Tuesday October First, we are happy to have a talk by Antoine Gonon (ENS-Lyon) on Symmetries in Neural Networks.
Where: @PariSanteCampus room 0.3, ground floor.
Classification and Regression Trees (CART) define structured recursive classification and regression functions. O(n*log(n)) time global optimization (despite the exponential number of models) is achieved by dynamic programming. https://t.co/uAqRUe2HVm
Comming soon on Arxiv 🪩
our Paper accepted at EMNLP 🌴🌴
On "Chain and Causal Attention for Efficient Entity Tracking", aka Chacal !
Congratz to Erwan Fagnou and all his co-authors 🍾🍾
Wow our NeurIPS2021 paper for the track 'datasets & benchmarks' was accepted🍾. We propose a multi-task benchmark to evaluate large speech foundation models based on self-supervised learning. Our benchmark is targeting French language for the moment - see https://t.co/VssezSXPUv
⚠I am recruiting for a PhD position in ML for NLP⚠
Apply by Nov 19 here: https://t.co/en8idArRa9
Extra context on my website: https://t.co/eeTF9UYk01. DM or email if you have any questions.
Aujourd'hui, 198ème anniversaire de Gustave Flaubert. En hommage, nous publions FlauBERT, un modèle de langue pré-entraîné pour le français grâce à @Genci_fr (Travail commun @UGrenobleAlpes, @cnrs, @LIGLab -- @ParisDiderot -- @ESPCI_Paris@cnrs@psl_univ)
https://t.co/vaETrOQNNQ
Here is FlauBERT: a French LM learnt (with #CNRS J-Zay supercomputer) on a large and heterogeneous corpus. Along with it comes FLUE (evaluation setup for French NLP). FlauBERT was successfully applied to complex tasks (NLI, WSD, Parsing). More on https://t.co/8e6F6UEdM9