Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Ann B. Lee"'
Because geostationary satellite (Geo) imagery provides a high temporal resolution window into tropical cyclone (TC) behavior, we investigate the viability of its application to short-term probabilistic forecasts of TC convective structure to subseque
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d62a253ed790bff577adb1c4ad570e9
http://arxiv.org/abs/2206.00067
http://arxiv.org/abs/2206.00067
Autor:
Vineel Pratap, Michael Auli, Ann B. Lee, Tatiana Likhomanenko, Gabriel Synnaeve, Alexei Baevski, Ronan Collobert, Anuroop Sriram, Qiantong Xu, Jacob Kahn, Wei-Ning Hsu
Publikováno v:
Interspeech 2021.
Self-supervised learning of speech representations has been a very active research area but most work is focused on a single domain such as read audio books for which there exist large quantities of labeled and unlabeled data. In this paper, we explo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c73d193fc72ccadb64227828a5d482e
https://doi.org/10.21437/interspeech.2021-236
https://doi.org/10.21437/interspeech.2021-236
Publikováno v:
Journal of Computational and Graphical Statistics. 28:481-492
Approximate Bayesian Computation (ABC) is typically used when the likelihood is either unavailable or intractable but where data can be simulated under different parameter settings using a forward model. Despite the recent interest in ABC, high-dimen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e6af61d610ab595bdc424038c94863a
https://doi.org/10.1080/10618600.2018.1546594
https://doi.org/10.1080/10618600.2018.1546594
Publikováno v:
ACL/IJCNLP (1)
Reranking models enable the integration of rich features to select a better output hypothesis within an n-best list or lattice. These models have a long history in NLP, and we revisit discriminative reranking for modern neural machine translation mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::730d2db1293d6c8d50fa07fb3abf04de
https://doi.org/10.18653/v1/2021.acl-long.563
https://doi.org/10.18653/v1/2021.acl-long.563
Autor:
Daniel Haziza, Changhan Wang, Morgane Riviere, Juan Pino, Anne Wu, Ann B. Lee, Mary Williamson, Chaitanya Talnikar, Emmanuel Dupoux
Publikováno v:
2021, ⟨10.18653/v1/2021.acl-long.80⟩
ACL/IJCNLP (1)
ACL 2021-59th Annual Meeting of the Association for Computational Linguistics
ACL 2021-59th Annual Meeting of the Association for Computational Linguistics, Aug 2021, Bangkok, Thailand
ACL/IJCNLP (1)
ACL 2021-59th Annual Meeting of the Association for Computational Linguistics
ACL 2021-59th Annual Meeting of the Association for Computational Linguistics, Aug 2021, Bangkok, Thailand
We introduce VoxPopuli, a large-scale multilingual corpus providing 100K hours of unlabelled speech data in 23 languages. It is the largest open data to date for unsupervised representation learning as well as semi-supervised learning. VoxPopuli also
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31dab65f924fddb10ab121a9ba5bccc4
Tropical cyclones (TCs) rank among the most costly natural disasters in the United States, and accurate forecasts of track and intensity are critical for emergency response. Intensity guidance has improved steadily but slowly, as processes which driv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a2b1920f0bc24df3261c5da5a86a3d8
http://arxiv.org/abs/1911.11089
http://arxiv.org/abs/1911.11089
Publikováno v:
INTERSPEECH
We propose a fully convolutional sequence-to-sequence encoder architecture with a simple and efficient decoder. Our model improves WER on LibriSpeech while being an order of magnitude more efficient than a strong RNN baseline. Key to our approach is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfb874dc8abccc2f6b14492f31576b38
https://doi.org/10.21437/interspeech.2019-2460
https://doi.org/10.21437/interspeech.2019-2460
Autor:
Jennifer T. Higa, Ann B. Lee, Joo Ha Hwang, Matthew M. Yeh, Alexander R. Ende, Sung Jo Bang, Anand Singla, Samantha D'Andrea, Kayla Gravelle, Stella G. Whang, Rodney A. Schmidt, Alyssa Y. Choi, Robert J. Huang
Publikováno v:
Gastrointestinal endoscopy. 91(1)
Gastric intestinal metaplasia (GIM) is an important precursor lesion to gastric cancer (GC), the second leading cause of cancer death worldwide. There exist few data regarding the prevalence of, risk factors for, and clinical practice patterns regard
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1d11028ba27faafb3523d79ef43503a
https://pubmed.ncbi.nlm.nih.gov/31865998
https://pubmed.ncbi.nlm.nih.gov/31865998
Autor:
Joachim Harnois-Déraps, Chien Hao Lin, Taylor Pospisil, Ann B. Lee, Rachel Mandelbaum, Tim Eifler, Sukhdeep Singh
Publikováno v:
Monthly Notices of the Royal Astronomical Society
We study the significance of non-Gaussianity in the likelihood of weak lensing shear two-point correlation functions, detecting significantly non-zero skewness and kurtosis in one-dimensional marginal distributions of shear two-point correlation func
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::935be32e1cc8eae5e5fa1a92e07bb9b1
Publikováno v:
ICASSP
We revisit self-training in the context of end-to-end speech recognition. We demonstrate that training with pseudo-labels can substantially improve the accuracy of a baseline model. Key to our approach are a strong baseline acoustic and language mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::437518d5624492323e9a8c9bdff054b2