Giorgio Patrini
7 papers · 2014–2021 · 5 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (15) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver
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Conference Pioneer
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(5)
Learning Types
(5)
Core Methods
(3)
Optimization & Theory
(3)
Artificial Intelligence
(2)
Deep Learning
(2)
Application Areas
(2)
Architectures
(2)
Mathematics & Optimization
(1)
Security & Privacy
(1)
Core AI
(1)
Differential Privacy
(1)
Learning Paradigms
(1)
Models
(1)
Optimization
(1)
Keywords
label noise
(2)
weakly supervised learning
(2)
differential privacy
(1)
manifold regularization
(1)
optimal transport
(1)
supervised learning
(1)
privacy preserving
(1)
rademacher complexity
(1)
exponential loss
(1)
logistic loss
(1)
empirical risk
(1)
sinkhorn algorithm
(1)
generative model
(1)
generalization bound
(1)
deep neural network
(1)
latent space
(1)
model reconstruction
(1)
robust training
(1)
record linkage
(1)
noise estimation
(1)
Papers
The Impact of Record Linkage on Learning from Feature Partitioned Data
ICML 2021
Sinkhorn AutoEncoders
UAI 2019
Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach
CVPR 2017
Fast Learning from Distributed Datasets without Entity Matching
IJCAI 2016
Loss factorization, weakly supervised learning and label noise robustness
ICML 2016
Rademacher Observations, Private Data, and Boosting
ICML 2015
(Almost) No Label No Cry
NeurIPS 2014