Thomas Peel

12 papers A* 1Journal 5Unranked 5
YearRankTypeTitle / Venue / Authors
2021 J jnl
A Framework Using Contrastive Learning for Classification with Noisy Labels.
Data
Madalina Ciortan, Romain Dupuis, Thomas Peel
2021 J jnl
A Framework using Contrastive Learning for Classification with Noisy Labels.
CoRR
Madalina Ciortan, Romain Dupuis, Thomas Peel
2021 — conf
DAEMA: Denoising Autoencoder with Mask Attention.
ICANN (1)
Simon Tihon, Muhammad Usama Javaid, Damien Fourure, Nicolas Posocco, Thomas Peel
2021 J jnl
DAEMA: Denoising Autoencoder with Mask Attention.
CoRR
Simon Tihon, Muhammad Usama Javaid, Damien Fourure, Nicolas Posocco, Thomas Peel
2019 — conf
STRASS: A Light and Effective Method for Extractive Summarization Based on Sentence Embeddings.
ACL (2)
Léo Bouscarrat, Antoine Bonnefoy, Thomas Peel, Cécile Pereira
2019 J jnl
STRASS: A Light and Effective Method for Extractive Summarization Based on Sentence Embeddings.
CoRR
Léo Bouscarrat, Antoine Bonnefoy, Thomas Peel, Cécile Pereira
2015 — conf
Distributed frank-wolfe under pipelined stale synchronous parallelism.
IEEE BigData
Nam-Luc Tran, Thomas Peel, Sabri Skhiri
2013 — —
Algorithmes de Poursuite Stochastiques et Inégalités de Concentration Empiriques pour l'Apprentissage Statistique. (Stochastic Pursuit Algorithms and Empirical Concentration Inequalities for Machine Learning).
Thomas Peel
2012 — conf
Matching pursuit with stochastic selection.
EUSIPCO
Thomas Peel, Valentin Emiya, Liva Ralaivola, Sandrine Anthoine
2012 J jnl
Stochastic Low-Rank Kernel Learning for Regression
CoRR
Pierre Machart, Thomas Peel, Liva Ralaivola, Sandrine Anthoine, Hervé Glotin
2011 A* conf
Stochastic Low-Rank Kernel Learning for Regression.
ICML
Pierre Machart, Thomas Peel, Sandrine Anthoine, Liva Ralaivola, Hervé Glotin
2010 — conf
Empirical Bernstein Inequalities for U-Statistics.
NIPS
Thomas Peel, Sandrine Anthoine, Liva Ralaivola