Quantization Networks

21 November 2019

Papers citing "Quantization Networks"

50 / 54 papers shown

Title
Diffusion Model Quantization: A Review Qian Zeng Chenggong Hu Mingli Song Jie Song MQ 45 0 0 08 May 2025
Knowledge Distillation for Speech Denoising by Latent Representation Alignment with Cosine Distance Diep Luong Mikko Heikkinen K. Drossos Tuomas Virtanen 47 0 0 06 May 2025
Cauchy-Schwarz Regularizers Sueda Taner Ziyi Wang Christoph Studer 44 0 0 03 Mar 2025
On the Privacy-Preserving Properties of Spiking Neural Networks with Unique Surrogate Gradients and Quantization Levels Ayana Moshruba Shay Snyder Hamed Poursiami Maryam Parsa AAML 71 2 0 25 Feb 2025
Fast Matrix Multiplications for Lookup Table-Quantized LLMs Han Guo William Brandon Radostin Cholakov Jonathan Ragan-Kelley Eric P. Xing Yoon Kim MQ 91 12 0 20 Jan 2025
Compensate Quantization Errors+: Quantized Models Are Inquisitive Learners Yifei Gao Jie Ou Lei Wang Fanhua Shang Jaji Wu MQ 47 0 0 22 Jul 2024
MetaAug: Meta-Data Augmentation for Post-Training Quantization Cuong Pham Hoang Anh Dung Cuong C. Nguyen Trung Le Dinh Q. Phung Gustavo Carneiro Thanh-Toan Do MQ 44 0 0 20 Jul 2024
Torch2Chip: An End-to-end Customizable Deep Neural Network Compression and Deployment Toolkit for Prototype Hardware Accelerator Design Jian Meng Yuan Liao Anupreetham Anupreetham Ahmed Hassan Shixing Yu Han-Sok Suh Xiaofeng Hu Jae-sun Seo MQ 49 1 0 02 May 2024
opML: Optimistic Machine Learning on Blockchain KD Conway Cathie So Xiaohang Yu Kartin Wong 29 14 0 31 Jan 2024
SCoTTi: Save Computation at Training Time with an adaptive framework Ziyu Li Enzo Tartaglione Van-Tam Nguyen 33 0 0 19 Dec 2023
A Transfer Learning and Explainable Solution to Detect mpox from Smartphones images M. Campana Marco Colussi Franca Delmastro S. Mascetti Elena Pagani 15 10 0 29 May 2023
Learning Discretized Neural Networks under Ricci Flow Jun Chen Han Chen Mengmeng Wang Guang Dai Ivor W. Tsang Yong-Jin Liu 25 2 0 07 Feb 2023
Clustered Embedding Learning for Recommender Systems Yizhou Chen Guangda Huzhang Anxiang Zeng Qingtao Yu Hui Sun Hengyi Li Jingyi Li Yabo Ni Han Yu Zhiming Zhou 29 9 0 03 Feb 2023
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives Maolin Wang Y. Pan Zenglin Xu Xiangli Yang Guangxi Li A. Cichocki Andrzej Cichocki 53 19 0 22 Jan 2023
PD-Quant: Post-Training Quantization based on Prediction Difference Metric Jiawei Liu Lin Niu Zhihang Yuan Dawei Yang Xinggang Wang Wenyu Liu MQ 96 68 0 14 Dec 2022
Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022 challenge: Report Andrey D. Ignatov Radu Timofte Jin Zhang Feng Zhang G. Yu ... Mingyang Qian Huixin Ma Yanan Li Xiaotao Wang Lei Lei 15 10 0 07 Nov 2022
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report Andrey D. Ignatov Radu Timofte Maurizio Denna Abdelbadie Younes Ganzorig Gankhuyag ... Jing Liu Garas Gendy Nabil Sabor J. Hou Guanghui He SupR MQ 23 31 0 07 Nov 2022
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report Andrey D. Ignatov Grigory Malivenko Radu Timofte Lukasz Treszczotko Xin-ke Chang ... Dongwon Park Seongmin Hong Joonhee Lee Seunggyu Lee Sengsub Chun 36 17 0 07 Nov 2022
Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report Andrey D. Ignatov Radu Timofte Shuai Liu Chaoyu Feng Furui Bai ... Xin Lou Wei Zhou Cong Pang Haina Qin Mingxuan Cai 27 23 0 07 Nov 2022
Weight Fixing Networks Christopher Subia-Waud S. Dasmahapatra MQ 16 2 0 24 Oct 2022
Seeking Interpretability and Explainability in Binary Activated Neural Networks Benjamin Leblanc Pascal Germain FAtt 37 1 0 07 Sep 2022
Design of High-Throughput Mixed-Precision CNN Accelerators on FPGA Cecilia Latotzke Tim Ciesielski T. Gemmeke MQ 13 7 0 09 Aug 2022
