Michael Hassid

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 14

Top Topics

Top Venues

Trans. Assoc. Comput. Linguistics

Publications

Michael Hassid, Tal Remez, Jonas Gehring, Roy Schwartz, Yossi Adi
The Larger the Better? Improved LLM Code-Generation via Budget Reallocation. CoRR (2024)
Matanel Oren, Michael Hassid, Yossi Adi, Roy Schwartz
Transformers are Multi-State RNNs. CoRR (2024)
Marcos V. Treviso, Ji-Ung Lee, Tianchu Ji, Betty van Aken, Qingqing Cao, Manuel R. Ciosici, Michael Hassid, Kenneth Heafield, Sara Hooker, Colin Raffel, Pedro Henrique Martins, André F. T. Martins, Jessica Zosa Forde, Peter A. Milder, Edwin Simpson, Noam Slonim, Jesse Dodge, Emma Strubell, Niranjan Balasubramanian, Leon Derczynski, Iryna Gurevych, Roy Schwartz
Efficient Methods for Natural Language Processing: A Survey. Trans. Assoc. Comput. Linguistics 11 (2023)
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
Expresso: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis. INTERSPEECH (2023)
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
EXPRESSO: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis. CoRR (2023)
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
Textually Pretrained Speech Language Models. NeurIPS (2023)
Daniel Rotem, Michael Hassid, Jonathan Mamou, Roy Schwartz
Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings. ACL (1) (2023)
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
Textually Pretrained Speech Language Models. CoRR (2023)
Daniel Rotem, Michael Hassid, Jonathan Mamou, Roy Schwartz
Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings. CoRR (2023)
Michael Hassid, Hao Peng, Daniel Rotem, Jungo Kasai, Ivan Montero, Noah A. Smith, Roy Schwartz
How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers. EMNLP (Findings) (2022)
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
Efficient Methods for Natural Language Processing: A Survey. CoRR (2022)
Michael Hassid, Hao Peng, Daniel Rotem, Jungo Kasai, Ivan Montero, Noah A. Smith, Roy Schwartz
How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers. CoRR (2022)
Michael Hassid, Michelle Tadmor Ramanovich, Brendan Shillingford, Miaosen Wang, Ye Jia, Tal Remez
More than Words: In-the-Wild Visually-Driven Prosody for Text-to-Speech. CVPR (2022)
Michael Hassid, Michelle Tadmor Ramanovich, Brendan Shillingford, Miaosen Wang, Ye Jia, Tal Remez
More than Words: In-the-Wild Visually-Driven Prosody for Text-to-Speech. CoRR (2021)