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 | 318 | 2019 |
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 | 41 | 2021 |
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 | 32 | 2019 |
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 | 29 | 2021 |
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 | 12 | 2019 |
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 | 6 | 2019 |
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 | 1 | 2023 |
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 | 1 | 2023 |
Exploring the Limits of Semantic Image Compression at Micro-bits per Pixel J Dotzel, B Kotb, J Dotzel, MS Abdelfattah, Z Zhang The Second Tiny Papers Track at ICLR 2024, 0 | | |