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Workshop
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Mon 15:00
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Learning and development of structured, causal priors
Jane Wang
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Workshop
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Mon 10:30
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Problem Introduction - Planning in Home Health Care Structures using Reinforcement Learning
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Poster
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Thu 14:30
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Learning Procedural Abstractions and Evaluating Discrete Latent Temporal Structure
Karan Goel · Emma Brunskill
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Oral
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Tue 7:45
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Learning Protein Structure with a Differentiable Simulator
John Ingraham · Adam J Riesselman · Chris Sander · Debora Marks
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Poster
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Wed 14:30
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Learning to Make Analogies by Contrasting Abstract Relational Structure
Felix Hill · Adam Santoro · David Barrett · Ari Morcos · Timothy Lillicrap
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Poster
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Thu 14:30
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Learning Programmatically Structured Representations with Perceptor Gradients
Svetlin Penkov · Subramanian Ramamoorthy
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Poster
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Thu 14:30
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Variational Autoencoders with Jointly Optimized Latent Dependency Structure
Jiawei He · Yu Gong · Joe Marino · Greg Mori · Andreas Lehrmann
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Poster
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Thu 9:00
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Learning protein sequence embeddings using information from structure
Tristan Bepler · Bonnie Berger
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Poster
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Thu 9:00
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DOM-Q-NET: Grounded RL on Structured Language
Sheng Jia · Jamie Kiros · Jimmy Ba
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Poster
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Tue 9:00
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Learning to Describe Scenes with Programs
Yunchao Liu · Zheng Wu · Daniel Ritchie · William Freeman · Joshua B Tenenbaum · Jiajun Wu
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Poster
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Thu 9:00
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Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder
Caio Corro · Ivan Titov
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Poster
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Tue 9:00
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Learning Protein Structure with a Differentiable Simulator
John Ingraham · Adam J Riesselman · Chris Sander · Debora Marks
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