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Poster
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Wed 18:30
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Nonparametric Online Regression while Learning the Metric
Ilja Kuzborskij · Nicolò Cesa-Bianchi
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Poster
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Mon 18:30
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Prototypical Networks for Few-shot Learning
Jake Snell · Kevin Swersky · Richard Zemel
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Poster
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Tue 18:30
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Practical Data-Dependent Metric Compression with Provable Guarantees
Piotr Indyk · Ilya Razenshteyn · Tal Wagner
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Poster
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Mon 18:30
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Principles of Riemannian Geometry in Neural Networks
Michael Hauser · Asok Ray
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Poster
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Mon 18:30
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Few-Shot Learning Through an Information Retrieval Lens
Eleni Triantafillou · Richard Zemel · Raquel Urtasun
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Poster
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Tue 18:30
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Multi-Armed Bandits with Metric Movement Costs
Tomer Koren · Roi Livni · Yishay Mansour
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Poster
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Mon 18:30
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Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes
Anton Mallasto · Aasa Feragen
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Poster
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Mon 18:30
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Revisit Fuzzy Neural Network: Demystifying Batch Normalization and ReLU with Generalized Hamming Network
Lixin Fan
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Poster
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Mon 18:30
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PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Charles Ruizhongtai Qi · Li Yi · Hao Su · Leonidas Guibas
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Poster
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Mon 18:30
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Generative Local Metric Learning for Kernel Regression
Yung-Kyun Noh · Masashi Sugiyama · Kee-Eung Kim · Frank Park · Daniel Lee
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Poster
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Tue 18:30
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Learning Low-Dimensional Metrics
Blake Mason · Lalit Jain · Robert Nowak
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