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How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS

Mar 09, 2020
Kaicheng Yu, Rene Ranftl, Mathieu Salzmann


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Recurrent U-Net for Resource-Constrained Segmentation

Jun 11, 2019
Wei Wang, Kaicheng Yu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann

* arXiv admin note: substantial text overlap with arXiv:1811.10914 

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Overcoming Multi-Model Forgetting

Mar 02, 2019
Yassine Benyahia, Kaicheng Yu, Kamil Bennani-Smires, Martin Jaggi, Anthony Davison, Mathieu Salzmann, Claudiu Musat


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Evaluating the Search Phase of Neural Architecture Search

Feb 21, 2019
Christian Sciuto, Kaicheng Yu, Martin Jaggi, Claudiu Musat, Mathieu Salzmann

* We find that random policy in NAS works amazingly well and propose an evaluation framework to have a fair comparison. 8 pages 

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Beyond One Glance: Gated Recurrent Architecture for Hand Segmentation

Dec 12, 2018
Wei Wang, Kaicheng Yu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann

* The first two authors contribute equally 

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Statistically Motivated Second Order Pooling

Jul 16, 2018
Kaicheng Yu, Mathieu Salzmann

* Accepted to ECCV 2018. Camera ready version. 14 page, 5 figures, 3 tables 

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Second-order Convolutional Neural Networks

Mar 20, 2017
Kaicheng Yu, Mathieu Salzmann


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