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Spotlight
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Wed 20:20
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Understanding the role of importance weighting for deep learning
Da Xu · Yuting Ye · Chuanwei Ruan
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Poster
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Thu 9:00
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Implicit Gradient Regularization
David Barrett · Benoit Dherin
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Poster
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Mon 17:00
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Variational Intrinsic Control Revisited
Taehwan Kwon
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Workshop
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Fri 14:02
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Invited Talk: A deep learning theory for neural networks grounded in physics
Benjamin Scellier
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Poster
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Wed 1:00
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DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation
Alexandre Rame · MATTHIEU CORD
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Spotlight
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Mon 12:15
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On the Theory of Implicit Deep Learning: Global Convergence with Implicit Layers
Kenji Kawaguchi
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Poster
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Tue 9:00
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On the Theory of Implicit Deep Learning: Global Convergence with Implicit Layers
Kenji Kawaguchi
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Spotlight
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Mon 12:45
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On Statistical Bias In Active Learning: How and When to Fix It
Sebastian Farquhar · Yarin Gal · Tom Rainforth
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Poster
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Mon 17:00
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Partitioned Learned Bloom Filters
Kapil Vaidya · Eric Knorr · Michael Mitzenmacher · Tim Kraska
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Poster
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Mon 9:00
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On Statistical Bias In Active Learning: How and When to Fix It
Sebastian Farquhar · Yarin Gal · Tom Rainforth
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Poster
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Thu 9:00
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A Critique of Self-Expressive Deep Subspace Clustering
Benjamin Haeffele · Chong You · Rene Vidal
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Poster
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Thu 9:00
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Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds
Bogdan Georgiev · Lukas Franken · Mayukh Mukherjee
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