Seuraa
Samarth Bhargav
Samarth Bhargav
Postdoctoral Researcher, Information Retrieval Lab, University of Amsterdam
Vahvistettu sähköpostiosoite verkkotunnuksessa uva.nl - Kotisivu
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Viittaukset
Viittaukset
Vuosi
Sinkhorn autoencoders
G Patrini, R Berg, P Forré, M Carioni, S Bhargav, M Welling, T Genewein, ...
arXiv preprint arXiv:1810.01118, 2018
1232018
Reproducibility as a Mechanism for Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence
A Lucic, M Bleeker, S Jullien, S Bhargav, M de Rijke
Proceedings of the AAAI Symposium on Educational Advances in AI, 2021
232021
Robustness Evaluation of Entity Disambiguation Using Prior Probes: the Case of Entity Overshadowing
V Provatorova, S Vakulenko, S Bhargav, E Kanoulas
arXiv preprint arXiv:2108.10949, 2021
182021
'It's on the tip of my tongue' A new Dataset for Known-Item Retrieval
S Bhargav, G Sidiropoulos, E Kanoulas
Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022
162022
Towards Reproducible Machine Learning Research in Natural Language Processing
A Lucic, M Bleeker, S Bhargav, J Forde, K Sinha, J Dodge, S Luccioni, ...
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
122022
Deep Learning as a Tool for Early Cinema Analysis
S Bhargav, N van Noord, J Kamps
Proceedings of the 1st Workshop on Structuring and Understanding of …, 2019
112019
RecFusion: A Binomial Diffusion Process for 1D Data for Recommendation
G Bénédict, O Jeunen, S Papa, S Bhargav, D Odijk, M de Rijke
arXiv preprint arXiv:2306.08947, 2023
72023
When the Music Stops: Tip-of-the-Tongue Retrieval for Music
S Bhargav, A Schuth, C Hauff
Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023
62023
Overview of the trec 2023 tip-of-the-tongue track
J Arguello, S Bhargav, F Diaz, E Kanoulas, B Mitra
The Thirty-Second Text REtrieval Conference Proceedings (TREC 2023 …, 2023
32023
Teaching fairness, accountability, confidentiality, and transparency in artificial intelligence through the lens of reproducibility
A Lucic, M Bleeker, S Jullien, S Bhargav, M de Rijke
arXiv: Artificial Intelligence, 2021
32021
Controllable Recommenders using Deep Generative Models and Disentanglement
S Bhargav, E Kanoulas
arXiv preprint arXiv:2110.05056, 2021
32021
Market-Aware Models for Efficient Cross-Market Recommendation
S Bhargav, M Aliannejadi, E Kanoulas
European Conference on Information Retrieval, 134-149, 2023
22023
Multivariate dense retrieval: A reproducibility study under a memory-limited setup
G Sidiropoulos, S Bhargav, P Eustratiadis, E Kanoulas
Transactions on Machine Learning Research, 2025
1*2025
Navigating uncertain waters in information retrieval: Adapting to domain shifts and complex information needs
S Bhargav
2024
ACL Tutorial Proposal: Towards Reproducible Machine Learning Research in Natural Language Processing
A Lucic, M Bleeker, S Bhargav, JZ Forde, K Sinha, J Dodge, S Luccioni, ...
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Artikkelit 1–15