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Poster
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Wed 1:00
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Explainable Deep One-Class Classification
Philipp Liznerski · Lukas Ruff · Robert A Vandermeulen · Billy J Franks · Marius Kloft · Klaus R Muller
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Poster
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Tue 1:00
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Intraclass clustering: an implicit learning ability that regularizes DNNs
Simon Carbonnelle · Christophe De Vleeschouwer
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Poster
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Tue 17:00
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Understanding the role of importance weighting for deep learning
Da Xu · Yuting Ye · Chuanwei Ruan
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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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Tue 17:00
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Implicit Convex Regularizers of CNN Architectures: Convex Optimization of Two- and Three-Layer Networks in Polynomial Time
Tolga Ergen · Mert Pilanci
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Spotlight
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Tue 12:40
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Implicit Convex Regularizers of CNN Architectures: Convex Optimization of Two- and Three-Layer Networks in Polynomial Time
Tolga Ergen · Mert Pilanci
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Poster
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Wed 1:00
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Gradient Origin Networks
Sam Bond-Taylor · Chris G Willcocks
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Poster
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Thu 9:00
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Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation
Emilio Parisotto · Ruslan Salakhutdinov
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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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Tue 17:00
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Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning
Aviral Kumar · Rishabh Agarwal · Dibya Ghosh · Sergey Levine
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Poster
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Tue 9:00
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Learning Neural Event Functions for Ordinary Differential Equations
Tian Qi Chen · Brandon Amos · Maximilian Nickel
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Poster
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Tue 9:00
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On the Origin of Implicit Regularization in Stochastic Gradient Descent
Samuel Smith · Benoit Dherin · David Barrett · Soham De
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