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Poster
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Tue 9:00
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Being Bayesian about Categorical Probability
Taejong Joo · Uijung Chung · Min-Gwan Seo
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Poster
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Wed 5:00
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Implicit Generative Modeling for Efficient Exploration
Neale Ratzlaff · Qinxun Bai · Fuxin Li · Wei Xu
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Poster
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Thu 6:00
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Deep Graph Random Process for Relational-Thinking-Based Speech Recognition
Huang Hengguan · Fuzhao Xue · Hao Wang · Ye Wang
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Poster
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Tue 7:00
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A Free-Energy Principle for Representation Learning
Yansong Gao · Pratik Chaudhari
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Poster
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Wed 12:00
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Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables
Qi Wang · Herke van Hoof
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Poster
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Thu 12:00
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Inter-domain Deep Gaussian Processes
Tim G. J. Rudner · Dino Sejdinovic · Yarin Gal
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Poster
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Wed 13:00
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Up or Down? Adaptive Rounding for Post-Training Quantization
Markus Nagel · Rana Ali Amjad · Marinus van Baalen · Christos Louizos · Tijmen Blankevoort
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Workshop
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Deep Reinforcement Learning amidst Lifelong Non-Stationarity
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Workshop
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Sat 9:00
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Contributed Talk: Deep Reinforcement Learning amidst Lifelong Non-Stationarity
Annie Xie
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Workshop
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Fri 12:05
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Spotlight Talk: Deep Reinforcement Learning amidst Lifelong Non-Stationarity
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Workshop
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Fri 13:45
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[Session 1] P#11 Modeling Brain Microarchitecture with Deep Representation Learning
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Poster
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Wed 10:00
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Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks
Agustinus Kristiadi · Matthias Hein · Philipp Hennig
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