by Natalia Ostapuk, Ljiljana Dolamic, Alain Mermoud, Philippe Cudré-Mauroux | May 31, 2024 | Publications, Scientific Articles
Abstract: Extreme multi-label (XML) classification involves assigning multiple labels to an instance from an extremely largeset of possible labels. Despite its significance, zero-shot learning within the context of XML classification remains relatively understudied....
by Natalia Ostapuk, Julien Audiffren, Ljiljana Dolamic, Alain Mermoud, Philippe Cudré-Mauroux | May 13, 2024 | Podcasts, Publications, Scientific Articles
Abstract: Extreme Multi Label (XML) problems, and in particular XML completion — the task of prediction the missing labels of an entity — have attracted significant attention in the past few years. Most XML completion problems can organically leverage a...
by Ines Arous, Ljiljana Dolamic, Jie Yang, Akansha Bhardwaj, Giuseppe Cuccu, Philippe Cudré-Mauroux | May 18, 2021 | Podcasts, Scientific Articles
Abstract Explainability is a key requirement for text classification in many application domains ranging from sentiment analysis to medical diagnosis or legal reviews. Existing methods often rely on “attention” mechanisms for explaining classification...
