1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2022
Sibylvariant Transformations for Robust Text Classification
Fabrice Harel-Canada, Muhammad Ali Gulzar, Nanyun Peng +1
The vast majority of text transformation techniques in NLP are inherently limited in their ability to expand input space coverage due to an implicit constraint to preserve the orig…
cs.LG2020★ 1 cited
Is Q-Learning Provably Efficient? An Extended Analysis
Kushagra Rastogi, Jonathan Lee, Fabrice Harel-Canada +1
This work extends the analysis of the theoretical results presented within the paper Is Q-Learning Provably Efficient? by Jin et al. We include a survey of related research to cont…