Poster
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Tue 16:30
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AC-GC: Lossy Activation Compression with Guaranteed Convergence
R David Evans · Tor Aamodt
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Poster
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Thu 8:30
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Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling
Chen Tang · Wei Zhan · Masayoshi Tomizuka
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Poster
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Thu 0:30
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Robustifying Algorithms of Learning Latent Trees with Vector Variables
Fengzhuo Zhang · Vincent Tan
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Poster
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Thu 16:30
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Topographic VAEs learn Equivariant Capsules
T. Anderson Keller · Max Welling
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Oral
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Tue 0:40
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Causal Identification with Matrix Equations
Sanghack Lee · Elias Bareinboim
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Poster
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Wed 16:30
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Ultrahyperbolic Neural Networks
Marc Law
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Poster
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Tue 8:30
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Piper: Multidimensional Planner for DNN Parallelization
Jakub Tarnawski · Deepak Narayanan · Amar Phanishayee
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Poster
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Wed 0:30
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Coarse-to-fine Animal Pose and Shape Estimation
Chen Li · Gim Hee Lee
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Poster
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Tue 16:30
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Automatic and Harmless Regularization with Constrained and Lexicographic Optimization: A Dynamic Barrier Approach
Chengyue Gong · Xingchao Liu · Qiang Liu
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Poster
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Tue 8:30
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Finding Bipartite Components in Hypergraphs
Peter Macgregor · He Sun
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Poster
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Tue 8:30
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Tractable Regularization of Probabilistic Circuits
Anji Liu · Guy Van den Broeck
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Oral
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Tue 1:40
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The Complexity of Bayesian Network Learning: Revisiting the Superstructure
Robert Ganian · Viktoriia Korchemna
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