Paolo Frasconi
12 papers · 2006–2021 · 6 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Full 🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Silver 🗺️ Taxonomy Completionist (18)
🧭
Keyword Pioneer
📈
Trend Setter
💎
Century Club · Bronze
Top co-authors
Research topics
Keywords
hyperparameter optimization
(3)
few-shot learning
(1)
ligand prediction
(1)
relational learning
(1)
multi-instance learning
(1)
graph classification
(1)
structured prediction
(1)
attention mechanism
(1)
weakly supervised learning
(1)
bioinformatics
(1)
gradient descent
(1)
metal binding sites
(1)
protein sequence analysis
(1)
structured output prediction
(1)
stochastic gradient descent
(1)
protein sequence
(1)
structured output learning
(1)
matroid theory
(1)
structured output
(1)
representation learning
(1)
Papers
Learning Aggregation Functions
IJCAI 2021
Learning and Interpreting Multi-Multi-Instance Learning Networks
JMLR 2020
Marthe: Scheduling the Learning Rate Via Online Hypergradients
IJCAI 2020
Pattern-Based Music Generation with Wasserstein Autoencoders and PRC Descriptions
IJCAI 2020
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
ICML 2018
Forward and Reverse Gradient-Based Hyperparameter Optimization
ICML 2017
Graph Invariant Kernels
IJCAI 2015
kLog: A Language for Logical and Relational Learning with Kernels (Extended Abstract)
IJCAI 2015
kLogNLP: Graph Kernel–based Relational Learning of Natural Language
ACL 2014
A Statistical Relational Learning Approach to Identifying Evidence Based Medicine Categories
EMNLP 2012
Predicting the Geometry of Metal Binding Sites from Protein Sequence
NeurIPS 2008
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting
JMLR 2006