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06/06/2023
Towards Memory-Efficient Training for Extremely Large Output Spaces – Learning with 500k Labels on a Single Commodity GPU
In classification problems with large output spaces (up to millions of l...
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10/29/2022
CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification
Extreme Multi-label Text Classification (XMC) involves learning a classi...
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07/26/2022
On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification
The propensity model introduced by Jain et al. 2016 has become a standar...
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12/14/2021
Adversarial Examples for Extreme Multilabel Text Classification
Extreme Multilabel Text Classification (XMTC) is a text classification p...
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10/20/2021
Propensity-scored Probabilistic Label Trees
Extreme multi-label classification (XMLC) refers to the task of tagging ...
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09/27/2021
Speeding-up One-vs-All Training for Extreme Classification via Smart Initialization
In this paper we show that a simple, data dependent way of setting the i...
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09/23/2021
Unbiased Loss Functions for Multilabel Classification with Missing Labels
This paper considers binary and multilabel classification problems in a ...
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09/13/2021
Embedding Convolutions for Short Text Extreme Classification with Millions of Labels
Automatic annotation of short-text data to a large number of target labe...
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07/01/2020
Unbiased Loss Functions for Extreme Classification With Missing Labels
The goal in extreme multi-label classification (XMC) is to tag an instan...
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04/17/2019
Bonsai - Diverse and Shallow Trees for Extreme Multi-label Classification
Extreme multi-label classification refers to supervised multi-label lear...
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03/05/2018
Adversarial Extreme Multi-label Classification
The goal in extreme multi-label classification is to learn a classifier ...
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09/08/2016