Classification Under Ambiguity: When Is Average-K Better Than Top-K?

no code implementations • 16 Dec 2021 • Titouan Lorieul, Alexis Joly, Dennis Shasha

This paper formally characterizes the ambiguity profile when average-$K$ classification can achieve a lower error rate than a fixed top-$K$ classification.

Classification

Multi-Label Learning from Single Positive Labels

2 code implementations • CVPR 2021 • Elijah Cole, Oisin Mac Aodha, Titouan Lorieul, Pietro Perona, Dan Morris, Nebojsa Jojic

When the number of potential labels is large, human annotators find it difficult to mention all applicable labels for each training image.

Missing Labels Multi-Label Image Classification

Set-valued classification -- overview via a unified framework

no code implementations • 24 Feb 2021 • Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Titouan Lorieul

Multi-class classification problem is among the most popular and well-studied statistical frameworks.

Classification General Classification +1

The GeoLifeCLEF 2020 Dataset

1 code implementation • 8 Apr 2020 • Elijah Cole, Benjamin Deneu, Titouan Lorieul, Maximilien Servajean, Christophe Botella, Dan Morris, Nebojsa Jojic, Pierre Bonnet, Alexis Joly

Understanding the geographic distribution of species is a key concern in conservation.