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researcher

Rohit Babbar

8 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1
  • last author6

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.LG6
  • stat.ML2
same name
  • Rohit Babbar — 4 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182024
most citedPropensity-scored Probabilistic Label Trees

7 citations · 17 across the 6 of their papers we have counts for

collaborators
Showing stat.MLShow all

2 papers · 1 filter

stat.ML2020★ 4 cited

Unbiased Loss Functions for Extreme Classification With Missing Labels

Erik Schultheis, Mohammadreza Qaraei, Priyanshu Gupta +1

The goal in extreme multi-label classification (XMC) is to tag an instance with a small subset of relevant labels from an extremely large set of possible labels. In addition to the…

stat.ML2018

Adversarial Extreme Multi-label Classification

Rohit Babbar, Bernhard Schölkopf

The goal in extreme multi-label classification is to learn a classifier which can assign a small subset of relevant labels to an instance from an extremely large set of target labe…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.