A Survey of Quantization Methods for Efficient Neural Network Inference
Gholami, Amir, Kim, Sehoon, Dong, Zhen, Yao, Zhewei, Mahoney, Michael W., Keutzer, Kurt·2022·Low-Power Computer Vision
Cited by (1,155)
Items 401–500 of 1,155
- DECA: A Near-Core LLM Decompression Accelerator Grounded on a 3D Roofline ModelGerasimos Gerogiannis, Stijn Eyerman, Evangelos Georganas, Wim Heirman, Josep Torrellas · 2025 · IEEE/ACM International Symposium on Microarchitecture (MICRO)
- A railway fastener inspection method based on lightweight networkYue Wang, Wang Ji, Shubin Zheng · 2024 · Engineering Research Express
- Reliable edge machine learning hardware for scientific applicationsTommaso Lisini Baldi, Javier Campos, Benjamin Hawks et al. · 2024 · Proceedings - IEEE VLSI Test Symposium/Proceedings of the ... IEEE VLSI Test Symposium
- How Much Can We Gain From Tensor Kernel Fusion on GPUs?Wei Sun, Ang Li, Sander Stuijk, Henk Corporaal · 2024 · IEEE Access
- Gesture Recognition of Filipino Sign Language Using Convolutional and Long Short-Term Memory Deep Neural NetworksKarl Jensen F. Cayme, Vince Andrei B. Retutal, Miguel Edwin P. Salubre · 2024 · Knowledge
- Content-Aware Radiance Fields: Aligning Model Complexity with Scene Intricacy Through Learned Bitwidth QuantizationWeihang Liu, Xue Xian Zheng, Jingyi Yu A, Xin Lou · 2024 · Lecture notes in computer science
- Convergence-aware operator-wise mixed-precision trainingWenhao Dai, Ziyi Jia, Yuesi Bai · 2024 · CCF Transactions on High Performance Computing
- Input-Dependent Power Usage in GPUsTheo Gregersen, Pratyush Patel, Esha Choukse · 2024
- Iterative Algorithm for Parameterization of Two-Region Piecewise Uniform Quantizer for the Laplacian SourceJelena Nikolić, Danijela Aleksić, Zoran Perić, Milan R. Dincic · 2021 · Mathematics
- AIQoSer: Building the efficient Inference-QoS for AI ServicesJianxin Li, Tianchen Zhu, Haoyi Zhou, Qingyun Sun, Chunyang Jiang, Shuai Zhang, Chunming Hu · 2022 · International Workshop on Quality of Service
- Elements of TinyML on Constrained Resource HardwareVasileios Tsoukas, Anargyros Gkogkidis, Athanasios P. Kakarountas · 2022 · Communications in computer and information science
- CNN quantization for anatomical landmarks classification from upper gastrointestinal endoscopic images on Edge DevicesMinh Quan Le, Quang Tung Nguyen, Viet Hang Dao, Thanh-Hai Tran · 2022 · International Conference on Communications and Electronics (ICCE)
- Towards Fast GPU-based Sparse DNN Inference: A Hybrid Compute ModelShaoxian Xu, Minkang Wu, Long Gen Zheng, Zhiyuan Shao, Xiangyu Ye, Xiaofei Liao, Hai Jin · 2022 · IEEE High Performance Extreme Computing Conference
- Fast Computation of RFD-Like Descriptors in Four OrientationsAnton V. Trusov, Elena E. Limonova, Vladimir V. Arlazarov · 2023 · IEEE Access
- Evaluating Robustness to Noise and Compression of Deep Neural Networks for Keyword SpottingPedro Henrique Castro Pereira, Wesley Beccaro, Miguel Arjona Ramírez · 2023 · IEEE Access
- Real-Time Caries Detection of Bitewing Radiographs Using a Mobile Phone and an Artificial Neural Network: A Pilot StudyMing Hong Jim Pun · 2023 · Oral
- Review on Application of Deep Neural Networks and Parallel Architectures for Rock Fragmentation ProblemsMikhail Ronkin, Elena Nikolaevna Akimova, Vladimir Evgenevich Misilov, Kirill Reshetnikov · 2023 · Bulletin of the South Ural State University Series Computational Mathematics and Software Engineering
