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Workshop
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Poster: Visual Imitation with Reinforcement Learning using Recurrent Siamese Networks
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Poster
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Wed 9:00
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Practical Quasi-Newton Methods for Training Deep Neural Networks
Donald Goldfarb · Yi Ren · Achraf Bahamou
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Workshop
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Sat 9:00
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Frank Noé - PauliNet: Deep Neural Network Solution of the Electronic Schrödinger Equation
Frank Noe
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Workshop
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Fri 8:30
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Deep Networks and the Multiple Manifold Problem
Samuel Buchanan · Dar Gilboa · John Wright
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Expo Demonstration
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Sun 12:00
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Using Sparse Quantization for Efficient Inference on Deep Neural Networks
Mark J Kurtz · Dan Alistarh · Saša Zelenović
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Workshop
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Fri 7:12
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Contributed Talk 3: A Riemannian gradient flow perspective on learning deep linear neural networks
Ulrich Terstiege · Holger Rauhut · Bubacarr Bah · Michael Westdickenberg
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Poster
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Mon 21:00
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Fourier Spectrum Discrepancies in Deep Network Generated Images
Tarik Dzanic · Karan Shah · Freddie Witherden
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Workshop
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Fri 15:50
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Contributed Talk 5: Paper 19: Deep convolutional tensor network
Philip Blagoveschensky
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Workshop
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Estimating Forest Ground Vegetation Cover From Nadir Photographs Using Deep Convolutional Neural Networks
Martin Barczyk
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Workshop
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Sat 18:30
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Single-Station Earthquake Location Using Deep Neural Networks
S. Mostafa Mousavi
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Poster
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Tue 9:00
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Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect
Kaihua Tang · Jianqiang Huang · Hanwang Zhang
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Spotlight
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Thu 19:50
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Projection Robust Wasserstein Distance and Riemannian Optimization
Tianyi Lin · Chenyou Fan · Nhat Ho · Marco Cuturi · Michael Jordan
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