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Break
Mon May 06 07:00 AM -- 06:30 PM (PDT)
Registration Desk Open
Invited Talk
Mon May 06 07:00 AM -- 07:45 AM (PDT) @ Great Hall AD
Highlights of Recent Developments in Algorithmic Fairness
Oral
Mon May 06 07:45 AM -- 08:00 AM (PDT) @ Great Hall AD
Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling
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Indexed Video]
Workshop
Mon May 06 07:45 AM -- 04:30 PM (PDT) @ Room R01
The 2nd Learning from Limited Labeled Data (LLD) Workshop: Representation Learning for Weak Supervision and Beyond
Workshop
Mon May 06 07:45 AM -- 11:00 AM (PDT) @ Room R02
Deep Reinforcement Learning Meets Structured Prediction
Workshop
Mon May 06 07:45 AM -- 04:30 PM (PDT) @ Room R03
Debugging Machine Learning Models
Workshop
Mon May 06 07:45 AM -- 04:30 PM (PDT) @ Room R04
Structure & Priors in Reinforcement Learning (SPiRL)
Workshop
Mon May 06 07:45 AM -- 04:30 PM (PDT) @ Room R05
AI for Social Good
Workshop
Mon May 06 07:45 AM -- 04:30 PM (PDT) @ Room R06
Safe Machine Learning: Specification, Robustness, and Assurance
Workshop
Mon May 06 07:45 AM -- 04:30 PM (PDT) @ Room R07
Representation Learning on Graphs and Manifolds
Workshop
Mon May 06 07:45 AM -- 04:30 PM (PDT) @ Room R09
Task-Agnostic Reinforcement Learning (TARL)
Workshop
Mon May 06 07:45 AM -- 04:30 PM (PDT) @ Room R08
Reproducibility in Machine Learning
Oral
Mon May 06 08:00 AM -- 08:15 AM (PDT) @ Great Hall AD
BA-Net: Dense Bundle Adjustment Networks
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PDF]
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Indexed Video]
Oral
Mon May 06 08:15 AM -- 08:30 AM (PDT) @ Great Hall AD
Large Scale GAN Training for High Fidelity Natural Image Synthesis
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Indexed Video]
Break
Mon May 06 08:45 AM -- 09:00 AM (PDT) @ Great Hall AD
Opening Remarks
Break
Mon May 06 10:30 AM -- 11:00 AM (PDT) @ Hall B-1
Coffee Break
Invited Talk
Mon May 06 12:30 PM -- 01:15 PM (PDT) @ Great Hall AD
Learning Representations Using Causal Invariance
Break
Mon May 06 01:00 PM -- 02:30 PM (PDT) @ on your own
Lunch - on your own
Oral
Mon May 06 01:15 PM -- 01:30 PM (PDT) @ Great Hall AD
On Random Deep Weight-Tied Autoencoders: Exact Asymptotic Analysis, Phase Transitions, and Implications to Training
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Indexed Video]
Workshop
Mon May 06 01:15 PM -- 04:30 PM (PDT) @ Room R02
Deep Generative Models for Highly Structured Data
Oral
Mon May 06 01:30 PM -- 01:45 PM (PDT) @ Great Hall AD
How Powerful are Graph Neural Networks?
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PDF]
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Indexed Video]
Oral
Mon May 06 01:45 PM -- 02:00 PM (PDT) @ Great Hall AD
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
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PDF]
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Indexed Video]
Break
Mon May 06 04:00 PM -- 04:30 PM (PDT) @ Hall B-1
Coffee Break
Break
Mon May 06 06:30 PM -- 07:30 PM (PDT) @ Great Hall Pre-Function, Hall B-1
Opening Reception
Break
Mon May 06 07:00 PM -- 07:30 PM (PDT) @ Rivergate Room
Newcomers Reception