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10 Results
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Poster
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Tue 7:45 |
Moonshine: Distilling with Cheap Convolutions Elliot Crowley · Gavia Gray · Amos Storkey |
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Poster
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Wed 14:00 |
COLA: Decentralized Linear Learning Lie He · Yatao Bian · Martin Jaggi |
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Poster
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Tue 7:45 |
On Neuronal Capacity Pierre Baldi · Roman Vershynin |
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Poster
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Wed 7:45 |
Tangent: Automatic differentiation using source-code transformation for dynamically typed array programming Bart van Merriënboer · Dan Moldovan · Alexander Wiltschko |
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Poster
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Thu 7:45 |
Automatic differentiation in ML: Where we are and where we should be going Bart van Merriënboer · Olivier Breuleux · Arnaud Bergeron · Pascal Lamblin |
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Poster
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Thu 7:45 |
A Model for Learned Bloom Filters and Optimizing by Sandwiching Michael Mitzenmacher |
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Poster
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Tue 14:00 |
Learning to Optimize Tensor Programs Tianqi Chen · Lianmin Zheng · Eddie Yan · Ziheng Jiang · Thierry Moreau · Luis Ceze · Carlos Guestrin · Arvind Krishnamurthy |
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Poster
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Tue 7:45 |
Heterogeneous Bitwidth Binarization in Convolutional Neural Networks Joshua Fromm · Shwetak Patel · Matthai Philipose |
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Poster
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Tue 14:00 |
Training Deep Neural Networks with 8-bit Floating Point Numbers Naigang Wang · Jungwook Choi · Daniel Brand · Chia-Yu Chen · Kailash Gopalakrishnan |
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Poster
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Tue 14:00 |
Snap ML: A Hierarchical Framework for Machine Learning Celestine Dünner · Thomas Parnell · Dimitrios Sarigiannis · Nikolas Ioannou · Andreea Anghel · Gummadi Ravi · Madhusudanan Kandasamy · Haralampos Pozidis |