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Poster
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Thu 10:45
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Backprop with Approximate Activations for Memory-efficient Network Training
Ayan Chakrabarti · Benjamin Moseley
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Poster
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Thu 10:45
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E2-Train: Training State-of-the-art CNNs with Over 80% Less Energy
Ziyu Jiang · Yue Wang · Xiaohan Chen · Pengfei Xu · Yang Zhao · Yingyan Lin · Zhangyang Wang
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Poster
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Thu 10:45
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A Graph Theoretic Framework of Recomputation Algorithms for Memory-Efficient Backpropagation
Mitsuru Kusumoto · Takuya Inoue · Gentaro Watanabe · Takuya Akiba · Masanori Koyama
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Poster
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Tue 17:30
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A Communication Efficient Stochastic Multi-Block Alternating Direction Method of Multipliers
Hao Yu
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Workshop
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Fri 10:30
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Adaptive gradient methods: efficient implementation and generalization
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Poster
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Tue 10:45
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Root Mean Square Layer Normalization
Biao Zhang · Rico Sennrich
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Poster
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Tue 17:30
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Tight Sample Complexity of Learning One-hidden-layer Convolutional Neural Networks
Yuan Cao · Quanquan Gu
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Poster
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Thu 10:45
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Initialization of ReLUs for Dynamical Isometry
Rebekka Burkholz · Alina Dubatovka
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Poster
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Thu 10:45
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AutoAssist: A Framework to Accelerate Training of Deep Neural Networks
Jiong Zhang · Hsiang-Fu Yu · Inderjit Dhillon
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Poster
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Thu 10:45
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Invert to Learn to Invert
Patrick Putzky · Max Welling
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Poster
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Wed 17:00
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Fast and Accurate Stochastic Gradient Estimation
Beidi Chen · Yingchen Xu · Anshumali Shrivastava
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Poster
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Tue 10:45
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Channel Gating Neural Networks
Weizhe Hua · Yuan Zhou · Christopher De Sa · Zhiru Zhang · G. Edward Suh
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