- Machine Learning Across Network-Connected FPGAsDana Diaconu, Yanyue Xie, Mehmet Gungor, Suranga Handagala, Xue Lin, Miriam E. Leeser · 2023 · IEEE High Performance Extreme Computing Conference
- Factorized Dynamic Fully-Connected Layers for Neural NetworksFrancesca Babiloni, Thomas Tanay, Jiankang Deng, Matteo Maggioni, Stefanos P. Zafeiriou · 2023 · IEEE International Conference on Computer Vision Workshops
- Overcoming Forgetting Catastrophe in Quantization-Aware TrainingTing‐An Chen, De-Nian Yang, Ming-Syan Chen⋆ · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
- ATLAS: An Approximate Time-Series LSTM Accelerator for Low-Power IoT ApplicationsFabian Kreß, Alexey Serdyuk, Micha Hiegle, Disnebio Waldmann, Tim Hotfilter, Julian Hoefer, Tim Hamann, Jens Barth, Peter Kämpf, Tanja Harbaum et al. · 2023 · Euromicro Conference on Digital System Design (DSD)
- Quantized non-volatile nanomagnetic domain wall synapse based autoencoder for efficient unsupervised network anomaly detectionM. S. Alam, Walid Al Misba, Jayasimha Atulasimha · 2024 · Neuromorphic Computing and Engineering
- An All-Optical General-Purpose CPU and Optical Computer ArchitectureMichael Kissner, Leonardo Del Bino, Felix Päsler, Peter Caruana, George N. Ghalanos · 2024 · Journal of Lightwave Technology
- ColFigPhotoAttnNet: Reliable Finger Photo Presentation Attack Detection Leveraging Window-Attention on Color SpacesAnudeep Vurity, Emanuela Marasco, Raghavendra Ramachandra, Jong-Woo Park · 2025 · IEEE Winter Conference on Applications of Computer Vision
- Exploiting Wireless Technology for Energy-Efficient Accelerators With Multiple Dataflows and PrecisionSiqin Liu, Talha Furkan Canan, Harsha Chenji, Soumyasanta Laha, Savaş Kaya, Avinash Karanth · 2022 · IEEE Transactions on Circuits and Systems I Regular Papers
- Lightweight Periocular Recognition through Low-bit QuantizationJan Niklas Kolf, Fadi Boutros, Florian Kirchbuchner · 2022 · IEEE International Joint Conference on Biometrics (IJCB)
- Dilated Involutional Pyramid Network (DInPNet): A Novel Model for Printed Circuit Board (PCB) Components ClassificationAnanya Mantravadi, Dhruv Makwana, Sai Chandra Teja R · 2023 · International Symposium on Quality Electronic Design (ISQED)
- PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language ModelsZhuocheng Gong, Jiahao Liu, Qifan Wang, Yang Yang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Rui Yan · 2023 · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
- A non-alternating graph hashing algorithm for large-scale image searchSobhan Hemati, Mohammad Hadi Mehdizavareh, Shojaeddin Chenouri, Hamid R. Tizhoosh · 2022 · Computer Vision and Image Understanding
- HADQ-Net: A Power-Efficient and Hardware-Adaptive Deep Convolutional Neural Network Translator Based on Quantization-Aware Training for Hardware AcceleratorsOflamaz, Can Uğur, Yalçın, Müştak Erhan · 2025 · Electronics
- Towards Comprehensive Neural Materials: Dynamic Structure-Preserving Synthesis with Accurate Silhouette at Instant Inference SpeedZilin Xu, Xiang Chen, Chen Liu, Beibei Wang, Lu Wang, Zahra Montazeri, Ling‐Qi Yan · 2025 · ACM SIGGRAPH Conference (SIGGRAPH)
- Ground-Assisted LEO Satellite Federated Learning: Dynamic, Efficient, Distributed LearningFuyao Zhang, Dan Wang, Jiawen Kang, Dusit Tao Niyato · 2025 · IEEE Transactions on Mobile Computing
