Nasib Ullah

Nasib Ullah

 https://orcid.org/0009-0005-3153-6734
    20242025

    Research activity per year

    Personal profile

    Artistic and research interests

    Extreme Classification, Sparse Neural Networks, Multimodal Learning.

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    • 3 Conference article in proceedings

    • Large Language Model as a Teacher for Zero-shot Tagging at Extreme Scales

      Zhang, J., Ullah, N. & Babbar, R., 2025, The 31st International Conference on Computational Linguistics (COLING 2025). Rambow, O., Wanner, L., Apidianaki, M., Al-Khalifa, H., Di Eugenio, B. & Schockaert, S. (eds.). Association for Computational Linguistics, p. 3465-3478 14 p. (International Conference on Computational Linguistics; vol. Part F206484-1).

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      Open Access
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      1 Downloads (Pure)

    • Navigating Extremes: Dynamic Sparsity in Large Output Spaces

      Ullah, N., Schultheis, E., Lasby, M., Ioannou, Y. & Babbar, R., 2025, Advances in Neural Information Processing Systems 37 (NeurIPS 2024). Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J. & Zhang, C. (eds.). Curran Associates Inc., 27 p. (Advances in Neural Information Processing Systems; vol. 37).

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      Open Access

    • Labels in Extremes: How Well Calibrated are Extreme Multi-label Classifiers?

      Ullah, N., Schultheis, E., Zhang, J. & Babbar, R., 17 Nov 2024, (Accepted/In press) KDD 2025 :Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 21 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review