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