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Matteo Pagliardini
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2020 – today
- 2024
- [c7]Tatjana Chavdarova, Tong Yang, Matteo Pagliardini, Michael I. Jordan:
A Primal-Dual Approach to Solving Variational Inequalities with General Constraints. ICLR 2024 - [i12]Matteo Pagliardini, Amirkeivan Mohtashami, François Fleuret, Martin Jaggi:
DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging. CoRR abs/2402.02622 (2024) - 2023
- [c6]Matteo Pagliardini, Martin Jaggi, François Fleuret, Sai Praneeth Karimireddy:
Agree to Disagree: Diversity through Disagreement for Better Transferability. ICLR 2023 - [c5]Matteo Pagliardini, Daniele Paliotta, Martin Jaggi, François Fleuret:
Fast Attention Over Long Sequences With Dynamic Sparse Flash Attention. NeurIPS 2023 - [i11]Matteo Pagliardini, Daniele Paliotta, Martin Jaggi, François Fleuret:
Faster Causal Attention Over Large Sequences Through Sparse Flash Attention. CoRR abs/2306.01160 (2023) - [i10]Amirkeivan Mohtashami, Matteo Pagliardini, Martin Jaggi:
CoTFormer: More Tokens With Attention Make Up For Less Depth. CoRR abs/2310.10845 (2023) - [i9]Simin Fan, Matteo Pagliardini, Martin Jaggi:
DoGE: Domain Reweighting with Generalization Estimation. CoRR abs/2310.15393 (2023) - [i8]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 abs/2311.16079 (2023) - 2022
- [i7]Matteo Pagliardini, Martin Jaggi, François Fleuret, Sai Praneeth Karimireddy:
Agree to Disagree: Diversity through Disagreement for Better Transferability. CoRR abs/2202.04414 (2022) - [i6]Matteo Pagliardini, Gilberto Manunza, Martin Jaggi, Michael I. Jordan, Tatjana Chavdarova:
Improving Generalization via Uncertainty Driven Perturbations. CoRR abs/2202.05737 (2022) - [i5]Tatjana Chavdarova, Matteo Pagliardini, Tong Yang, Michael I. Jordan:
Revisiting the ACVI Method for Constrained Variational Inequalities. CoRR abs/2210.15659 (2022) - 2021
- [c4]Tatjana Chavdarova, Matteo Pagliardini, Sebastian U. Stich, François Fleuret, Martin Jaggi:
Taming GANs with Lookahead-Minmax. ICLR 2021 - [i4]Yehao Liu, Matteo Pagliardini, Tatjana Chavdarova, Sebastian U. Stich:
The Peril of Popular Deep Learning Uncertainty Estimation Methods. CoRR abs/2112.05000 (2021) - 2020
- [i3]Tatjana Chavdarova, Matteo Pagliardini, Martin Jaggi, François Fleuret:
Taming GANs with Lookahead. CoRR abs/2006.14567 (2020)
2010 – 2019
- 2019
- [c3]Prakhar Gupta, Matteo Pagliardini, Martin Jaggi:
Better Word Embeddings by Disentangling Contextual n-Gram Information. NAACL-HLT (1) 2019: 933-939 - [i2]Prakhar Gupta, Matteo Pagliardini, Martin Jaggi:
Better Word Embeddings by Disentangling Contextual n-Gram Information. CoRR abs/1904.05033 (2019) - 2018
- [c2]Matteo Pagliardini, Prakhar Gupta, Martin Jaggi:
Unsupervised Learning of Sentence Embeddings Using Compositional n-Gram Features. NAACL-HLT 2018: 528-540 - 2017
- [i1]Matteo Pagliardini, Prakhar Gupta, Martin Jaggi:
Unsupervised Learning of Sentence Embeddings using Compositional n-Gram Features. CoRR abs/1703.02507 (2017) - 2013
- [c1]Matteo Pagliardini, Yasuhiro Akagi, Marcos Slomp, Ryo Furukawa, Ryusuke Sagawa, Hiroshi Kawasaki:
Exemplar-Based Hole-Filling Technique for Multiple Dynamic Objects. PSIVT 2013: 242-253
Coauthor Index
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last updated on 2024-08-08 20:10 CEST by the dblp team
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