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Matteo Pagliardini
Title
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Cited by
Year
Unsupervised learning of sentence embeddings using compositional n-gram features
M Pagliardini, P Gupta, M Jaggi
NAACL-HLT, 2018, 2017
7172017
Better word embeddings by disentangling contextual n-gram information
P Gupta, M Pagliardini, M Jaggi
NAACL-HLT, 2019, 2019
342019
Taming gans with lookahead
T Chavdarova, M Pagliardini, SU Stich, M Jaggi, F Fleuret
ICLR 2021, 2020
19*2020
Agree to Disagree: Diversity through Disagreement for Better Transferability
M Pagliardini, M Jaggi, F Fleuret, SP Karimireddy
arXiv preprint arXiv:2202.04414, 2022
72022
The Peril of Popular Deep Learning Uncertainty Estimation Methods
Y Liu, M Pagliardini, T Chavdarova, SU Stich
arXiv preprint arXiv:2112.05000, 2021
22021
Improving Generalization via Uncertainty Driven Perturbations
M Pagliardini, G Manunza, M Jaggi, MI Jordan, T Chavdarova
arXiv preprint arXiv:2202.05737, 2022
12022
Revisiting the ACVI Method for Constrained Variational Inequalities
T Chavdarova, M Pagliardini, T Yang, MI Jordan
arXiv preprint arXiv:2210.15659, 2022
2022
Improved Generalization-Robustness Trade-off via Uncertainty Targeted Attacks
M Pagliardini, G Manunza, M Jaggi, T Chavdarova
2021
Diversity through Disagreement for Better Transferability
M Pagliardini, M Jaggi, F Fleuret, SP Karimireddy
NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and …, 0
MLO
SA Bahreinian, LF Barba Flores, T Chavdarova, EM Chayti, ...
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Articles 1–10