Mingxing Tan

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Research Areas
Machine Intelligence
Machine Perception

Papers40 papers

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By YearBy Citation

AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures

Michael S. Ryoo, AJ Piergiovanni,Mingxing Tan,Anelia Angelova

ICLR, (2020)

EIBibtex

Shape-Texture Debiased Neural Network Training

Yingwei Li,Qihang Yu,Mingxing Tan,Jieru Mei,Peng Tang,Wei Shen,Alan Yuille,Cihang Xie

international conference on learning representations, (2020)

Bibtex

PyGlove: Symbolic Programming for Automated Machine Learning

Daiyi Peng,Xuanyi Dong, Esteban Real,Mingxing Tan,Yifeng Lu,Gabriel Bender,Hanxiao Liu, Adam Kraft,Chen Liang,Quoc V Le

NIPS 2020, (2020)

EIBibtex

Smooth Adversarial Training

Cihang Xie,Mingxing Tan,Boqing Gong,Alan Yuille,Quoc V. Le

Bibtex

AutoHAS: Differentiable Hyper-parameter and Architecture Search

Dong Xuanyi,Tan Mingxing, Yu Adams Wei, Peng Daiyi,Gabrys Bogdan,Le Quoc V.

Bibtex

Go Wide, Then Narrow: Efficient Training of Deep Thin Networks

Denny Zhou, Mao Ye, Chen Chen,Mingxing Tan,Tianjian Meng,Xiaodan Song,Quoc Le,Qiang Liu, Dale Schuurmans

ICML, pp.11546-11555, (2020)

EIBibtex

When Ensembling Smaller Models is More Efficient than Single Large Models

Dan Kondratyuk,Mingxing Tan,Matthew Brown,Boqing Gong

arxiv, (2020)

Bibtex

MobileDets: Searching for Object Detection Architectures for Mobile Accelerators

Xiong Yunyang,Liu Hanxiao, Gupta Suyog, Akin Berkin,Bender Gabriel, Kindermans Pieter-Jan,Tan Mingxing,Singh Vikas,Chen Bo

Bibtex

Efficient Scale-Permuted Backbone with Learned Resource Distribution

Xianzhi Du,Tsung-Yi Lin,Pengchong Jin,Yin Cui,Mingxing Tan,Quoc Le, Xiaodan Song

european conference on computer vision, pp.572-586, (2020)

Bibtex

BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models

Yu Jiahui,Jin Pengchong,Liu Hanxiao,Bender Gabriel, Kindermans Pieter-Jan,Tan Mingxing,Huang Thomas, Song Xiaodan,Pang Ruoming,Le Quoc

european conference on computer vision, pp.702-717, (2020)

Cited by2Bibtex

Adversarial Examples Improve Image Recognition

Xie Cihang,Tan Mingxing,Gong Boqing,Wang Jiang,Yuille Alan,Le Quoc V.

CVPR, pp.816-825, (2019)

Cited by20EIBibtex

SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization

Du Xianzhi,Lin Tsung-Yi,Jin Pengchong,Ghiasi Golnaz,Tan Mingxing,Cui Yin,Le Quoc V., Song Xiaodan

CVPR, pp.11589-11598, (2019)

Cited by6EIBibtex

Search to Distill: Pearls are Everywhere but not the Eyes

Liu Yu,Jia Xuhui,Tan Mingxing,Vemulapalli Raviteja,Zhu Yukun,Green Bradley,Wang Xiaogang

CVPR, pp.7536-7545, (2019)

Cited by2EIBibtex

EfficientDet: Scalable and Efficient Object Detection

Tan Mingxing,Pang Ruoming,Le Quoc V.

CVPR, pp.10778-10787, (2019)

Cited by45EIBibtex

Neural Architecture Search Over a Graph Search Space

Jastrzębski Stanisław, de Laroussilhe Quentin,Tan Mingxing, Ma Xiao,Houlsby Neil,Gesmundo Andrea

Bibtex

MixNet: Mixed Depthwise Convolutional Kernels

Tan Mingxing,Le Quoc V.

Bibtex

Searching for MobileNetV3

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

ICCV, pp.1314-1324, (2019)

Cited by167EIBibtex

MnasNet: Platform-Aware Neural Architecture Search for Mobile

Mingxing Tan,Bo Chen,Ruoming Pang,Vijay Vasudevan,Quoc V. Le

CVPR, (2019): 2820-2828

Cited by472EIBibtex

Searching for MobileNetV3

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

CoRR, (2019)

Cited by233EIBibtex

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Mingxing Tan,Quoc V. Le

International Conference on Machine Learning, (2019): 6105-6114

Cited by562EIBibtex

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