Rohit Babbar

T313 Dept. Computer Science

I am an Assistant Professor at the department of Computer Science, Aalto University in Finland. Along with my research group, we work on problems in large scale machine learning particularly encountered in extreme classification with large output spaces, and robustness

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Areas of expertise

large scale learning, extreme multi-label classification, deep learning, sequential data, robustness

Honors and awards

Outstanding Reviewer Award ACL 2021 Conference

Award or honor granted for a specific work Computer Science Professors Jul 2021


CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification

Siddhant Kharbanda, Atmadeep Banerjee, Erik Schultheis, Rohit Babbar 2022 Advances in Neural Information Processing Systems 35 (NeurIPS 2022)

Adversarial examples for extreme multilabel text classification

Mohammadreza Mohammadnia Qaraei, Rohit Babbar 2022 Machine Learning

Explainable Publication Year Prediction of Eighteenth Century Texts with the BERT Model

Iiro Rastas, Yann Ciarán Ryan, Iiro Tiihonen, Mohammadreza Mohammadnia Qaraei, Liina Repo, Rohit Babbar, Eetu Mäkelä, Mikko Tolonen, Filip Ginter 2022 Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change

Beyond Standard Performance Measures in Extreme Multi-label Classification

Erik Schultheis, Marek Wydmuch, Rohit Babbar, Krzysztof Dembczynski 2022

On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification

Erik Schultheis, Rohit Babbar, Marek Wydmuch, Krzysztof Dembczynski 2022 Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Detecting Sequential Genre Change in Eighteenth-Century Texts

Jinbin Zhang, Yann Ciarán Ryan, Iiro Rastas, Filip Ginter, Mikko Tolonen, Rohit Babbar 2022 Computational Humanities Research 2022

InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme Classification

Siddhant Kharbanda, Atmadeep Banerjee, Akash Palrecha, Devaansh Gupta, Rohit Babbar 2021

Convex Surrogates for Unbiased Loss Functions in Extreme Classification With Missing Labels

Mohammadreza Mohammadnia Qaraei, Erik Schultheis, Priyanshu Gupta, Rohit Babbar 2021 The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021