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Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups


Nov 30, 2016
Yani Ioannou, Duncan Robertson, Roberto Cipolla, Antonio Criminisi

* Updated full version of paper, in full letter paper two-column paper. Includes many textual changes, updated CIFAR10 results, and new analysis of inter/intra-layer correlation 

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Refining Architectures of Deep Convolutional Neural Networks


Apr 22, 2016
Sukrit Shankar, Duncan Robertson, Yani Ioannou, Antonio Criminisi, Roberto Cipolla

* 9 pages, 6 figures, CVPR 2016 

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Decision Forests, Convolutional Networks and the Models in-Between


Mar 03, 2016
Yani Ioannou, Duncan Robertson, Darko Zikic, Peter Kontschieder, Jamie Shotton, Matthew Brown, Antonio Criminisi

* Microsoft Research Technical Report 

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Training CNNs with Low-Rank Filters for Efficient Image Classification


Feb 07, 2016
Yani Ioannou, Duncan Robertson, Jamie Shotton, Roberto Cipolla, Antonio Criminisi

* International Conference on Learning Representations (ICLR), San Juan, Puerto Rico, 2-4 May 2016 
* Published as a conference paper at ICLR 2016. v3: updated ICLR status. v2: Incorporated reviewer's feedback including: Amend Fig. 2 and 5 descriptions to explain that there are no ReLUs within the figures. Fix headings of Table 5 - Fix typo in the sentence at bottom of page 6. Add ref. to Predicting Parameters in Deep Learning. Fix Table 6, GMP-LR and GMP-LR-2x had incorrect numbers of filters 

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