- Benchmarking and Characterization of Large Language Model Inference on Apple SiliconAfsara Benazir, Felix Xiaozhu Lin · 2025 · Proceedings of the ACM on Measurement and Analysis of Computing Systems
- RAMS: Runtime Adaptive Memory Scaling for Tiny Deep Learning on IoT DevicesHaolin Chu, Haiteng Xin, Xiaolong Zheng, Liang Liu, Huadóng Ma · 2026 · IEEE Transactions on Mobile Computing
- Deployment-Aware Compression of Large Language Models for Edge Intelligence: A System-Level SurveyElias Dritsas, Maria Trigka · 2026 · IEEE Transactions on Artificial Intelligence
- Railway track geometry degradation: A review of prediction methodsAlireza Safari Tarbozagh, Saeed Mohammadzadeh, Morteza Esmaeili · 2026 · Results in Engineering
- Mix-GEMM: Extending RISC-V CPUs for Energy-Efficient Mixed-Precision DNN Inference Using Binary SegmentationJordi Fornt, Enrico Reggiani, Pau Fontova-Musté · 2024 · IEEE Transactions on Computers
- BioEdgeNet: A compact deep residual network for stress recognition on edge devicesStevica Cvetković, Sandra Stankovic, Saša V. Nikolić · 2024 · Biomedical Signal Processing and Control
- Large-Scale Recurrent Neural Networks with Fully Homomorphic Encryption for Privacy-Enhanced Speaker IdentificationVele Tosevski, P. Glenn Gulak · 2025 · IEEE International Conference on Acoustics Speech and Signal Processing
- Mobile Device-Based Detection System of Diseases and Pests in Rose Plants Using Deep Convolutional Neural Networks and QuantizationBurhan Duman · 2025 · Tarım Bilimleri Dergisi
- Wireless Hearables With Programmable Speech AI AcceleratorsMalek Itani, Tuochao Chen, Arun M. Raghavan · 2025 · Proceedings of the 28th Annual International Conference on Mobile Computing And Networking
- Post-Training Quantization for Longformer with Chunkwise Quantization Granularity and Optimized PercentileQibin Chen, Yijin Teng, Hui Zhang, Kai Jiang, Qiang Duan, Xue Li, Xinxin Zhao, Rui Li · 2022 · International Conference on Computer and Communication Systems (ICCCS)
- Implementation and Optimization of Neural Networks for Tiny Hardware DevicesHadi Al Zein, Mohamad Aoude, Youssef Harkouss · 2022 · International Conference on Smart Systems and Power Management (IC2SPM)
- Simulated Annealing Based Integerization of Hidden Weights for Area-Efficient IoT Edge IntelligenceRajeev Joshi, Lakshmi Kavya Kalyanam, Srinivas Katkoori · 2022 · IEEE International Symposium on Smart Electronic Systems (iSES)
- QFT: Post-training Quantization via Fast Joint Finetuning of All Degrees of FreedomAlex Finkelstein, Ella Fuchs, Idan Tal, Mark Grobman, Niv Vosco, Eldad Meller · 2023 · Lecture notes in computer science
- Area Efficient VLSI ASIC Implementation of Multilayer PerceptronsRajeev Joshi, Lakshmi Kavya Kalyanam, Srinivas Katkoori · 2023 · International VLSI Symposium on Technology, Systems and Applications (VLSI-TSA)
- Convolutional neural network pruning based on misclassification costSaeed Ahmadluei, Karim Faez A, Behrooz Masoumi · 2023 · The Journal of Supercomputing
- DOSA: Organic Compilation for Neural Network Inference on Distributed FPGAsBurkhard Ringlein, François Abel, Dionysios Diamantopoulos · 2023 · IEEE International Conference on Edge Computing and Communications (EDGE)
