Chas Leichner

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 6

Top Topics

Multiobjective Optimization

Neural Architecture

Pareto Optimality

Conflicting Objectives

Top Venues

Publications

Danfeng Qin, Chas Leichner, Manolis Delakis, Marco Fornoni, Shixin Luo, Fan Yang, Weijun Wang, Colby R. Banbury, Chengxi Ye, Berkin Akin, Vaibhav Aggarwal, Tenghui Zhu, Daniele Moro, Andrew Howard
MobileNetV4 - Universal Models for the Mobile Ecosystem. CoRR (2024)
Marina Neseem, Conor McCullough, Randy Hsin, Chas Leichner, Shan Li, In Suk Chong, Andrew G. Howard, Lukasz Lew, Sherief Reda, Ville-Mikko Rautio, Daniele Moro
PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks. CoRR (2024)
Zechun Liu, Zhiqiang Shen, Yun Long, Eric P. Xing, Kwang-Ting Cheng, Chas Leichner
Data-Free Neural Architecture Search via Recursive Label Calibration. ECCV (24) (2022)
AmirAli Abdolrashidi, Lisa Wang, Shivani Agrawal, Jonathan Malmaud, Oleg Rybakov, Chas Leichner, Lukasz Lew
Pareto-Optimal Quantized ResNet Is Mostly 4-bit. CoRR (2021)
AmirAli Abdolrashidi, Lisa Wang, Shivani Agrawal, Jonathan Malmaud, Oleg Rybakov, Chas Leichner, Lukasz Lew
Pareto-Optimal Quantized ResNet Is Mostly 4-Bit. CVPR Workshops (2021)
Zechun Liu, Zhiqiang Shen, Yun Long, Eric P. Xing, Kwang-Ting Cheng, Chas Leichner
Data-Free Neural Architecture Search via Recursive Label Calibration. CoRR (2021)