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Jordan Dotzel
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Improving neural network quantization without retraining using outlier channel splitting
R Zhao, Y Hu, J Dotzel, C De Sa, Z Zhang
International conference on machine learning, 7543-7552, 2019
3102019
Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-design
C Hao, J Dotzel, J Xiong, L Benini, Z Zhang, D Chen
arXiv preprint arXiv:2103.15750, 2021
382021
Building efficient deep neural networks with unitary group convolutions
R Zhao, Y Hu, J Dotzel, CD Sa, Z Zhang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
322019
Logic synthesis meets machine learning: Trading exactness for generalization
S Rai, WL Neto, Y Miyasaka, X Zhang, M Yu, Q Yi, M Fujita, GB Manske, ...
2021 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2021
292021
Improving neural network quantization using outlier channel splitting
R Zhao, Y Hu, J Dotzel, C De Sa, Z Zhang
arXiv preprint arXiv:1901.09504 1 (2), 2019
122019
OverQ: Opportunistic outlier quantization for neural network accelerators
R Zhao, J Dotzel, Z Hu, P Ivanov, C De Sa, Z Zhang
arXiv preprint arXiv:1910.06909, 2019
62019
FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search
J Dotzel, G Wu, A Li, M Umar, Y Ni, MS Abdelfattah, Z Zhang, L Cheng, ...
arXiv preprint arXiv:2308.03290, 2023
12023
Exploring the Limits of Semantic Image Compression at Micro-bits per Pixel
J Dotzel, B Kotb, J Dotzel, M Abdelfattah, Z Zhang
arXiv preprint arXiv:2402.13536, 2024
2024
M4BRAM: Mixed-Precision Matrix-Matrix Multiplication in FPGA Block RAMs
Y Chen, J Dotzel, MS Abdelfattah
2023 International Conference on Field Programmable Technology (ICFPT), 69-78, 2023
2023
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