- Quantization for Bayesian Deep Learning: Low-Precision Characterization and RobustnessJun-Liang Lin, Ranganath Krishnan, Keyur Ruganathbhai Ranipa, Mahesh M. Subedar, Vrushabh Sanghavi, Meena Arunachalam, Omesh Tickoo, Ravishankar Iyer, Mahmut Kandemir · 2023 · IEEE International Symposium on Workload Characterization
- Effective Multi-Stage Training Model for Edge Computing Devices in Intrusion DetectionTrong Thua Huynh, Hoang Thanh Nguyen · 2024 · International journal of Computer Networks & Communications
- CANET: Quantized Neural Network Inference With 8-bit Carry-Aware AccumulatorJingxuan Yang, Xiaoqin Wang, Yiying Jiang · 2024 · IEEE Access
- Fuzzy Norm-Explicit Product Quantization for Recommender SystemsMohammadreza Jamalifard, Javier Andreu-Pérez, Hani Hagras, Luis M. Martínez · 2024 · IEEE Transactions on Fuzzy Systems
- Characterizing Parameter Scaling with Quantization for Deployment of CNNs on Real-Time SystemsCalvin B. Gealy, Alan D. George · 2024 · ACM Transactions on Embedded Computing Systems
- FedCFC: On-Device Personalized Federated Learning with Closed-Form Continuous-Time Neural NetworksYimin Dai, Rui Tan · 2024 · ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)
- Enhanced Machine-Learning Flow for Microwave-Sensing Systems for Contaminant Detection in FoodBernardita Štitić, Luca Urbinati, Giuseppe Di Guglielmo · 2024 · IEEE Transactions on AgriFood Electronics
- Difficulties and approaches in enabling learning-in-memory using crossbar arrays of memristorsWei Juan Wang, Yang Li, Ming Wang · 2024 · Neuromorphic Computing and Engineering
- Edge AI on Constrained IoT Devices: Quantization Strategies for Model OptimizationMuhammad Yasir Shabir, Gianluca Torta, Ferruccio Damiani · 2024 · Lecture notes in networks and systems
- Neural Network-Based Control of Forced-Convection and Thermoelectric CoolersMahsa Akhsham, Mohammad Javad Dousti, Saeed Safari · 2024 · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
- ZeD: A Generalized Accelerator for Variably Sparse Matrix Computations in MLPranav Dangi, Zhenyu Bai, Rohan Juneja · 2024 · International Conference on Parallel Architectures and Compilation Techniques
- An energy-efficient dehazing neural network accelerator based on E$$^2$$AOD-NetZhihao Zhang, Gaoming Du, Zhenmin Li, Qinran Kang, Wenyao Zhao, Xiaolei Wang · 2024 · Journal of Real-Time Image Processing
- Quantized Prompt for Efficient Generalization of Vision-Language ModelsTianxiang Hao, Xiaohan Ding, Juexiao Feng, Yuhong Yang, Hui Chen, Guiguang Ding · 2024 · Lecture notes in computer science
- Quantization Aware Factorization for Deep Neural Network CompressionDaria Cherniuk, Stanislav Abukhovich, Anh Huy Phan · 2024 · Journal of Artificial Intelligence Research
- Power Consumption in HPC-AI SystemsRoblex T. Nana, Claude Tadonki, Petr Dokládal, Youssef Mesri · 2024 · Lecture notes in networks and systems
- Structured Model Pruning for Efficient Inference in Computational PathologyMohammed Adnan, Qinle Ba, Nazim Shaikh, Shivam Kalra, Satarupa Mukherjee, Auranuch Lorsakul · 2025 · Lecture notes in computer science
- Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A ReviewHao Wang, Bin Guo, Yating Zeng, Mengqi Chen, Yasan Ding, Ying Zhang, Lina Yao, Zhiwen Yu · 2025 · ACM Transactions on Information Systems
- BDCKD: Unlocking the Power of Brownian Distance Covariance in Knowledge DistillationGuoming Lu, Heng Yin, Zhiyong Shu, Jielei Wang, Guangchun Luo · 2025 · IEEE International Conference on Acoustics Speech and Signal Processing
