Andrew Howard

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Transfer Learning

Visual Classification

Neural Architecture

Energy Dissipation

Top Venues

Publications

Matt Schoenbauer, Daniele Moro, Lukasz Lew, Andrew Howard
Custom Gradient Estimators are Straight-Through Estimators in Disguise. CoRR (2024)
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)
Grace Chu, Okan Arikan, Gabriel Bender, Weijun Wang, Achille Brighton, Pieter-Jan Kindermans, Hanxiao Liu, Berkin Akin, Suyog Gupta, Andrew Howard
Discovering Multi-Hardware Mobile Models via Architecture Search. CVPR Workshops (2021)
Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew Howard, Marco Fornoni
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection. CoRR (2021)
Weijun Wang, Andrew Howard
MOSAIC: Mobile Segmentation via decoding Aggregated Information and encoded Context. CoRR (2021)
Mingda Zhang, Chun-Te Chu, Andrey Zhmoginov, Andrew Howard, Brendan Jou, Yukun Zhu, Li Zhang, Rebecca Hwa, Adriana Kovashka
BasisNet: Two-Stage Model Synthesis for Efficient Inference. CVPR Workshops (2021)
Grace Chu, Okan Arikan, Gabriel Bender, Weijun Wang, Achille Brighton, Pieter-Jan Kindermans, Hanxiao Liu, Berkin Akin, Suyog Gupta, Andrew Howard
Discovering Multi-Hardware Mobile Models via Architecture Search. CoRR (2020)
Qifei Wang, Junjie Ke, Joshua Greaves, Grace Chu, Gabriel Bender, Luciano Sbaiz, Alec Go, Andrew Howard, Feng Yang, Ming-Hsuan Yang, Jeff Gilbert, Peyman Milanfar
Multi-path Neural Networks for On-device Multi-domain Visual Classification. CoRR (2020)
Liangchen Luo, Mark Sandler, Zi Lin, Andrey Zhmoginov, Andrew Howard
Large-Scale Generative Data-Free Distillation. CoRR (2020)
Andrew Howard, Mark Sandler, Grace Chu, Liang-Chieh Chen, Bo Chen, Mingxing Tan, Weijun Wang, Yukun Zhu, Ruoming Pang, Vijay Vasudevan, Quoc V. Le, Hartwig Adam
Searching for MobileNetV3. CoRR (2019)
Mark Sandler, Jonathan Baccash, Andrey Zhmoginov, Andrew Howard
Non-discriminative data or weak model? On the relative importance of data and model resolution. CoRR (2019)
Sergei Alyamkin, Matthew Ardi, Alexander C. Berg, Achille Brighton, Bo Chen, Yiran Chen, Hsin-Pai Cheng, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Abhinav Goel, Alexander Goncharenko, Xuyang Guo, Soonhoi Ha, Andrew Howard, Xiao Hu, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Jong-gook Ko, Alexander Kondratyev, Junhyeok Lee, Seungjae Lee, Suwoong Lee, Zichao Li, Zhiyu Liang, Juzheng Liu, Xin Liu, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Hong Hanh Nguyen, Eunbyung Park, Denis Repin, Liang Shen, Tao Sheng, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo
Low-Power Computer Vision: Status, Challenges, Opportunities. CoRR (2019)
Andrew Howard, Ruoming Pang, Hartwig Adam, Quoc V. Le, Mark Sandler, Bo Chen, Weijun Wang, Liang-Chieh Chen, Mingxing Tan, Grace Chu, Vijay Vasudevan, Yukun Zhu
Searching for MobileNetV3. ICCV (2019)
Mingxing Tan, Bo Chen, Ruoming Pang, Vijay Vasudevan, Mark Sandler, Andrew Howard, Quoc V. Le
MnasNet: Platform-Aware Neural Architecture Search for Mobile. CVPR (2019)
Grace Chu, Brian Potetz, Weijun Wang, Andrew Howard, Yang Song, Fernando Brucher, Thomas Leung, Hartwig Adam
Geo-Aware Networks for Fine Grained Recognition. CoRR (2019)
Aakanksha Chowdhery, Pete Warden, Jonathon Shlens, Andrew Howard, Rocky Rhodes
Visual Wake Words Dataset. CoRR (2019)
Sergei Alyamkin, Matthew Ardi, Alexander C. Berg, Achille Brighton, Bo Chen, Yiran Chen, Hsin-Pai Cheng, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Abhinav Goel, Alexander Goncharenko, Xuyang Guo, Soonhoi Ha, Andrew Howard, Xiao Hu, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Jong-gook Ko, Alexander Kondratyev, Junhyeok Lee, Seungjae Lee, Suwoong Lee, Zichao Li, Zhiyu Liang, Juzheng Liu, Xin Liu, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Hong Hanh Nguyen, Eunbyung Park, Denis Repin, Liang Shen, Tao Sheng, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo
Low-Power Computer Vision: Status, Challenges, and Opportunities. IEEE J. Emerg. Sel. Topics Circuits Syst. 9 (2) (2019)
Grace Chu, Brian Potetz, Weijun Wang, Andrew Howard, Yang Song, Fernando Brucher, Thomas Leung, Hartwig Adam
Geo-Aware Networks for Fine-Grained Recognition. ICCV Workshops (2019)
Mark Sandler, Jonathan Baccash, Andrey Zhmoginov, Andrew Howard
Non-Discriminative Data or Weak Model? On the Relative Importance of Data and Model Resolution. ICCV Workshops (2019)
Yin Cui, Yang Song, Chen Sun, Andrew Howard, Serge J. Belongie
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CoRR (2018)
Yin Cui, Yang Song, Chen Sun, Andrew Howard, Serge J. Belongie
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR (2018)
Sergei Alyamkin, Matthew Ardi, Achille Brighton, Alexander C. Berg, Yiran Chen, Hsin-Pai Cheng, Bo Chen, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Jongkook Go, Alexander Goncharenko, Xuyang Guo, Hong Hanh Nguyen, Andrew Howard, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Alexander Kondratyev, Seungjae Lee, Suwoong Lee, Junhyeok Lee, Zhiyu Liang, Xin Liu, Juzheng Liu, Zichao Li, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Eunbyung Park, Denis Repin, Tao Sheng, Liang Shen, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo
2018 Low-Power Image Recognition Challenge. CoRR (2018)