With Teja Prabhu on improving transfer learning for
semantic segmentation
(Prabhu
and Fleuret, 2021).
With Suraj Srinivas on interpreting the gradient of a
model's output with respect to its input
(Srinivas
and Fleuret, 2021).
With Tatjana Chavdarova, Matteo Pagliardini, Sebastian
Stich, and Martin Jaggi on using Look-Ahead optimization
for training GANs
(Chavdarova
et al, 2021).
With Apoorv Vyas and Angelos Katharopoulos on speeding up
transformers by clustering queries
(Vyas et al,
2020).
With Vincent Micheli and Martin d'Hoffschmidt on the
required amount of data for pre-training language models
(Micheli et
al, 2020).
With Evann Courdier on a new performance measure for real-time
semantic segmentation
(Courdier
and Fleuret, 2020).