Bahri, Dara
Google (United States)
9 papers on CoChatORCID 0000-0003-0144-2911
Most cited papers
- Verified
Efficient transformers: A survey
Tay, Y., Dehghani, M., Bahri, D., & Metzler, D. (2023) · ACM Computing Surveys
Topic ModelingAdvanced Neural Network Applications
Cited by 1,267
- Verified
Efficient Transformers: A Survey
Tay, Y., Dehghani, M., Bahri, D., & Metzler, D. (2020) · arXiv
Topic ModelingAdvanced Neural Network Applications
Cited by 1,267
- Verified
Synthesizer: Rethinking Self-Attention in Transformer Models
Tay, Y., Bahri, D., Metzler, D., Juan, D.-C., Zhao, Z., & Zheng, C. (2020) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 251
- Verified
Long Range Arena: A Benchmark for Efficient Transformers
Tay, Y., Dehghani, M., Abnar, S., Shen, Y., Bahri, D., Pham, P., Rao, J., Yang, L., Ruder, S., & Metzler, D. (2020) · arXiv
Topic ModelingAdvanced Neural Network Applications
Cited by 241
- Verified
Transformer Memory as a Differentiable Search Index
Tay, Y., Tran, V., Dehghani, M., Ni, J., Bahri, D., Mehta, H., Qin, Z., Hui, K., Zhao, Z., Gupta, J., et al. (2022) · Advances in Neural Information Processing Systems 35
Topic ModelingInformation Retrieval and Search Behavior
Cited by 128
- Verified
Rethinking search: making domain experts out of dilettantes
Metzler, D., Tay, Y., Bahri, D., & Najork, M. (2021) · ACM SIGIR Forum
Information Retrieval and Search BehaviorTopic Modeling
Cited by 112
- Verified
Charformer: Fast Character Transformers via Gradient-based Subword Tokenization
Tay, Y., Tran, V. Q., Ruder, S., Gupta, J., Chung, H. W., Bahri, D., Qin, Z., Baumgartner, S., Yu, C., & Metzler, D. (2021) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 92
- Verified
Confident adaptive language modeling
Schuster, T., Fisch, A., Gupta, J., Dehghani, M., Bahri, D., Tran, V., Tay, Y., & Metzler, D. (2022) · Advances in Neural Information Processing Systems 35
Natural Language Processing TechniquesSpeech Recognition and Synthesis
Cited by 91
- Verified
StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling
Shen, Y., Tay, Y., Zheng, C., Bahri, D., Metzler, D., & Courville, A. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Natural Language Processing TechniquesTopic Modeling
Cited by 29
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