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24 Results
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Poster
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Tue 7:45 |
A Simple Cache Model for Image Recognition Emin Orhan |
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Poster
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Thu 14:00 |
The Convergence of Sparsified Gradient Methods Dan Alistarh · Torsten Hoefler · Mikael Johansson · Nikola Konstantinov · Sarit Khirirat · Cedric Renggli |
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Poster
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Tue 7:45 |
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training Mingchao Yu · Zhifeng Lin · Krishna Narra · Songze Li · Youjie Li · Nam Sung Kim · Alex Schwing · Murali Annavaram · Salman Avestimehr |
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Poster
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Thu 14:00 |
Efficient Anomaly Detection via Matrix Sketching Vatsal Sharan · Parikshit Gopalan · Udi Wieder |
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Poster
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Wed 7:45 |
Fast deep reinforcement learning using online adjustments from the past Steven Hansen · Alexander Pritzel · Pablo Sprechmann · Andre Barreto · Charles Blundell |
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Poster
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Thu 14:00 |
Optimal Algorithms for Non-Smooth Distributed Optimization in Networks Kevin Scaman · Francis Bach · Sebastien Bubeck · Laurent Massoulié · Yin Tat Lee |
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Poster
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Tue 7:45 |
Variational Memory Encoder-Decoder Hung Le · Truyen Tran · Thin Nguyen · Svetha Venkatesh |
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Poster
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Tue 7:45 |
Gradient Sparsification for Communication-Efficient Distributed Optimization Jianqiao Wangni · Jialei Wang · Ji Liu · Tong Zhang |
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Poster
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Wed 7:45 |
ATOMO: Communication-efficient Learning via Atomic Sparsification Hongyi Wang · Scott Sievert · Shengchao Liu · Zachary Charles · Dimitris Papailiopoulos · Stephen Wright |
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Poster
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Wed 7:45 |
Learning Attractor Dynamics for Generative Memory Yan Wu · Gregory Wayne · Karol Gregor · Timothy Lillicrap |
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Poster
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Tue 14:00 |
Generalisation of structural knowledge in the hippocampal-entorhinal system James Whittington · Timothy Muller · Shirely Mark · Caswell Barry · Tim Behrens |
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Poster
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Wed 7:45 |
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training Youjie Li · Mingchao Yu · Songze Li · Salman Avestimehr · Nam Sung Kim · Alex Schwing |