April 20, 2020 preprint Open access Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation arXiv (Cornell University) DOI: 10.48550/arxiv.2004.09602 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 214 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access FPGA-based Deep Learning Inference Accelerators: Where Are We Standing? 2023 ACM Transactions on Reconfigurable Technology and Systems article Computer Science Embedded Systems Design Techniques Open access 73 citations Reduced Precision Strategies for Deep Learning : A High Energy Physics Generative Adversarial Network Use Case 2021 RWTH Publications (RWTH Aachen) conference-paper Computer Science Advanced Neural Network Applications Open access 12 citations 2 results References 0