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Poster
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Wed 7:45
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Understanding Weight Normalized Deep Neural Networks with Rectified Linear Units
Yixi Xu · Xiao Wang
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Workshop
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Sat 7:25
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Towards Reproducible and Reusable Deep Learning Systems Research Artifacts
Thierry Moreau
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Poster
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Tue 7:45
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Bayesian Adversarial Learning
Nanyang Ye · Zhanxing Zhu
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Workshop
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Sat 11:40
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ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks
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Poster
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Wed 7:45
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Parsimonious Bayesian deep networks
Mingyuan Zhou
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Workshop
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Sat 6:00
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Making the Case for using more Inductive Bias in Deep Learning
Max Welling
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Workshop
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Fri 13:30
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Rethinking floating point for deep learning
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Poster
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Wed 7:45
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Reinforced Continual Learning
Ju Xu · Zhanxing Zhu
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Workshop
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Sat 7:25
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McTorch, a manifold optimization library for deep learning
Anoop Kunchukuttan
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Workshop
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Sat 7:25
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Open Fabric for Deep Learning Models
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Poster
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Thu 7:45
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Posterior Concentration for Sparse Deep Learning
Veronika Rockova · nicholas polson
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Poster
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Tue 7:45
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Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data
Yuanzhi Li · Yingyu Liang
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