Michael Hassid

According to our database, Michael Hassid authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

Transformers are Multi-State RNNs.

Matanel Oren, Michael Hassid, Yossi Adi, Roy Schwartz

CoRR, 2024

2023

EXPRESSO: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis.

Tu Anh Nguyen, Wei-Ning Hsu, Antony D'Avirro, Bowen Shi, Itai Gat, Maryam Fazel-Zarandi, Tal Remez, Jade Copet, Gabriel Synnaeve, Michael Hassid, Felix Kreuk, Yossi Adi, Emmanuel Dupoux

CoRR, 2023

Textually Pretrained Speech Language Models.

Michael Hassid, Tal Remez, Tu Anh Nguyen, Itai Gat, Alexis Conneau, Felix Kreuk, Jade Copet, Alexandre Défossez, Gabriel Synnaeve, Emmanuel Dupoux, Roy Schwartz, Yossi Adi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings.

Daniel Rotem, Michael Hassid, Jonathan Mamou, Roy Schwartz

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Efficient Methods for Natural Language Processing: A Survey.

Marcos V. Treviso, Tianchu Ji, Ji-Ung Lee, Betty van Aken, Qingqing Cao, Manuel R. Ciosici, Michael Hassid, Kenneth Heafield, Sara Hooker, Pedro Henrique Martins, André F. T. Martins, Peter A. Milder, Colin Raffel, Edwin Simpson, Noam Slonim, Niranjan Balasubramanian, Leon Derczynski, Roy Schwartz

CoRR, 2022

How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers.

Michael Hassid, Hao Peng, Daniel Rotem, Jungo Kasai, Ivan Montero, Noah A. Smith, Roy Schwartz

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

More than Words: In-the-Wild Visually-Driven Prosody for Text-to-Speech.

Michael Hassid, Michelle Tadmor Ramanovich, Brendan Shillingford, Miaosen Wang, Ye Jia, Tal Remez

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022