no code implementations • ACL (MetaNLP) 2021 • Cyprien de Lichy, Hadrien Glaude, William Campbell
Meta-learning has recently been proposed to learn models and algorithms that can generalize from a handful of examples.
no code implementations • 24 Jan 2022 • Ninareh Mehrabi, Cyprien de Lichy, John McKay, Cynthia He, William Campbell
With this goal in mind, we conduct studies to show that FL is able to satisfy different fairness metrics under different data regimes consisting of different types of clients.
no code implementations • WS 2019 • Varun Kumar, Hadrien Glaude, Cyprien de Lichy, William Campbell
In particular, we show that (a) upsampling in latent space is a competitive baseline for feature space augmentation (b) adding the difference between two examples to a new example is a simple yet effective data augmentation method.