Rohit Babbar
10 papers · 2013–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Academic Marathon (12) π§ Keyword Pioneer π Interdisciplinary Bridge π£ Hot Topic Early Bird
π§
Keyword Pioneer
π
Conference Polyglot
(6)
π
Academic Marathon
(12)
π
Triple Crown
π
Trend Setter
π
Century Club
(10)
Conferences
NIPS (4)
ICML (2)
ACL (1)
COLING (1)
ICLR (1)
JMLR (1)
Top co-authors
Keywords
extreme multi-label classification
(3)
text classification
(2)
hierarchical classification
(2)
generalization bound
(2)
bert model
(1)
pseudo labeling
(1)
efficient computing
(1)
large-scale classification
(1)
generalization error
(1)
multi-class classification
(1)
approximation error
(1)
label tree
(1)
generalization error bound
(1)
taxonomy pruning
(1)
meta-classifier
(1)
large-scale taxonomies
(1)
regret bound
(1)
dynamic sparse training
(1)
integrated gradient
(1)
multi-resolution learning
(1)
Papers
Large Language Model as a Teacher for Zero-shot Tagging at Extreme Scales
COLING 2025
ELMO : Efficiency via Low-precision and Peak Memory Optimization in Large Output Spaces
ICML 2025
A General Online Algorithm for Optimizing Complex Performance Metrics
ICML 2024
Navigating Extremes: Dynamic Sparsity in Large Output Spaces
NIPS 2024
Consistent algorithms for multi-label classification with macro-at-$k$ metrics
ICLR 2024
Generalized test utilities for long-tail performance in extreme multi-label classification
NIPS 2023
CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification
NIPS 2022
Explainable Publication Year Prediction of Eighteenth Century Texts with the BERT Model
ACL 2022
Learning Taxonomy Adaptation in Large-scale Classification
JMLR 2016
On Flat versus Hierarchical Classification in Large-Scale Taxonomies
NIPS 2013