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
Contact details
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Publications
2022
- 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. https://doi.org/10.1145/3488560.3498421
- 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. https://doi.org/10.18653/v1/2022.acl-tutorials.2
- 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. https://doi.org/10.1609/aaai.v36i11.21558
2021
- 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. https://doi.org/10.18653/v1/2021.emnlp-main.820
2019
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. https://doi.org/10.1145/3347317.3357240 [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. https://arxiv.org/abs/1810.01118 [details]
2021
- Bhargav, S., & Kanoulas, E. (2021). Controllable Recommenders using Deep Generative Models and Disentanglement. CoRR, abs/2110.05056. https://arxiv.org/abs/2110.05056
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Ancillary activities
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Spotify
Internship
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Spotify
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.