2 citations · 2 across the 4 of their papers we have counts for
4 papers
Extreme Meta-Classification for Large-Scale Zero-Shot Retrieval
Sachin Yadav, Deepak Saini, Anirudh Buvanesh +6
We develop accurate and efficient solutions for large-scale retrieval tasks where novel (zero-shot) items can arrive continuously at a rapid pace. Conventional Siamese-style approa…
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…
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…
Graph Regularized Encoder Training for Extreme Classification
Anshul Mittal, Shikhar Mohan, Deepak Saini +10
Deep extreme classification (XC) aims to train an encoder architecture and an accompanying classifier architecture to tag a data point with the most relevant subset of labels from…