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Workshop
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Fri 5:00
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Invited Talk: Bei Wang: Topology and Neuron Activations in Deep Learning
Bei Wang
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Workshop
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Fri 13:35
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Representation Learning for Sequence Data with Deep Autoencoding Predictive
Junwen Bai
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Poster
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Tue 21:00
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Lipschitz-Certifiable Training with a Tight Outer Bound
Sungyoon Lee · Jaewook Lee · Saerom Park
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Affinity Workshop
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Wed 11:40
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Accelerating 3D deep learning with PyTorch3D
Nikhila Ravi
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Workshop
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DeepWaste: Applying Deep Learning to Waste Classification for a Sustainable Planet
Yash Narayan
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Poster
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Wed 9:00
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On the universality of deep learning
Emmanuel Abbe · Colin Sandon
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Poster
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Thu 9:00
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Characterizing emergent representations in a space of candidate learning rules for deep networks
Yinan Cao · Christopher Summerfield · Andrew Saxe
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Workshop
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Monitoring the Impact of Wildfires on Tree Species with Deep Learning
WANG ZHOU
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Workshop
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Sat 7:25
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Deep learning to assist radiologists in breast cancer diagnosis with ultrasound imaging
Yiqiu Shen
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Workshop
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Poster: DREAM: Deep Regret minimization with Advantage baselines and Model-free learning
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Workshop
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Predicting the Need for Intensive Care for COVID-19 Patients using Deep Learning on Chest Radiography
Qiyuan Hu
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Workshop
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Fri 9:00
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Oral 01: phiflow - A differentiable PDE solving framework for deep learning via physical simulations
Nils Thuerey
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