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Tutorial
Mon Dec 07 12:00 AM -- 02:30 AM (PST) @ Virtual
(Track2) Deeper Conversational AI
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Slides]
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Video Part 5]
Tutorial
Mon Dec 07 12:00 AM -- 02:30 AM (PST)
(Track1) Sketching and Streaming Algorithms
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Video Part 1]
Tutorial
Mon Dec 07 02:30 AM -- 05:00 AM (PST)
(Track1) There and Back Again: A Tale of Slopes and Expectations
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Video Part 1]
Tutorial
Mon Dec 07 02:30 AM -- 05:00 AM (PST)
(Track3) Designing Learning Dynamics
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Video Part 4]
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Video Part 6]
Tutorial
Mon Dec 07 05:30 AM -- 08:00 AM (PST)
(Track2) Beyond Accuracy: Grounding Evaluation Metrics for Human-Machine Learning Systems
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Video Part 1]
Tutorial
Mon Dec 07 05:30 AM -- 08:00 AM (PST)
(Track1) Where Neuroscience meets AI (And What’s in Store for the Future)
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Video Part 1]
Tutorial
Mon Dec 07 08:00 AM -- 10:30 AM (PST)
(Track3) Offline Reinforcement Learning: From Algorithm Design to Practical Applications
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Video Part 2]
Tutorial
Mon Dec 07 08:00 AM -- 10:30 AM (PST) @ Virtual
(Track2) Practical Uncertainty Estimation and Out-of-Distribution Robustness in Deep Learning
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Slides]
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Video Part 1]
Tutorial
Mon Dec 07 08:00 AM -- 10:30 AM (PST) @ Virtual
(Track1) Advances in Approximate Inference
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Slides]
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Video Part 4]
Tutorial
Mon Dec 07 11:00 AM -- 01:30 PM (PST)
(Track3) Policy Optimization in Reinforcement Learning
Tutorial
Mon Dec 07 11:00 AM -- 01:30 PM (PST)
(Track1) Abstraction & Reasoning in AI systems: Modern Perspectives
Tutorial
Mon Dec 07 11:00 AM -- 01:30 PM (PST)
(Track2) Machine Learning for Astrophysics and Astrophysics Problems for Machine Learning
Tutorial
Mon Dec 07 01:30 PM -- 04:00 PM (PST)
(Track2) Explaining Machine Learning Predictions: State-of-the-art, Challenges, and Opportunities
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Video Part 1]
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Video Part 3]
Tutorial
Mon Dec 07 01:30 PM -- 04:00 PM (PST)
(Track3) Deep Implicit Layers: Neural ODEs, Equilibrium Models, and Differentiable Optimization
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Video Part 5]
Tutorial
Mon Dec 07 01:30 PM -- 04:00 PM (PST)
(Track1) Federated Learning and Analytics: Industry Meets Academia
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Video Part 4]
Tutorial
Tue Dec 08 02:00 AM -- 02:50 AM (PST)
(Track2) Equivariant Networks Q&A
Tutorial
Tue Dec 08 03:00 AM -- 03:50 AM (PST)
(Track1) There and Back Again: A Tale of Slopes and Expectations Q&A
Tutorial
Tue Dec 08 12:00 PM -- 12:50 PM (PST)
(Track3) Offline Reinforcement Learning: From Algorithm Design to Practical Applications Q&A
Tutorial
Tue Dec 08 01:00 PM -- 01:50 PM (PST)
(Track1) Sketching and Streaming Algorithms Q&A
Tutorial
Tue Dec 08 02:00 PM -- 02:50 PM (PST)
(Track2) Beyond Accuracy: Grounding Evaluation Metrics for Human-Machine Learning Systems Q&A
Tutorial
Wed Dec 09 01:00 AM -- 01:50 AM (PST)
(Track1) Advances in Approximate Inference Q&A
Tutorial
Wed Dec 09 03:00 AM -- 03:50 AM (PST)
(Track2) Explaining Machine Learning Predictions: State-of-the-art, Challenges, and Opportunities Q&A
Tutorial
Wed Dec 09 12:00 PM -- 12:50 PM (PST)
(Track2) Practical Uncertainty Estimation and Out-of-Distribution Robustness in Deep Learning Q&A
Tutorial
Wed Dec 09 02:00 PM -- 02:50 PM (PST)
(Track1) Abstraction & Reasoning in AI systems: Modern Perspectives Q&A
Tutorial
Thu Dec 10 12:00 AM -- 12:50 AM (PST)
(Track2) Deep Conversational AI Q&A
Tutorial
Thu Dec 10 02:00 AM -- 02:50 AM (PST)
(Track3) Designing Learning Dynamics Q&A
Tutorial
Thu Dec 10 03:00 AM -- 03:50 AM (PST)
(Track3) Deep Implicit Layers: Neural ODEs, Equilibrium Models, and Differentiable Optimization Q&A
Tutorial
Thu Dec 10 12:00 PM -- 12:50 PM (PST)
(Track1) Federated Learning and Analytics: Industry Meets Academia Q&A
Tutorial
Thu Dec 10 01:00 PM -- 01:50 PM (PST)
(Track3) Policy Optimization in Reinforcement Learning Q&A