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21 Results
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Poster
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Sun 0:15 |
Keynote #5: Jonas Pfeiffer – Google DeepMind Eric Nalisnick · Akihiro Matsukawa · Yee Whye Teh · Dilan Gorur · Balaji Lakshminarayanan |
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Poster
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Thu 14:30 |
Distribution-Interpolation Trade off in Generative Models Damian Leśniak · Igor Sieradzki · Igor Podolak |
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Poster
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Thu 9:00 |
textTOvec: DEEP CONTEXTUALIZED NEURAL AUTOREGRESSIVE TOPIC MODELS OF LANGUAGE WITH DISTRIBUTED COMPOSITIONAL PRIOR Pankaj Gupta · Yatin Chaudhary · Florian Buettner · Hinrich Schuetze |
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Poster
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Tue 9:00 |
A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery Ali Mousavi · Gautam Dasarathy · Richard Baraniuk |
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Poster
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Wed 14:30 |
Local SGD Converges Fast and Communicates Little Sebastian Stich |
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Poster
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Wed 14:30 |
ANYTIME MINIBATCH: EXPLOITING STRAGGLERS IN ONLINE DISTRIBUTED OPTIMIZATION Nuwan Ferdinand · Haider Al-Lawati · Stark Draper · Matthew Nokleby |
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Poster
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Wed 14:30 |
Analysis of Quantized Models LU HOU · Ruiliang Zhang · James Kwok |
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Poster
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Thu 14:30 |
Toward Understanding the Impact of Staleness in Distributed Machine Learning Wei Dai · Yi Zhou · Nanqing Dong · Hao Zhang · Eric Xing |
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Poster
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Thu 14:30 |
The Deep Weight Prior Andrei Atanov · Arsenii Ashukha · Kirill Struminsky · Dmitry P. Vetrov · Max Welling |
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Poster
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Wed 14:30 |
signSGD with Majority Vote is Communication Efficient and Fault Tolerant Jeremy Bernstein · Jiawei Zhao · Kamyar Azizzadenesheli · Anima Anandkumar |
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Poster
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Thu 9:00 |
Improving Differentiable Neural Computers Through Memory Masking, De-allocation, and Link Distribution Sharpness Control Robert Csordas · Jürgen Schmidhuber |
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Poster
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Tue 14:30 |
DISTRIBUTIONAL CONCAVITY REGULARIZATION FOR GANS Shoichiro Yamaguchi · Masanori Koyama |