Babbar, Rohit

15 publications

ICML 2025 ELMO : Efficiency via Low-Precision and Peak Memory Optimization in Large Output Spaces Jinbin Zhang, Nasib Ullah, Erik Schultheis, Rohit Babbar

TMLR 2025 Unbiased Loss Functions for Multilabel Classification with Missing Labels Erik Schultheis, Rohit Babbar

ICML 2024 A General Online Algorithm for Optimizing Complex Performance Metrics Wojciech Kotlowski, Marek Wydmuch, Erik Schultheis, Rohit Babbar, Krzysztof Dembczynski

ICLR 2024 Consistent Algorithms for Multi-Label Classification with Macro-at-$k$ Metrics Erik Schultheis, Wojciech Kotlowski, Marek Wydmuch, Rohit Babbar, Strom Borman, Krzysztof Dembczynski

MLJ 2024 Meta-Classifier Free Negative Sampling for Extreme Multilabel Classification Mohammadreza Qaraei, Rohit Babbar

NeurIPS 2024 Navigating Extremes: Dynamic Sparsity in Large Output Spaces Nasib Ullah, Erik Schultheis, Mike Lasby, Yani Ioannou, Rohit Babbar

NeurIPS 2023 Generalized Test Utilities for Long-Tail Performance in Extreme Multi-Label Classification Erik Schultheis, Marek Wydmuch, Wojciech Kotlowski, Rohit Babbar, Krzysztof J. Dembczynski

ECML-PKDD 2023 Towards Memory-Efficient Training for Extremely Large Output Spaces - Learning with 670k Labels on a Single Commodity GPU Erik Schultheis, Rohit Babbar

MLJ 2022 Adversarial Examples for Extreme Multilabel Text Classification Mohammadreza Qaraei, Rohit Babbar

NeurIPS 2022 CascadeXML: Rethinking Transformers for End-to-End Multi-Resolution Training in Extreme Multi-Label Classification Siddhant Kharbanda, Atmadeep Banerjee, Erik Schultheis, Rohit Babbar

MLJ 2022 Speeding-up One-Versus-All Training for Extreme Classification via Mean-Separating Initialization Erik Schultheis, Rohit Babbar

MLJ 2020 Bonsai: Diverse and Shallow Trees for Extreme Multi-Label Classification Sujay Khandagale, Han Xiao, Rohit Babbar

MLJ 2019 Data Scarcity, Robustness and Extreme Multi-Label Classification Rohit Babbar, Bernhard Schölkopf

JMLR 2016 Learning Taxonomy Adaptation in Large-Scale Classification Rohit Babbar, Ioannis Partalas, Eric Gaussier, Massih-Reza Amini, Cécile Amblard

NeurIPS 2013 On Flat Versus Hierarchical Classification in Large-Scale Taxonomies Rohit Babbar, Ioannis Partalas, Eric Gaussier, Massih R. Amini