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Consistent Multitask Learning with Nonlinear Output Relations

Consistent Multitask Learning with Nonlinear Output Relations

23 May 2017
C. Ciliberto
Alessandro Rudi
Lorenzo Rosasco
Massimiliano Pontil
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Papers citing "Consistent Multitask Learning with Nonlinear Output Relations"

9 / 9 papers shown
Title
Key Design Choices for Double-Transfer in Source-Free Unsupervised
  Domain Adaptation
Key Design Choices for Double-Transfer in Source-Free Unsupervised Domain Adaptation
Andrea Maracani
Raffaello Camoriano
Elisa Maiettini
Davide Talon
Lorenzo Rosasco
Lorenzo Natale
41
2
0
10 Feb 2023
Cross-Task Consistency Learning Framework for Multi-Task Learning
Cross-Task Consistency Learning Framework for Multi-Task Learning
Akihiro Nakano
Shi Chen
K. Demachi
CVBM
25
3
0
28 Nov 2021
Fine-grained Generalization Analysis of Vector-valued Learning
Fine-grained Generalization Analysis of Vector-valued Learning
Liang Wu
Antoine Ledent
Yunwen Lei
Marius Kloft
27
9
0
29 Apr 2021
Structured Prediction for CRiSP Inverse Kinematics Learning with
  Misspecified Robot Models
Structured Prediction for CRiSP Inverse Kinematics Learning with Misspecified Robot Models
Gian Maria Marconi
Rafaello Camoriano
Lorenzo Rosasco
C. Ciliberto
24
4
0
25 Feb 2021
Towards Robust Pattern Recognition: A Review
Towards Robust Pattern Recognition: A Review
Xu-Yao Zhang
Cheng-Lin Liu
C. Suen
OOD
HAI
26
103
0
12 Jun 2020
Learning Functions to Study the Benefit of Multitask Learning
Learning Functions to Study the Benefit of Multitask Learning
Gabriele Bettgenhauser
Michael A. Hedderich
Dietrich Klakow
18
4
0
09 Jun 2020
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete
  Demonstrations of Algorithmic Effectiveness in the Machine Learning and
  Artificial Intelligence Literature
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literature
Franz J. Király
Bilal A. Mateen
R. Sonabend
23
10
0
18 Dec 2018
Manifold Structured Prediction
Manifold Structured Prediction
Alessandro Rudi
C. Ciliberto
Gian Maria Marconi
Lorenzo Rosasco
37
18
0
26 Jun 2018
Differential Properties of Sinkhorn Approximation for Learning with
  Wasserstein Distance
Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance
Giulia Luise
Alessandro Rudi
Massimiliano Pontil
C. Ciliberto
OT
24
130
0
30 May 2018
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