François Savard

2 papers · 2011–2025 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Bronze 🐣 Hot Topic Early Bird 👥 Mega-Team · Squad

🧭 Keyword Pioneer 📈 Trend Setter

Venues

AISTATS (1) ICLR (1)

Top co-authors

Yoshua Bengio (2) Aarash Feizi (1) Jeremy Eustache (1) Nicolas Boulanger–Lewandowski (1) Siba Smarak Panigrahi (1) Nicolas Chapados (1) Marco Pedersoli (1) Pierre-André Noël (1) Rabiul Awal (1) Xavier Muller (1)

Research topics

Deep Learning (2) Learning Types · Deep Learning (2) Artificial Intelligence (1) Machine Learning (1) Natural Language Processing (1) Applications (1) Architectures (1) Core AI (1) Core Methods (1) Learning Types · Machine Learning (1)

Keywords

representation learning (1) multi-task learning (1) benchmark suite (1) multimodal learning (1) document understanding (1) code generation (1) deep learning (1) dataset curation (1) character recognition (1) handwritten character recognition (1) out-of-distribution learning (1)

Papers

BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks ICLR 2025 Deep Learners Benefit More from Out-of-Distribution Examples AISTATS 2011