Samarth Bhargav

According to our database, Samarth Bhargav authored at least 11 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

RecFusion: A Binomial Diffusion Process for 1D Data for Recommendation.

Gabriel Bénédict, Olivier Jeunen, Samuele Papa, Samarth Bhargav, Daan Odijk, Maarten de Rijke

CoRR, 2023

When the Music Stops: Tip-of-the-Tongue Retrieval for Music.

Samarth Bhargav, Anne Schuth, Claudia Hauff

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Market-Aware Models for Efficient Cross-Market Recommendation.

Samarth Bhargav, Mohammad Aliannejadi, Evangelos Kanoulas

Proceedings of the Advances in Information Retrieval, 2023

2022

'It's on the tip of my tongue': A new Dataset for Known-Item Retrieval.

Samarth Bhargav, Georgios Sidiropoulos, Evangelos Kanoulas

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Towards Reproducible Machine Learning Research in Natural Language Processing.

Ana Lucic, Maurits J. R. Bleeker, Samarth Bhargav, Jessica Zosa Forde, Koustuv Sinha, Jesse Dodge, Sasha Luccioni, Robert Stojnic

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

Reproducibility as a Mechanism for Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence.

Ana Lucic, Maurits J. R. Bleeker, Sami Jullien, Samarth Bhargav, Maarten de Rijke

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence through the Lens of Reproducibility.

Ana Lucic, Maurits J. R. Bleeker, Sami Jullien, Samarth Bhargav, Maarten de Rijke

CoRR, 2021

Controllable Recommenders using Deep Generative Models and Disentanglement.

Samarth Bhargav, Evangelos Kanoulas

CoRR, 2021

Robustness Evaluation of Entity Disambiguation Using Prior Probes: the Case of Entity Overshadowing.

Vera Provatorova, Samarth Bhargav, Svitlana Vakulenko, Evangelos Kanoulas

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2019

Sinkhorn AutoEncoders.

Giorgio Patrini, Rianne van den Berg, Patrick Forré, Marcello Carioni, Samarth Bhargav, Max Welling, Tim Genewein, Frank Nielsen

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Deep Learning as a Tool for Early Cinema Analysis.

Samarth Bhargav, Nanne van Noord, Jaap Kamps

Proceedings of the 1st Workshop on Structuring and Understanding of Multimedia heritAge Contents, 2019