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Learning Aggregation Functions


Dec 15, 2020
Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, Manfred Jaeger


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Classification of cancer pathology reports: a large-scale comparative study


Jun 29, 2020
Stefano Martina, Leonardo Ventura, Paolo Frasconi

* 10 pages, 6 figures, 3 tables, accepted for publication in IEEE Journal of Biomedical and Health Informatics (J-BHI) 

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Scheduling the Learning Rate via Hypergradients: New Insights and a New Algorithm


Oct 18, 2019
Michele Donini, Luca Franceschi, Massimiliano Pontil, Orchid Majumder, Paolo Frasconi

* Code available at https://github.com/awslabs/adatune 

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Learning and Interpreting Multi-Multi-Instance Learning Networks


Oct 26, 2018
Alessandro Tibo, Manfred Jaeger, Paolo Frasconi


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Bilevel Programming for Hyperparameter Optimization and Meta-Learning


Jul 03, 2018
Luca Franceschi, Paolo Frasconi, Saverio Salzo, Riccardo Grazzi, Massimilano Pontil

* ICML 2018; code for replicating experiments at https://github.com/prolearner/hyper-representation, main package (Far-HO) at https://github.com/lucfra/FAR-HO 

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Far-HO: A Bilevel Programming Package for Hyperparameter Optimization and Meta-Learning


Jun 13, 2018
Luca Franceschi, Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo, Paolo Frasconi

* This submission is a reduced version of (Franceschi et al., arXiv:1806.04910) which has been accepted at the main ICML 2018 conference. In this paper we illustrate the software framework, material that could not be included in the conference paper 

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Off the Beaten Track: Using Deep Learning to Interpolate Between Music Genres


May 02, 2018
Tijn Borghuis, Alessandro Tibo, Simone Conforti, Luca Canciello, Lorenzo Brusci, Paolo Frasconi


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A Bridge Between Hyperparameter Optimization and Larning-to-learn


Feb 04, 2018
Luca Franceschi, Michele Donini, Paolo Frasconi, Massimiliano Pontil

* NIPS 2017 workshop on Meta-learning (http://metalearning.ml/

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Forward and Reverse Gradient-Based Hyperparameter Optimization


Dec 12, 2017
Luca Franceschi, Michele Donini, Paolo Frasconi, Massimiliano Pontil

* Franceschi, L., Donini, M., Frasconi, P. & Pontil, M.. (2017). Forward and Reverse Gradient-Based Hyperparameter Optimization. Proceedings of the 34th International Conference on Machine Learning, in PMLR 70:1165-1173 
* - Posted the ICML Camera Ready version. - Added a link to a newer package implementation of the algorithms 

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Shift Aggregate Extract Networks


Mar 16, 2017
Francesco Orsini, Daniele Baracchi, Paolo Frasconi


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