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2020 – today
- 2024
[c6]Matanel Oren, Michael Hassid, Yarden Nir, Yossi Adi, Roy Schwartz:
Transformers are Multi-State RNNs. EMNLP 2024: 18724-18741- [i8]Matanel Oren, Michael Hassid, Yossi Adi, Roy Schwartz:
Transformers are Multi-State RNNs. CoRR abs/2401.06104 (2024) - [i7]Michael Hassid, Tal Remez, Jonas Gehring, Roy Schwartz, Yossi Adi:
The Larger the Better? Improved LLM Code-Generation via Budget Reallocation. CoRR abs/2404.00725 (2024) - 2023
- [j1]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: 826-860 (2023) - [c5]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: 14836-14851 - [c4]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: 4823-4827 - [c3]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 - [i6]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 abs/2305.13009 (2023) - [i5]Daniel Rotem, Michael Hassid, Jonathan Mamou, Roy Schwartz:
Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings. CoRR abs/2306.02307 (2023) - [i4]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 abs/2308.05725 (2023) - 2022
- [c2]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: 10577-10587 - [c1]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: 1403-1416 - [i3]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 abs/2209.00099 (2022) - [i2]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 abs/2211.03495 (2022) - 2021
- [i1]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 abs/2111.10139 (2021)
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