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Samarth Bhargav
Samarth Bhargav
PhD Candidate, Information Retrieval Lab, University of Amsterdam
Verified email at uva.nl - Homepage
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Sinkhorn autoencoders
G Patrini, R Berg, P Forré, M Carioni, S Bhargav, M Welling, T Genewein, ...
arXiv preprint arXiv:1810.01118, 2018
832018
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
82019
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
62021
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
42022
'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
22022
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
22021
Market-Aware Models for Efficient Cross-Market Recommendation
S Bhargav, M Aliannejadi, E Kanoulas
Advances in Information Retrieval: 45th European Conference on Information …, 2023
2023
Controllable Recommenders using Deep Generative Models and Disentanglement
S Bhargav, E Kanoulas
arXiv preprint arXiv:2110.05056, 2021
2021
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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