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BasisNet: Two-stage Model Synthesis for Efficient Inference


May 07, 2021
Mingda Zhang, Chun-Te Chu, Andrey Zhmoginov, Andrew Howard, Brendan Jou, Yukun Zhu, Li Zhang, Rebecca Hwa, Adriana Kovashka

* To appear, 4th Workshop on Efficient Deep Learning for Computer Vision (ECV2021), CVPR2021 Workshop 

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Meta-Learning Bidirectional Update Rules


Apr 10, 2021
Mark Sandler, Max Vladymyrov, Andrey Zhmoginov, Nolan Miller, Andrew Jackson, Tom Madams, Blaise Aguera y Arcas


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Large-Scale Generative Data-Free Distillation


Dec 10, 2020
Liangchen Luo, Mark Sandler, Zi Lin, Andrey Zhmoginov, Andrew Howard


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Image segmentation via Cellular Automata


Aug 13, 2020
Mark Sandler, Andrey Zhmoginov, Liangcheng Luo, Alexander Mordvintsev, Ettore Randazzo, Blaise Agúera y Arcas


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


Oct 17, 2019
Mark Sandler, Jonathan Baccash, Andrey Zhmoginov, Andrew Howard

* ICCV 2019 Workshop on Real-World Recognition from Low-Quality Images and Videos 

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Information-Bottleneck Approach to Salient Region Discovery


Jul 22, 2019
Andrey Zhmoginov, Ian Fischer, Mark Sandler


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K For The Price Of 1: Parameter Efficient Multi-task And Transfer Learning


Oct 25, 2018
Pramod Kaushik Mudrakarta, Mark Sandler, Andrey Zhmoginov, Andrew Howard


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MobileNetV2: Inverted Residuals and Linear Bottlenecks


Apr 02, 2018
Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh Chen


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CycleGAN, a Master of Steganography


Dec 16, 2017
Casey Chu, Andrey Zhmoginov, Mark Sandler

* NIPS 2017, workshop on Machine Deception 

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The Power of Sparsity in Convolutional Neural Networks


Feb 21, 2017
Soravit Changpinyo, Mark Sandler, Andrey Zhmoginov


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Inverting face embeddings with convolutional neural networks


Jul 07, 2016
Andrey Zhmoginov, Mark Sandler


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