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Poster
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Wed 14:30
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Analysis of Quantized Models
LU HOU · Ruiliang Zhang · James Kwok
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Poster
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Wed 14:30
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Theoretical Analysis of Auto Rate-Tuning by Batch Normalization
Sanjeev Arora · Zhiyuan Li · Kaifeng Lyu
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Poster
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Wed 9:00
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On Random Deep Weight-Tied Autoencoders: Exact Asymptotic Analysis, Phase Transitions, and Implications to Training
Ping Li · Phan-Minh Nguyen
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Poster
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Tue 9:00
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Deep Learning 3D Shapes Using Alt-az Anisotropic 2-Sphere Convolution
Min Liu · Fupin Yao · Chiho Choi · Ayan Sinha · Karthik Ramani
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Oral
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Mon 13:15
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On Random Deep Weight-Tied Autoencoders: Exact Asymptotic Analysis, Phase Transitions, and Implications to Training
Ping Li · Phan-Minh Nguyen
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Poster
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Wed 14:30
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Adaptivity of deep ReLU network for learning in Besov and mixed smooth Besov spaces: optimal rate and curse of dimensionality
Taiji Suzuki
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Poster
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Wed 14:30
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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
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GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Wang · Amanpreet Singh · Julian Michael · Felix Hill · Omer Levy · Sam Bowman
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Poster
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Tue 14:30
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DISTRIBUTIONAL CONCAVITY REGULARIZATION FOR GANS
Shoichiro Yamaguchi · Masanori Koyama
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Poster
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Wed 14:30
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A Convergence Analysis of Gradient Descent for Deep Linear Neural Networks
Sanjeev Arora · Nadav Cohen · Noah Golowich · Wei Hu
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Poster
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Wed 14:30
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On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization
Xiangyi Chen · Sijia Liu · Ruoyu Sun · Mingyi Hong
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Poster
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Tue 9:00
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LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos
Elke Kirschbaum · Manuel Haussmann · Steffen Wolf · Hannah Sonntag · Justus Schneider · Shehabeldin Elzoheiry · Oliver Kann · Daniel Durstewitz · Fred A Hamprecht
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