Dotzel, Jordan

4 publications

AutoML 2024 FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search Jordan Dotzel, Gang Wu, Andrew Li, Muhammad Umar, Yun Ni, Mohamed S Abdelfattah, Zhiru Zhang, Liqun Cheng, Martin G Dixon, Norman P Jouppi, Quoc V Le, Sheng Li

ICML 2024 Learning from Students: Applying T-Distributions to Explore Accurate and Efficient Formats for LLMs Jordan Dotzel, Yuzong Chen, Bahaa Kotb, Sushma Prasad, Gang Wu, Sheng Li, Mohamed S Abdelfattah, Zhiru Zhang

CVPR 2019 Building Efficient Deep Neural Networks with Unitary Group Convolutions Ritchie Zhao, Yuwei Hu, Jordan Dotzel, Christopher De Sa, Zhiru Zhang

ICML 2019 Improving Neural Network Quantization Without Retraining Using Outlier Channel Splitting Ritchie Zhao, Yuwei Hu, Jordan Dotzel, Chris De Sa, Zhiru Zhang