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Anshul Mittal

3 accepted papers

2025

MOGIC: Metadata-infused Oracle Guidance for Improved Extreme Classification

ICML 2025poster

Retrieval-augmented classification and generation models benefit from *early-stage fusion* of high-quality text-based metadata, often called memory, but face high latency and noise sensitivity. In extreme classification (XC), where low latency is crucial, existing methods use *late-stage fusion* for…

2024

OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification

ICML 2024poster

The objective in eXtreme Classification (XC) is to find relevant labels for a document from an exceptionally large label space. Most XC application scenarios have rich auxiliary data associated with the input documents, e.g., frequently clicked webpages for search queries in sponsored search. Unfort…

Cited by 2SourcePDFScholar
2022

Multi-Modal Extreme Classification

CVPR 2022poster

This paper develops the MUFIN technique for extreme classification (XC) tasks with millions of labels where datapoints and labels are endowed with visual and textual descriptors. Applications of MUFIN to product-to-product recommendation and bid query prediction over several millions of products are…

Cited by 16PDFcodeScholar