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning Da-Wei Zhou Qiwen Wang Han-Jia Ye De-Chuan Zhan 29 122 0 26 May 2022
HyBNN and FedHyBNN: (Federated) Hybrid Binary Neural Networks Kinshuk Dua FedML MQ 29 0 0 19 May 2022
Improving Performance of Semantic Segmentation CycleGANs by Noise Injection into the Latent Segmentation Space Jonas Löhdefink Tim Fingscheidt 26 2 0 17 Jan 2022
Elastic-Link for Binarized Neural Network Jie Hu Ziheng Wu Vince Tan Zhilin Lu Mengze Zeng Enhua Wu MQ 30 6 0 19 Dec 2021
Sharpness-aware Quantization for Deep Neural Networks Jing Liu Jianfei Cai Bohan Zhuang MQ 27 24 0 24 Nov 2021
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization Yunshan Zhong Mingbao Lin Gongrui Nan Jianzhuang Liu Baochang Zhang Yonghong Tian Rongrong Ji MQ 46 71 0 17 Nov 2021
CBP: Backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method Guhyun Kim D. Jeong MQ 47 2 0 06 Oct 2021
CoCo DistillNet: a Cross-layer Correlation Distillation Network for Pathological Gastric Cancer Segmentation Wenxuan Zou Muyi Sun 40 9 0 27 Aug 2021
PyEuroVoc: A Tool for Multilingual Legal Document Classification with EuroVoc Descriptors Andrei-Marius Avram V. Pais D. Tufis AILaw VLM 19 17 0 02 Aug 2021
QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning Kaan Ozkara Navjot Singh Deepesh Data Suhas Diggavi FedML MQ 24 56 0 29 Jul 2021
Dynamic Neural Network Architectural and Topological Adaptation and Related Methods -- A Survey Lorenz Kummer AI4CE 40 0 0 28 Jul 2021
Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks H. Baumgartl Ricardo Buettner 3DPC 51 3 0 23 Jul 2021
Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion Mingbao Lin Bohong Chen Rongrong Ji Rongrong Ji VLM 27 23 0 14 Jul 2021
Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report Andrey D. Ignatov Grigory Malivenko Radu Timofte Sheng Chen Xin Xia ... K. Lyda L. Khojoyan Abhishek Thanki Sayak Paul Shahid Siddiqui MQ 21 20 0 17 May 2021
Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report Andrey D. Ignatov Kim Byeoung-su Radu Timofte Angeline Pouget Fenglong Song ... Lei Lei Chaoyu Feng L. Huang Z. Lei Feifei Chen 25 30 0 17 May 2021
ReCU: Reviving the Dead Weights in Binary Neural Networks Zihan Xu Mingbao Lin Jianzhuang Liu Jie Chen Ling Shao Yue Gao Yonghong Tian Rongrong Ji MQ 24 81 0 23 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
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 150 674 0 24 Jan 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 32 2 0 04 Jan 2021
Adaptive Precision Training for Resource Constrained Devices Tian Huang Tao Luo Qiufeng Wang 36 5 0 23 Dec 2020
An SMT-Based Approach for Verifying Binarized Neural Networks Guy Amir Haoze Wu Clark W. Barrett Guy Katz 19 58 0 05 Nov 2020
Training Binary Neural Networks through Learning with Noisy Supervision Kai Han Yunhe Wang Yixing Xu Chunjing Xu Enhua Wu Chang Xu MQ 15 55 0 10 Oct 2020
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks Yoonho Boo Sungho Shin Jungwook Choi Wonyong Sung MQ 27 29 0 30 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 34 79 0 17 Sep 2020
Fast Implementation of 4-bit Convolutional Neural Networks for Mobile Devices A. Trusov E. Limonova Dmitry Slugin D. Nikolaev V. Arlazarov MQ 17 17 0 14 Sep 2020
High Throughput Matrix-Matrix Multiplication between Asymmetric Bit-Width Operands Dibakar Gope Jesse G. Beu Matthew Mattina 20 4 0 03 Aug 2020
Key Frame Proposal Network for Efficient Pose Estimation in Videos Yuexi Zhang Yin Wang Mario Sznaier Octavia Camps 25 31 0 30 Jul 2020
Binary Neural Networks: A Survey Haotong Qin Ruihao Gong Xianglong Liu Xiao Bai Jingkuan Song N. Sebe MQ 50 457 0 31 Mar 2020