5 citations · 11 across the 4 of their papers we have counts for
5 papers
When the Music Stops: Tip-of-the-Tongue Retrieval for Music
Samarth Bhargav, Anne Schuth, Claudia Hauff
We present a study of Tip-of-the-tongue (ToT) retrieval for music, where a searcher is trying to find an existing music entity, but is unable to succeed as they cannot accurately r…
Market-Aware Models for Efficient Cross-Market Recommendation
Samarth Bhargav, Mohammad Aliannejadi, Evangelos Kanoulas
We consider the cross-market recommendation (CMR) task, which involves recommendation in a low-resource target market using data from a richer, auxiliary source market. Prior work…
Reproducibility as a Mechanism for Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence
Ana Lucic, Maurits Bleeker, Sami Jullien +2
In this work, we explain the setup for a technical, graduate-level course on Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence (FACT-AI) at the…
Controllable Recommenders using Deep Generative Models and Disentanglement
Samarth Bhargav, Evangelos Kanoulas
In this paper, we consider controllability as a means to satisfy dynamic preferences of users, enabling them to control recommendations such that their current preference is met. W…
Sinkhorn AutoEncoders
Giorgio Patrini, Rianne van den Berg, Patrick Forré +5
Optimal transport offers an alternative to maximum likelihood for learning generative autoencoding models. We show that minimizing the p-Wasserstein distance between the generator…