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S. (Samarth) Bhargav MSc

Faculty of Science
Informatics Institute

Visiting address
  • Science Park 904
  • Room number: 1.08
Postal address
  • Postbus 94323
    1090 GH Amsterdam
  • Publications


    • Bhargav, S., Sidiropoulos, G., & Kanoulas, E. (2022). 'It's on the Tip of My Tongue': A New Dataset for Known-Item Retrieval. In Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (pp. 48–56). (WSDM '22). Association for Computing Machinery.
    • Lucic, A., Bleeker, M., Bhargav, S., Forde, J., Sinha, K., Dodge, J., Luccioni, S., & Stojnic, R. (2022). ACL tutorial proposal: Towards Reproducible Machine Learning Research in Natural Language Processing. In L. Benotti, N. Okazaki, Y. Scherrer, & M. Zampieri (Eds.), The 60th Annual Meeting of the Association for Computational Linguistics: ACL 2022 : tutorial abstracts : May 22-27, 2022 (pp. 7-11). Association for Computational Linguistics.
    • Lucic, A., Bleeker, M., Jullien, S., Bhargav, S., & de Rijke, M. (2022). Reproducibility as a Mechanism for Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence. Proceedings of the AAAI Conference on Artificial Intelligence, 36(11), 12792-12800.


    • Provatorova, V., Bhargav, S., Vakulenko, S., & Kanoulas, E. (2021). Robustness Evaluation of Entity Disambiguation Using Prior Probes: the Case of Entity Overshadowing. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (pp. 10501-10510). Association for Computational Linguistics.


    • Bhargav, S., van Noord, N., & Kamps, J. (2019). Deep learning as a tool for early cinema analysis. In SUMAC '19: proceedings of the 1st Workshop on Structuring and Understanding of Multimedia Heritage Contents : October 21, 2019, Nice, France (pp. 61-68). The Association for Computing Machinery. [details]
    • Patrini, G., van den Berg, R., Forré, P., Carioni, M., Bhargav, S., Welling, M., Genewein, T., & Nielsen, F. (2019). Sinkhorn AutoEncoders. In A. Globerson, & R. Silva (Eds.), Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence: UAI 2019, Tel Aviv, Israel, July 22-25, 2019 [253] AUAI Press. [details]


    • Bhargav, S., & Kanoulas, E. (2021). Controllable Recommenders using Deep Generative Models and Disentanglement. CoRR, abs/2110.05056.
    This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications. Log in to Personal Page Publication Selection tool to manage the visibility of your publications on this list.
  • Ancillary activities
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