5 citations · 7 across the 3 of their papers we have counts for
4 papers
Just Mix Once: Worst-group Generalization by Group Interpolation
Giorgio Giannone, Serhii Havrylov, Jordan Massiah +2
Advances in deep learning theory have revealed how average generalization relies on superficial patterns in data. The consequences are brittle models with poor performance with shi…
PARS: Pseudo-Label Aware Robust Sample Selection for Learning with Noisy Labels
Arushi Goel, Yunlong Jiao, Jordan Massiah
Acquiring accurate labels on large-scale datasets is both time consuming and expensive. To reduce the dependency of deep learning models on learning from clean labeled data, severa…
Universal Neural Vocoding with Parallel WaveNet
Yunlong Jiao, Adam Gabrys, Georgi Tinchev +3
We present a universal neural vocoder based on Parallel WaveNet, with an additional conditioning network called Audio Encoder. Our universal vocoder offers real-time high-quality s…
The Weighted Kendall and High-order Kernels for Permutations
Yunlong Jiao, Jean-Philippe Vert
We propose new positive definite kernels for permutations. First we introduce a weighted version of the Kendall kernel, which allows to weight unequally the contributions of differ…