Howard, Andrew

15 publications

ECCV 2024 MobileNetV4: Universal Models for the Mobile Ecosystem Danfeng Qin, Chas H Leichner, Manolis Delakis, Marco Fornoni, Shixin Luo, Fan Yang, Weijun Wang, Colby Banbury, Chengxi Ye, Berkin Akin, Vaibhav Aggarwal, Tenghui Zhu, Daniele Moro, Andrew Howard

CVPR 2024 PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks Marina Neseem, Conor McCullough, Randy Hsin, Chas Leichner, Shan Li, In Suk Chong, Andrew Howard, Lukasz Lew, Sherief Reda, Ville-Mikko Rautio, Daniele Moro

NeurIPS 2023 ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation Shuyang Sun, Weijun Wang, Andrew Howard, Qihang Yu, Philip Torr, Liang-Chieh Chen

ECCV 2022 On Label Granularity and Object Localization Elijah Cole, Kimberly Wilber, Grant Van Horn, Xuan Yang, Marco Fornoni, Pietro Perona, Serge Belongie, Andrew Howard, Oisin Mac Aodha

CVPRW 2021 BasisNet: Two-Stage Model Synthesis for Efficient Inference Mingda Zhang, Chun-Te Chu, Andrey Zhmoginov, Andrew Howard, Brendan Jou, Yukun Zhu, Li Zhang, Rebecca Hwa, Adriana Kovashka

CVPRW 2021 Discovering Multi-Hardware Mobile Models via Architecture Search Grace Chu, Okan Arikan, Gabriel Bender, Weijun Wang, Achille Brighton, Pieter-Jan Kindermans, Hanxiao Liu, Berkin Akin, Suyog Gupta, Andrew Howard

WACV 2021 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 Howard, Ming-Hsuan Yang, Jeff Gilbert, Peyman Milanfar, Feng Yang

ICCVW 2019 Geo-Aware Networks for Fine-Grained Recognition Grace Chu, Brian Potetz, Weijun Wang, Andrew Howard, Yang Song, Fernando Brucher, Thomas Leung, Hartwig Adam

ICLR 2019 K for the Price of 1: Parameter-Efficient Multi-Task and Transfer Learning Pramod Kaushik Mudrakarta, Mark Sandler, Andrey Zhmoginov, Andrew Howard

ICCVW 2019 Non-Discriminative Data or Weak Model? on the Relative Importance of Data and Model Resolution Mark Sandler, Jonathan Baccash, Andrey Zhmoginov, Andrew Howard

ECCV 2018 NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications Tien-Ju Yang, Andrew Howard, Bo Chen, Xiao Zhang, Alec Go, Mark Sandler, Vivienne Sze, Hartwig Adam

ECCV 2016 The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei

NeurIPS 2007 Learning Monotonic Transformations for Classification Andrew Howard, Tony Jebara

AISTATS 2007 Multi-Object Tracking with Representations of the Symmetric Group Risi Kondor, Andrew Howard, Tony Jebara

JMLR 2004 Probability Product Kernels (Special Topic on Learning Theory) Tony Jebara, Risi Kondor, Andrew Howard