- EPTQ: Enhanced Post-training Quantization via Hessian-Guided Network-Wise OptimizationOfir Gordon, Elad Cohen, Hai Victor Habi, Arnon Netzer · 2025 · Lecture notes in computer science
- Safety and Trust in Artificial Intelligence with Abstract InterpretationGagandeep Singh, Jacob Laurel, Saša Misailovíc, Debangshu Banerjee, Avaljot Singh, Changming Xu, Shubham Ugare, Huan Zhang · 2025 · Foundations and Trends® in Programming Languages
- High-Throughput Energy-Efficient Accelerator With Collaborative-Trainable Sparse-Quantization Method for On-Board Remote Sensing ProcessingTong Wang, He Chen, Ning Zhang · 2025 · IEEE Transactions on Geoscience and Remote Sensing
- StreamSVD: Low-rank Approximation and Streaming Accelerator Co-designZhewen Yu, Christos-Savvas Bouganis · 2021 · International Conference on Field-Programmable Technology (FPT)
- Approximated Doubly Robust Search Relevance EstimationLixin Zou, Changying Hao, Hengyi Cai, Shuaiqiang Wang, Suqi Cheng, Zhicong Cheng, Wenwen Ye, Simiu Gu, Dawei Yin · 2022 · ACM International Conference on Information and Knowledge Management (CIKM)
- AlignQ: Alignment Quantization with ADMM-based Correlation PreservationTing‐An Chen, De-Nian Yang, Ming-Syan Chen⋆ · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Scaling by Learning: Accelerating Open vSwitch Data Path With Neural NetworksAlon Rashelbach, Ori Rottenstreich, Mark Silberstein · 2022 · IEEE/ACM Transactions on Networking
- A 4-bit Integer-Only Neural Network Quantization Method Based on Shift Batch NormalizationQingyu Guo, Xiaoxin Cui, Jian Zhang, Aifei Zhang, Xinjie Guo, Yuan Wang · 2022 · IEEE International Symposium on Circuits and Systems proceedings
- On the Performance of Quantized Neural Networks based Digital Predistortion for PA linearization in OFDM systemsAlexis Falempin, Johan Laurent, Jean‐Baptiste Doré · 2022 · IEEE Vehicular Technology Conference
- Model Compression Techniques in Deep Neural NetworksMubarek Mohammed Yesuf, Beakal Gizachew Assefa · 2023 · Communications in computer and information science
- Emergent Quantized CommunicationBoaz Carmeli, Ron Meir, Yonatan Belinkov · 2023 · Proceedings of the AAAI Conference on Artificial Intelligence
- In-Memory Computing for AI Accelerators: Challenges and SolutionsGokul Krishnan V, Sumit K. Mandal, Chaitali Chakrabarti, Jae-sun Seo, Umit Yusuf Ogras, Yu Kevin Cao · 2023 · Springer eBooks
- A Light-Weighted Machine Learning Approach to Channel Estimation for New-Radio SystemsH. Lee, Sang Won Choi · 2023 · Electronics
- Efficient Defense Against Model Stealing Attacks on Convolutional Neural NetworksKacem Khaled, Mouna Dhaouadi, Felipe Göhring de Magalhães · 2023 · International Conference on Machine Learning and Applications
- Certified Quantization Strategy Synthesis for Neural NetworksYedi Zhang, Guangke Chen, Fu Song · 2024 · Lecture notes in computer science
- Integrating physical units into high-performance AI-driven scientific computingChaoming Wang, Sichao He, Shouwei Luo, Yuxiang Huan, Si Wu · 2025 · Nature Communications
- Real-time Hyper-Dimensional Reconfiguration at the Edge using Hardware AcceleratorsIndhumathi Kandaswamy, Saurabh Farkya, Zachary Daniels, Gooitzen van der Wal, Aswin Raghavan, Yuzheng Zhang, Jun Hu, Michael Lomnitz, Michael A. Isnardi, David Zhang et al. · 2022 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
