Rebecca Salganik

According to our database, Rebecca Salganik authored at least 7 papers between 2022 and 2026.

Collaborative distances:

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

2026

MusicSem: A Semantically Rich Language-Audio Dataset of Natural Music Descriptions.

Rebecca Salganik, Teng Tu, Fei-Yueh Chen, Xiaohao Liu, Keifeng Lu, Ethan Luvisia, Zhiyao Duan, Guillaume Salha-Galvan, Anson Kahng, Yunshan Ma, Jian Kang

CoRR, February, 2026

2025

FairExpand: Individual Fairness on Graphs with Partial Similarity Information.

Rebecca Salganik, Yibin Wang, Guillaume Salha-Galvan, Jian Kang

CoRR, December, 2025

2024

Navigating Discoverability in the Digital Era: A Theoretical Framework.

Rebecca Salganik, Valdy Wiratama, Adelaida Afilipoaie, Heritiana Ranaivoson

Proceedings of the 2nd Music Recommender Systems Workshop 2024 co-located with the 18th ACM Conference on Recommender Systems (RecSys 2024), 2024

LARP: Language Audio Relational Pre-training for Cold-Start Playlist Continuation.

Rebecca Salganik, Xiaohao Liu, Yunshan Ma, Jian Kang, Tat-Seng Chua

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Fairness Through Domain Awareness: Mitigating Popularity Bias for Music Discovery.

Rebecca Salganik, Fernando Diaz, Golnoosh Farnadi

Proceedings of the Advances in Information Retrieval, 2024

2023

Harms from Increasingly Agentic Algorithmic Systems.

Alan Chan, Rebecca Salganik, Alva Markelius, Chris Pang, Nitarshan Rajkumar, Dmitrii Krasheninnikov, Lauro Langosco, Zhonghao He, Yawen Duan, Micah Carroll, Michelle P. Lin, Alex Mayhew, Katherine M. Collins, Maryam Molamohammadi, John Burden, Wanru Zhao, Shalaleh Rismani, Konstantinos Voudouris, Umang Bhatt, Adrian Weller, David Krueger, Tegan Maharaj

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

Analyzing the Effect of Sampling in GNNs on Individual Fairness.

Rebecca Salganik, Fernando Diaz, Golnoosh Farnadi

CoRR, 2022