Matteo Pagliardini

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 18

Top Topics

Unsupervised Learning

Top Venues

Publications

Matteo Pagliardini, Amirkeivan Mohtashami, François Fleuret, Martin Jaggi
DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging. CoRR (2024)
Tatjana Chavdarova, Tong Yang, Matteo Pagliardini, Michael I. Jordan
A Primal-Dual Approach to Solving Variational Inequalities with General Constraints. ICLR (2024)
Matteo Pagliardini, Martin Jaggi, François Fleuret, Sai Praneeth Karimireddy
Agree to Disagree: Diversity through Disagreement for Better Transferability. ICLR (2023)
Amirkeivan Mohtashami, Matteo Pagliardini, Martin Jaggi
CoTFormer: More Tokens With Attention Make Up For Less Depth. CoRR (2023)
Matteo Pagliardini, Daniele Paliotta, Martin Jaggi, François Fleuret
Faster Causal Attention Over Large Sequences Through Sparse Flash Attention. CoRR (2023)
Zeming Chen, Alejandro Hernández-Cano, Angelika Romanou, Antoine Bonnet, Kyle Matoba, Francesco Salvi, Matteo Pagliardini, Simin Fan, Andreas Köpf, Amirkeivan Mohtashami, Alexandre Sallinen, Alireza Sakhaeirad, Vinitra Swamy, Igor Krawczuk, Deniz Bayazit, Axel Marmet, Syrielle Montariol, Mary-Anne Hartley, Martin Jaggi, Antoine Bosselut
MEDITRON-70B: Scaling Medical Pretraining for Large Language Models. CoRR (2023)
Simin Fan, Matteo Pagliardini, Martin Jaggi
DoGE: Domain Reweighting with Generalization Estimation. CoRR (2023)
Matteo Pagliardini, Daniele Paliotta, Martin Jaggi, François Fleuret
Fast Attention Over Long Sequences With Dynamic Sparse Flash Attention. NeurIPS (2023)
Matteo Pagliardini, Martin Jaggi, François Fleuret, Sai Praneeth Karimireddy
Agree to Disagree: Diversity through Disagreement for Better Transferability. CoRR (2022)
Matteo Pagliardini, Gilberto Manunza, Martin Jaggi, Michael I. Jordan, Tatjana Chavdarova
Improving Generalization via Uncertainty Driven Perturbations. CoRR (2022)
Tatjana Chavdarova, Matteo Pagliardini, Tong Yang, Michael I. Jordan
Revisiting the ACVI Method for Constrained Variational Inequalities. CoRR (2022)
Yehao Liu, Matteo Pagliardini, Tatjana Chavdarova, Sebastian U. Stich
The Peril of Popular Deep Learning Uncertainty Estimation Methods. CoRR (2021)
Tatjana Chavdarova, Matteo Pagliardini, Sebastian U. Stich, François Fleuret, Martin Jaggi
Taming GANs with Lookahead-Minmax. ICLR (2021)
Tatjana Chavdarova, Matteo Pagliardini, Martin Jaggi, François Fleuret
Taming GANs with Lookahead. CoRR (2020)
Prakhar Gupta, Matteo Pagliardini, Martin Jaggi
Better Word Embeddings by Disentangling Contextual n-Gram Information. NAACL-HLT (1) (2019)
Prakhar Gupta, Matteo Pagliardini, Martin Jaggi
Better Word Embeddings by Disentangling Contextual n-Gram Information. CoRR (2019)
Matteo Pagliardini, Prakhar Gupta, Martin Jaggi
Unsupervised Learning of Sentence Embeddings Using Compositional n-Gram Features. NAACL-HLT (2018)
Matteo Pagliardini, Prakhar Gupta, Martin Jaggi
Unsupervised Learning of Sentence Embeddings using Compositional n-Gram Features. CoRR (2017)
Matteo Pagliardini, Yasuhiro Akagi, Marcos Slomp, Ryo Furukawa, Ryusuke Sagawa, Hiroshi Kawasaki
Exemplar-Based Hole-Filling Technique for Multiple Dynamic Objects. PSIVT (2013)