3 papers
stat.ML2024
Learning Differentiable Surrogate Losses for Structured Prediction
Junjie Yang, Matthieu Labeau, Florence d'Alché-Buc
Structured prediction involves learning to predict complex structures rather than simple scalar values. The main challenge arises from the non-Euclidean nature of the output space,…
cs.CL2024
The Impact of Word Splitting on the Semantic Content of Contextualized Word Representations
Aina Garí Soler, Matthieu Labeau, Chloé Clavel
When deriving contextualized word representations from language models, a decision needs to be made on how to obtain one for out-of-vocabulary (OOV) words that are segmented into s…
stat.ML2023
Exploiting Edge Features in Graphs with Fused Network Gromov-Wasserstein Distance
Junjie Yang, Matthieu Labeau, Florence d'Alché-Buc
Pairwise comparison of graphs is key to many applications in Machine learning ranging from clustering, kernel-based classification/regression and more recently supervised graph pre…