Andrew G. Howard
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
7
Active years
2004–2024
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | CVPR | PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks. | 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 |
| 2024 | ECCV | MobileNetV4: Universal Models for the Mobile Ecosystem. | 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 G. Howard |
| 2022 | ECCV | On Label Granularity and Object Localization. | Elijah Cole, Kimberly Wilber, Grant Van Horn, Xuan Yang, Marco Fornoni, Pietro Perona, Serge J. Belongie, Andrew G. Howard, Oisin Mac Aodha |
| 2021 | WACV | Multi-path Neural Networks for On-device Multi-domain Visual Classification. | Qifei Wang, Junjie Ke, Joshua Greaves, Grace Chu, Gabriel Bender, Luciano Sbaiz, Alec Go, Andrew G. Howard, Ming-Hsuan Yang, Jeff Gilbert, Peyman Milanfar, Feng Yang |
| 2020 | ACCV | SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection. | Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew G. Howard, Marco Fornoni |
| 2020 | ECCV | SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection. | Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew G. Howard, Marco Fornoni |
| 2019 | ICLR | K for the Price of 1: Parameter-efficient Multi-task and Transfer Learning. | Pramod Kaushik Mudrakarta, Mark Sandler, Andrey Zhmoginov, Andrew G. Howard |
| 2018 | CVPR | Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference. | Benoit Jacob, Skirmantas Kligys, Bo Chen, Menglong Zhu, Matthew Tang, Andrew G. Howard, Hartwig Adam, Dmitry Kalenichenko |
| 2018 | CVPR | MobileNetV2: Inverted Residuals and Linear Bottlenecks. | Mark Sandler, Andrew G. Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh Chen |
| 2018 | ECCV | NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications. | Tien-Ju Yang, Andrew G. Howard, Bo Chen, Xiao Zhang, Alec Go, Mark Sandler, Vivienne Sze, Hartwig Adam |
| 2009 | ICMLA | Transformation Learning Via Kernel Alignment. | Andrew G. Howard, Tony Jebara |
| 2004 | UAI | Dynamical Systems Trees. | Andrew G. Howard, Tony Jebara |