Skip to content (access key 's')
Logo of Technion
Logo of CS Department
Events

Events

Efficient Extreme Classification
event speaker icon
Itay Evron, M.Sc. Thesis Seminar
event date icon
Wednesday, 9.5.2018, 13:30
event location icon
Taub 601
In extreme classification problems, machine learning algorithms are required to map instances to labels from an extremely large label set. We build on a recent extreme classification framework with logarithmic time and space, and on a general approach for error correcting output coding (ECOC), and introduce a flexible and efficient approach accompanied by bounds. Our framework employs output codes induced by graphs, and offers a tradeoff between accuracy and model size. We show how to find the sweet spot of this tradeoff using only the training data. Our experimental study demonstrates the validity of our assumptions and claims, and shows the superiority of our method compared with state-of-the-art algorithms.
[Back to the index of events]