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 large set 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 Technology Observatory | Jul 27, 2022 | Search Trends
Search trends for GPT-3 (blue), DALL-E 2 (red), Hugging Face (yellow), and OpenAI (green). The vertical axis represents the index of Google Search (a proxy for the interest captured by the popularity of top search queries in Google Search across various regions and...
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...
