Maximilien Servajean

4 papers · 2019–2025 · 4 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

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (11)

Venues

ICML (1) NeurIPS (1) SemEval (1) WACV (1)

Top co-authors

Alexis Joly (3) Joseph Salmon (2) Camille Garcin (2) Jérôme Azé (1) Lukas Picek (1) César Leblanc (1) Rémi Palard (1) Sandra Bringay (1) Théo Larcher (1) Christophe Botella (1)

Research topics

Machine Learning (4) Core Methods (4) Deep Learning (3) Artificial Intelligence (2) Optimization & Theory (2) Application Areas (1) Architectures (1) Core AI (1) Learning Paradigms (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Techniques (1)

Keywords

loss function (2) transfer learning (1) multi-label classification (1) deep learning (1) remote sensing (1) emotion detection (1) top-k classification (1) hinge loss (1) imbalanced classification (1) cross-entropy loss (1) conversation modeling (1) species distribution model (1) average-k classification (1) top-k metrics (1) multimodal approach (1) presence-only data (1) stochastic optimization (1) environmental raster (1)

Papers

A Two-Head Loss Function for Deep Average-K Classification WACV 2025 GeoPlant: Spatial Plant Species Prediction Dataset NeurIPS 2024 Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification ICML 2022 LIRMM-Advanse at SemEval-2019 Task 3: Attentive Conversation Modeling for Emotion Detection and Classification SemEval 2019