Nidhi Vyas

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Alan W BlackProfessor, Language Technologies Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Ayush PareekCarnegie Mellon UniversityVerified email at cs.cmu.edu
Yulia TsvetkovUniversity of WashingtonVerified email at cs.washington.edu
Keita KuritaCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Eduard HovyUniversity of Melbourne, CMUVerified email at andrew.cmu.edu
Shreyas SaxenaCerebras SystemsVerified email at cerebras.net
Thomas VoiceAppleVerified email at apple.com
David YarowskyProfessor of Computer Science, Johns Hopkins UniversityVerified email at jhu.edu
Teruko MitamuraResearch Professor of Language Technologies Institute, School of Computer Science, Carnegie MellonVerified email at cs.cmu.edu
Naoki OtaniResearch Scientist, Megagon LabsVerified email at cs.cmu.edu
Ruochen XuPrincipal Scientist at Om AIVerified email at hzlh.com
Aldrian Obaja MuisMaster of Language Technology student at Carnegie Mellon University (CMU)Verified email at cs.cmu.edu
Yiming YangProfessor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Winston WuUniversity of Hawaii at HiloVerified email at hawaii.edu
SaiKrishna RallabandiSenior Data Scientist, Fidelity InvestmentsVerified email at andrew.cmu.edu
Aditya SiddhantGoogleVerified email at google.com
Niket TandonPrincipal Researcher, Microsoft Research BangaloreVerified email at microsoft.com
Dheeraj RajagopalResearch ScientistVerified email at google.com
Jennifer MankoffUniversity of WashingtonVerified email at cs.washington.edu
Kirstin EarlyPh.D. student, Machine Learning, Carnegie Mellon UniversityVerified email at cs.cmu.edu

Nidhi Vyas

Google DeepMind

Verified email at google.com

Machine Learning Natural Language Processing Low Resource Domains Transfer Learning and Domain Adaptation


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Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023	2183	2023
Measuring Bias in Contextualized Word Representations K Kurita, N Vyas, A Pareek, AW Black, Y Tsvetkov arXiv preprint arXiv:1906.07337, 2019	536	2019
Learning soft labels via meta learning N Vyas, S Saxena, T Voice arXiv preprint arXiv:2009.09496, 2020	30	2020
Low-resource Cross-lingual Event Type Detection via Distant Supervision with Minimal Effort AO Muis, N Otani, N Vyas, R Xu, Y Yang, T Mitamura, E Hovy Proceedings of the 27th International Conference on Computational …, 2018	17	2018
Creating a Translation Matrix of the Bible’s Names Across 591 Languages W Wu, N Vyas, D Yarowsky Proceedings of the 11th International Conference on Language Resources and …, 2018	17	2018
The ARIEL-CMU Systems for LoReHLT18 A Chaudhary, S Dalmia, J Hu, X Li, A Matthews, A Obaja Muis, N Otani, ... https://arxiv.org/abs/1902.08899, 2019	10	2019
Domain Adaptation of SRL Systems for Biological Processes D Rajagopal, N Vyas, A Siddhant, A Rayasam, N Tandon, E Hovy Proceedings of the 2019 ACL Workshop on BioNLP, 2019	5	2019
Leaning Disentangled Representation In Latent Stochastic Models: A Case Study with Image Captioning N Vyas, SK Rallabandi, L Morishetti, E Hovy, AW Black Proceedings of the 44th International Conference on Acoustics, