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Oral
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Thu 19:00
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Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data
Colin Wei · Kendrick Shen · Yining Chen · Tengyu Ma
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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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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 12:15
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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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Distance-Based Regularisation of Deep Networks for Fine-Tuning
Henry Gouk · Timothy Hospedales · massimiliano pontil
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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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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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Poster
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Tue 9:00
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Auction Learning as a Two-Player Game
Jad Rahme · Samy Jelassi · S. M Weinberg
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Poster
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Thu 17:00
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No MCMC for me: Amortized sampling for fast and stable training of energy-based models
Will Grathwohl · Jacob Kelly · Milad Hashemi · Mohammad Norouzi · Kevin Swersky · David Duvenaud
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Spotlight
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Thu 3:15
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Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic
Deunsol Yoon · Sunghoon Hong · Byung-Jun Lee · Kee-Eung Kim
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