MS

Mark Sandler

0000-0003-0352-6051

cs.CVcs.LGstat.ML

On Valency

published · living versions

MobileNetV2: Inverted Residuals and Linear Bottlenecks

with Andrew Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh Chen

1 version

W_32x3r2a2v1 · current

Preprints & journals

9 papers in the corpus · 2017–2021

SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection

Keren Ye, Adriana Kovashka, Mark Sandler et al.

5 citations

2101.01260v12021arXiv

Large-Scale Generative Data-Free Distillation

Liangchen Luo, Mark Sandler, Zi Lin et al.

29 citations

2012.05578v12020arXiv

Structured Multi-Hashing for Model Compression

Elad Eban, Yair Movshovitz-Attias, Hao Wu et al.

12 citations

1911.11177v12019arXiv

Non-discriminative data or weak model? On the relative importance of data and model resolution

Mark Sandler, Jonathan Baccash, Andrey Zhmoginov et al.

33 citations

1909.03205v22019arXiv

Searching for MobileNetV3

Andrew Howard, Mark Sandler, Grace Chu et al.

9,605 citations

1905.02244v52019arXiv

MnasNet: Platform-Aware Neural Architecture Search for Mobile

Mingxing Tan, Bo Chen, Ruoming Pang et al.

3,412 citations

1807.11626v32018CVPR 2019

NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications

Tien-Ju Yang, Andrew Howard, Bo Chen et al.

572 citations

1804.03230v22018arXiv

MobileNetV2: Inverted Residuals and Linear Bottlenecks

Mark Sandler, Andrew Howard, Menglong Zhu et al.

28,599 citations

1801.04381v42018The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018, pp. 4510-4520

The Power of Sparsity in Convolutional Neural Networks

Soravit Changpinyo, Mark Sandler, Andrey Zhmoginov

116 citations

1702.06257v12017arXiv

Career total: 15 works. 9 are in this corpus.

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