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12/15/2020
Learning Aggregation Functions
Learning on sets is increasingly gaining attention in the machine learni...
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06/29/2020
Classification of cancer pathology reports: a large-scale comparative study
We report about the application of state-of-the-art deep learning techni...
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10/18/2019
Scheduling the Learning Rate via Hypergradients: New Insights and a New Algorithm
We study the problem of fitting task-specific learning rate schedules fr...
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10/26/2018
Learning and Interpreting Multi-Multi-Instance Learning Networks
We introduce an extension of the multi-instance learning problem where e...
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06/13/2018
Far-HO: A Bilevel Programming Package for Hyperparameter Optimization and Meta-Learning
In (Franceschi et al., 2018) we proposed a unified mathematical framewor...
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06/13/2018
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
We introduce a framework based on bilevel programming that unifies gradi...
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04/25/2018
Off the Beaten Track: Using Deep Learning to Interpolate Between Music Genres
We describe a system based on deep learning that generates drum patterns...
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12/18/2017
A Bridge Between Hyperparameter Optimization and Larning-to-learn
We consider a class of a nested optimization problems involving inner an...
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03/16/2017
Shift Aggregate Extract Networks
We introduce an architecture based on deep hierarchical decompositions t...
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03/06/2017
Forward and Reverse Gradient-Based Hyperparameter Optimization
We study two procedures (reverse-mode and forward-mode) for computing th...
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05/17/2012