136 citations · 136 across the 2 of their papers we have counts for
3 papers · 1 filter
Uncertain Trees: Dealing with Uncertain Inputs in Regression Trees
Myriam Tami, Marianne Clausel, Emilie Devijver +4
Tree-based ensemble methods, as Random Forests and Gradient Boosted Trees, have been successfully used for regression in many applications and research studies. Furthermore, these…
Char2char Generation with Reranking for the E2E NLG Challenge
Shubham Agarwal, Marc Dymetman, Eric Gaussier
This paper describes our submission to the E2E NLG Challenge. Recently, neural seq2seq approaches have become mainstream in NLG, often resorting to pre- (respectively post-) proces…
Deep -Means: Jointly clustering with -Means and learning representations
Maziar Moradi Fard, Thibaut Thonet, Eric Gaussier
We study in this paper the problem of jointly clustering and learning representations. As several previous studies have shown, learning representations that are both faithful to th…