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ORCIDLukasz Lew
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2020 – today
- 2024
[c9]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. CVPR 2024: 15996-16005- [i7]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 abs/2404.00103 (2024) - [i6]Matt Schoenbauer, Daniele Moro, Lukasz Lew, Andrew Howard:
Custom Gradient Estimators are Straight-Through Estimators in Disguise. CoRR abs/2405.05171 (2024) - [i5]Chengxi Ye, Grace Chu, Yanfeng Liu, Yichi Zhang, Lukasz Lew, Andrew G. Howard:
Robust Training of Neural Networks at Arbitrary Precision and Sparsity. CoRR abs/2409.09245 (2024) - 2023
- [c8]Yichi Zhang, Ankush Garg, Yuan Cao, Lukasz Lew, Behrooz Ghorbani, Zhiru Zhang, Orhan Firat:
Binarized Neural Machine Translation. NeurIPS 2023 - [i4]Yichi Zhang, Ankush Garg, Yuan Cao, Lukasz Lew, Behrooz Ghorbani, Zhiru Zhang, Orhan Firat:
Binarized Neural Machine Translation. CoRR abs/2302.04907 (2023) - 2022
- [c7]Yichi Zhang
, Zhiru Zhang, Lukasz Lew:
PokeBNN: A Binary Pursuit of Lightweight Accuracy. CVPR 2022: 12465-12475 - [c6]Shaojin Ding, Phoenix Meadowlark, Yanzhang He, Lukasz Lew, Shivani Agrawal, Oleg Rybakov:
4-bit Conformer with Native Quantization Aware Training for Speech Recognition. INTERSPEECH 2022: 1711-1715 - [i3]Shaojin Ding, Phoenix Meadowlark, Yanzhang He, Lukasz Lew, Shivani Agrawal, Oleg Rybakov:
4-bit Conformer with Native Quantization Aware Training for Speech Recognition. CoRR abs/2203.15952 (2022) - 2021
- [c5]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: 3091-3099 - [i2]AmirAli Abdolrashidi, Lisa Wang, Shivani Agrawal, Jonathan Malmaud, Oleg Rybakov, Chas Leichner, Lukasz Lew:
Pareto-Optimal Quantized ResNet Is Mostly 4-bit. CoRR abs/2105.03536 (2021) - [i1]Yichi Zhang, Zhiru Zhang, Lukasz Lew:
PokeBNN: A Binary Pursuit of Lightweight Accuracy. CoRR abs/2112.00133 (2021)
2010 – 2019
- 2017
- [c4]Denis Baylor, Eric Breck, Heng-Tze Cheng, Noah Fiedel, Chuan Yu Foo, Zakaria Haque, Salem Haykal, Mustafa Ispir, Vihan Jain, Levent Koc, Chiu Yuen Koo, Lukasz Lew, Clemens Mewald, Akshay Naresh Modi, Neoklis Polyzotis, Sukriti Ramesh, Sudip Roy, Steven Euijong Whang, Martin Wicke, Jarek Wilkiewicz, Xin Zhang, Martin Zinkevich:
TFX: A TensorFlow-Based Production-Scale Machine Learning Platform. KDD 2017: 1387-1395 - 2011
- [c3]Zbigniew Suraj, Piotr Grochowalski, Lukasz Lew:
Pawlak Collaboration Graph and Its Properties. RSFDGrC 2011: 365-368 - [c2]Zbigniew Suraj, Piotr Grochowalski, Lukasz Lew:
Discovering Patterns of Collaboration in Rough Set Research: Statistical and Graph-Theoretical Approach. RSKT 2011: 238-247
2000 – 2009
- 2006
- [c1]Jakub Pawlewicz, Lukasz Lew:
Improving Depth-First PN-Search: 1 + epsilon Trick. Computers and Games 2006: 160-171
Coauthor Index
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