3 papers
cs.LG2024
ASTRA: Accurate and Scalable ANNS-based Training of Extreme Classifiers
Sonu Mehta, Jayashree Mohan, Nagarajan Natarajan +2
`Extreme Classification'' (or XC) is the task of annotating data points (queries) with relevant labels (documents), from an extremely large set of possible labels, arising in s…
cs.IR2024
CROSS-JEM: Accurate and Efficient Cross-encoders for Short-text Ranking Tasks
Bhawna Paliwal, Deepak Saini, Mudit Dhawan +6
Ranking a set of items based on their relevance to a given query is a core problem in search and recommendation. Transformer-based ranking models are the state-of-the-art approache…
cs.LG2024
On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification
Jatin Prakash, Anirudh Buvanesh, Bishal Santra +6
Extreme Classification (XC) aims to map a query to the most relevant documents from a very large document set. XC algorithms used in real-world applications learn this mapping from…