkyun Kim Yongjun Park Jiwon Seo MQ 45 0 0 03 Oct 2025
Assessing the Potential for Catastrophic Failure in Dynamic Post-Training Quantization Logan Frank Paul Ardis AAML 20 0 0 02 Oct 2025
Compute-Optimal Quantization-Aware Training Aleksandr Dremov David Grangier Angelos Katharopoulos Awni Y. Hannun MQ 16 0 0 26 Sep 2025
GREEN-CODE: Learning to Optimize Energy Efficiency in LLM-based Code GenerationIEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2025 Shashikant Ilager Lukas Florian Briem Ivona Brandić 144 2 0 19 Jan 2025
Lightweight Deep Learning for Resource-Constrained Environments: A Survey Hou-I Liu Marco Galindo Hongxia Xie Lai-Kuan Wong Hong-Han Shuai Yung-Hui Li Wen-Huang Cheng 206 125 0 08 Apr 2024
A SAM-guided Two-stream Lightweight Model for Anomaly Detection Chenghao Li Lei Qi Xin Geng 166 13 0 29 Feb 2024
MixQuant: Mixed Precision Quantization with a Bit-width Optimization Search Yichen Xie Wei Le MQ 90 4 0 29 Sep 2023
Augmenting Hessians with Inter-Layer Dependencies for Mixed-Precision Post-Training Quantization Clemens J. S. Schaefer Navid Lambert-Shirzad Xiaofan Zhang Chia-Wei Chou T. Jablin Jian Li Elfie Guo Caitlin Stanton S. Joshi Yu Emma Wang MQ 139 4 0 08 Jun 2023
Efficient Transformer-based 3D Object Detection with Dynamic Token HaltingIEEE International Conference on Computer Vision (ICCV), 2023 Mao Ye Gregory P. Meyer Yuning Chai Qiang Liu 154 9 0 09 Mar 2023
Data Quality-aware Mixed-precision Quantization via Hybrid Reinforcement LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Yingchun Wang Jingcai Guo Song Guo Weizhan Zhang MQ 129 23 0 09 Feb 2023
Long-Range Zero-Shot Generative Deep Network QuantizationNeural Networks (NN), 2022 Yan Luo Yangcheng Gao Zhao Zhang Haijun Zhang Mingliang Xu Meng Wang MQ 172 10 0 13 Nov 2022
Towards Accurate Binary Neural Networks via Modeling Contextual DependenciesEuropean Conference on Computer Vision (ECCV), 2022 Xingrun Xing Yangguang Li Wei Li Wenrui Ding Yalong Jiang Yufeng Wang Jinghua Shao Chunlei Liu Xianglong Liu MQ 120 9 0 03 Sep 2022
A Langevin-like Sampler for Discrete DistributionsInternational Conference on Machine Learning (ICML), 2022 Ruqi Zhang Xingchao Liu Qiang Liu BDL 93 46 0 20 Jun 2022
Energy awareness in low precision neural networks Nurit Spingarn-Eliezer Ron Banner Elad Hoffer Hilla Ben-Yaacov T. Michaeli 193 0 0 06 Feb 2022
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization Mingliang Xu Mingbao Lin Gongrui Nan Jianzhuang Liu Baochang Zhang Yonghong Tian Rongrong Ji MQ 317 87 0 17 Nov 2021
Fine-grained Data Distribution Alignment for Post-Training QuantizationEuropean Conference on Computer Vision (ECCV), 2021 Mingliang Xu Mingbao Lin Mengzhao Chen Ke Li Chunjiang Ge Yong Li Yongjian Wu Rongrong Ji MQ 146 21 0 09 Sep 2021
Confounding Tradeoffs for Neural Network Quantization Sahaj Garg Anirudh Jain Joe Lou Mitchell Nahmias MQ 131 20 0 12 Feb 2021
Exploring Neural Networks Quantization via Layer-Wise Quantization Analysis Shachar Gluska Mark Grobman MQ 77 6 0 15 Dec 2020
Dual Precision Deep Neural NetworkInternational Conference on Artificial Intelligence and Pattern Recognition (AIPR), 2020 J. Park J. Choi J. Ko 72 1 0 02 Sep 2020
Weight Equalizing Shift Scaler-Coupled Post-training Quantization Jihun Oh Sangjeong Lee Meejeong Park Pooni Walagaurav K. Kwon MQ 87 1 0 13 Aug 2020