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Poster
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Tue 10:45
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Data-dependent Sample Complexity of Deep Neural Networks via Lipschitz Augmentation
Colin Wei · Tengyu Ma
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Poster
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Thu 17:00
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Cormorant: Covariant Molecular Neural Networks
Brandon Anderson · Truong Son Hy · Risi Kondor
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Poster
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Wed 10:45
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Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
Vincent Sitzmann · Michael Zollhoefer · Gordon Wetzstein
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Poster
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Thu 17:00
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How to Initialize your Network? Robust Initialization for WeightNorm & ResNets
Devansh Arpit · Víctor Campos · Yoshua Bengio
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Poster
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Wed 17:00
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Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes
Greg Yang
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Poster
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Tue 10:45
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Certified Adversarial Robustness with Additive Noise
Bai Li · Changyou Chen · Wenlin Wang · Lawrence Carin
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Poster
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Wed 10:45
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Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum
Shreyas Saxena · Oncel Tuzel · Dennis DeCoste
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Workshop
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Sat 8:15
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Surya Ganguli - An analytic theory of generalization dynamics and transfer learning in deep linear networks
Surya Ganguli
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Poster
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Tue 10:45
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Hyperspherical Prototype Networks
Pascal Mettes · Elise van der Pol · Cees Snoek
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Poster
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Thu 10:45
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Fully Neural Network based Model for General Temporal Point Processes
Takahiro Omi · naonori ueda · Kazuyuki Aihara
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Poster
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Thu 17:00
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Are deep ResNets provably better than linear predictors?
Chulhee Yun · Suvrit Sra · Ali Jadbabaie
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Poster
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Thu 10:45
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MarginGAN: Adversarial Training in Semi-Supervised Learning
Jinhao Dong · Tong Lin
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