- Detection of atrial fibrillation with an optimized neural network on a RISC-V-based microcontroller for efficient integration into ECG patchesIngo Hoyer, Alexander Utz, André Lüdecke, Mike Richter, Felix Wichum, Pierre Gembaczka, Kerstin Köhler, Maurice Rohr, Christoph Hoog Antink, Karsten Seidl · 2022 · IEEE International Symposium on Medical Measurements and Applications (MeMeA)
- IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network QuantizationYunshan Zhong, Mingbao Lin, Gongrui Nan, Jianzhuang Liu, Baochang Zhang, Yonghong Tian, Rongrong Ji · 2021 · arXiv (Cornell University)
- Experimental Implementation of a Neural Network Optical Channel Equalizer in Restricted Hardware Using Pruning and QuantizationDiego Argüello Ron, Pedro Jorge Freire De Carvalho Sourza, Jaroslaw E. Prilepsky · 2022 · Research Square
- Model Quantization and Hardware Acceleration for Vision Transformers: A Comprehensive SurveyDu, Dayou, Gong, Gu, Chu, Xiaowen · 2024 · arXiv
- On the Robustness of Compressed Models with Class ImbalanceBaraa Saeed Ali, Nabil J. Sarhan, Mohammed Alawad · 2024 · Computers
- Accelerating Inference of Networks in the Frequency DomainChenqiu Zhao, Guanfang Dong, Anup Basu · 2024 · ACM International Conference on Multimedia in Asia (MMAsia)
- Training 4.6-Bit Convolutional Neural Networks with a HardTanh Activation FunctionA. V. Trusov · 2025 · Pattern Recognition and Image Analysis
- LightML: A Photonic Accelerator for Efficient General Purpose Machine LearningLiang Liu, Sadra Rahimi Kari, Xin Xin, Nathan Youngblood, Youtao Zhang, Jun Yang · 2025 · Proceedings - International Symposium on Computer Architecture/Proceedings
- Unsupervised Real-Time In-Kernel Intrusion Detection System Using Autoencoders and eBPFHotaka Taguchi, Takanori Hara, Shoji Kasahara · 2025 · IEICE Transactions on Communications
- ORQ-ViT: Outlier resilient Post Training Quantization for vision transformers via outlier decompositionXinyu He, Lu Ye, Hang Liu, Cheng Gong, Wenxuan He · 2025 · Journal of Systems Architecture
- Is Quantization a Deal-Breaker? Empirical Insights From Large Code ModelsSaima Afrin, Bowen Xu, Antonio Mastropaolo · 2025 · IEEE International Conference on Software Maintenance (ICSM)
- Rapid wavefield forecasting for earthquake early warning via deep sequence to sequence learningDongwei Lyu, Rie Nakata, Pu Ren · 2025 · Nature Communications
- Real-Time Visual Perception and Explainable Fault Diagnosis for Railway Point Machines at the EdgeYu Feng Zhai, Lili Wei · 2026 · Electronics
- KVC-Q: A high-fidelity and dynamic KV Cache quantization framework for long-context large language modelsYusen Wu, Ruiqin Lin, Jiarong Que, Qixiang Zeng, Hongsen Zhang · 2026 · Journal of Systems Architecture
- Real-time fruit quality assessment using optimized cnn models on low-power edge devicesManel Hentati, Raida Hentati, Olfa Gaddour · 2026 · Multimedia Tools and Applications
- Train Flat, Then Compress: Sharpness-Aware Minimization Learns More Compressible ModelsClara Na, Sanket Vaibhav Mehta, Emma Strubell · 2022 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
- Cross-Layer Optimizations for Efficient Deep Learning Inference at the EdgeMuhammad Abdullah Hanif, Muhammad Shafique · 2023 · Springer eBooks