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Poster
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Thu 10:45
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Abstraction based Output Range Analysis for Neural Networks
Pavithra Prabhakar · Zahra Rahimi Afzal
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Poster
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Tue 17:30
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Using Embeddings to Correct for Unobserved Confounding in Networks
Victor Veitch · Yixin Wang · David Blei
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Poster
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Tue 10:45
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ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies
Bao Wang · Zuoqiang Shi · Stanley Osher
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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 10:45
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Quality Aware Generative Adversarial Networks
Kancharla Parimala · Sumohana Channappayya
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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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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 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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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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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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