Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Projects
- 1 Finished
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NERC GW4+: Leveraging Deep Learning to Uncover Hidden Patterns of Adverse Events in FAERS Data
Nishtala, P. (PI) & Babbar, R. (PI)
1/07/23 → 31/08/23
Project: Research council
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A General Online Algorithm for Optimizing Complex Performance Metrics
Kotłowski, W., Wydmuch, M., Schultheis, E., Babbar, R. & Dembczyński, K., 27 Jul 2024, (E-pub ahead of print) In: Proceedings of Machine Learning Research. 235, p. 25396-25425 30 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Gandalf: Learning Label-label Correlations in Extreme Multi-label Classification via Label Features
Kharbanda, S., Gupta, D., Schultheis, E., Banerjee, A., Hsieh, C. J. & Babbar, R., 25 Aug 2024, KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. U.S. A.: Association for Computing Machinery, p. 1360-1371 12 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding
Open Access -
Generalized test utilities for long-tail performance in extreme multi-label classification
Schultheis, E., Wydmuch, M., Kotłowski, W., Babbar, R. & Dembczyński, K., 9 Nov 2023, 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). Neural Information Processing Systems Foundation, Inc., Vol. 36. 35 p.Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding
Open AccessFile27 Downloads (Pure) -
InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme Classification
Kharbanda, S., Banerjee, A., Gupta, D., Palrecha, A. & Babbar, R., 18 Jul 2023, SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, p. 760-769 10 p. (SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval).Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding
3 Citations (SciVal) -
Meta-classifier free negative sampling for extreme multilabel classification
Qaraei, M. & Babbar, R., 20 Nov 2023, In: Machine Learning. 113, 2, p. 675-697 23 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (SciVal)