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Poster
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Mon 17:00
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Representation Learning for Sequence Data with Deep Autoencoding Predictive Components
Junwen Bai · Weiran Wang · Yingbo Zhou · Caiming Xiong
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Poster
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Mon 9:00
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On the Universality of Rotation Equivariant Point Cloud Networks
Nadav Dym · Haggai Maron
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Poster
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Thu 17:00
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Adapting to Reward Progressivity via Spectral Reinforcement Learning
Michael Dann · John Thangarajah
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Poster
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Thu 9:00
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Deconstructing the Regularization of BatchNorm
Yann Dauphin · Ekin Cubuk
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Poster
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Thu 17:00
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Neural Thompson Sampling
Weitong ZHANG · Dongruo Zhou · Lihong Li · Quanquan Gu
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Workshop
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Fri 5:15
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Geometric Deep Learning
Fernando Gama
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Workshop
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Fri 11:00
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Keynote 6: Liangwei Ge. Title: Deep learning challenges and how Intel is addressing them
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Workshop
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Fri 11:52
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DeepSMOTE: Deep Learning for Imbalanced Data
Bartosz Krawczyk
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Poster
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Wed 17:00
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Simple Augmentation Goes a Long Way: ADRL for DNN Quantization
Lin Ning · Guoyang Chen · Weifeng Zhang · Xipeng Shen
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Oral
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Thu 19:00
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Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data
Colin Wei · Kendrick Shen · Yining Chen · Tengyu Ma
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Poster
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Wed 9:00
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Growing Efficient Deep Networks by Structured Continuous Sparsification
Xin Yuan · Pedro Savarese · Michael Maire
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Workshop
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Fri 14:25
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Invited Speaker Lu Jiang - Robust Deep Learning and Applications
Lu Jiang
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