Extreme Multi Class Classification

By Anna Choromanska. 2013

Subfields: Natural Language Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Natural Language Processing

1. Silvio Savarese
2. Zhaoxiang Zhang
3. Kevin P. Murphy
4. Hyun Oh Song
5. Stefanie Sabrina Jegelka
6. Yuntao Chen
7. Naiyan Wang

Citations in the corpus

• Quantifying Learning Guarantees for Convex but Inconsistent Surrogates (2018, neutral): “[6] Choromanska, Anna, Agarwal, Alekh, and Langford, John.”
• Deep Metric Learning via Lifted Structured Feature Embedding (2015, background): “Deep metric learning: Bromley et al. [3] paved the way on deep metric learning and trained Siamese networks for signature verification.”
• Deep Metric Learning via Facility Location (2016, background): “Furthermore, metric learning can be used for challenging extreme classification settings [23, 5, 40], where the number of classes is very large and the number of examples per class becomes scarce.”
• DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer (2017, methodology): “Note that there are also some cases that the identity is not available, thus makes KD not applicable, such as tasks like extreme classification [39].”