Bhargav, S., Aliannejadi, M., & Kanoulas, E. (2023). Market-Aware Models for Efficient Cross-Market Recommendation. In J. Kamps, L. Goeuriot, F. Crestani, M. Maistro, H. Joho, B. Davis, C. Gurrin, U. Kruschwitz, & A. Caputo (Eds.), Advances in Information Retrieval: 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2–6, 2023 : proceedings (Vol. I, pp. 134-149). (Lecture Notes in Computer Science; Vol. 13980). Springer. https://doi.org/10.1007/978-3-031-28244-7_9[details]
Bhargav, S., Schuth, A., & Hauff, C. (2023). When the Music Stops: Tip-of-the-Tongue Retrieval for Music. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 2506–2510). (SIGIR '23). Association for Computing Machinery. https://doi.org/10.1145/3539618.3592086
2022
Bhargav, S., Sidiropoulos, G., & Kanoulas, E. (2022). 'It's on the Tip of My Tongue': A New Dataset for Known-Item Retrieval. In WSDM '22: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining : February 21-25, 2022 : virtual event, Tempe, AZ, USA (pp. 48–56). Association for Computing Machinery. https://doi.org/10.1145/3488560.3498421[details]
Lucic, A., Bleeker, M., Bhargav, S., Forde, J. Z., 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[details]
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[details]
Provatorova, V., Bhargav, S., Vakulenko, S., & Kanoulas, E. (2021). Robustness Evaluation of Entity Disambiguation Using Prior Probes: the Case of Entity Overshadowing. In M-C. Moens, X. Huang, L. Specia, & S. W. Yih (Eds.), 2021 Conference on Empirical Methods in Natural Language Processing: EMNLP 2021 : proceedings of the conference : November 7-11, 2021 (pp. 10501-10510). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.emnlp-main.820[details]
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 Article 253 AUAI Press. https://arxiv.org/abs/1810.01118[details]
Bénédict, G., Jeunen, O., Papa, S., Bhargav, S., Odijk, D., & Rijke, M. D. (2023). RecFusion: A Binomial Diffusion Process for 1D Data for Recommendation.
De UvA gebruikt cookies voor het meten, optimaliseren en goed laten functioneren van de website. Ook worden er cookies geplaatst om inhoud van derden te kunnen tonen en voor marketingdoeleinden. Klik op ‘Accepteer alle cookies’ om akkoord te gaan met het plaatsen van alle cookies. Of kies voor ‘Weigeren’ om alleen functionele en analytische cookies te accepteren. Lees ook het UvA Privacy statement.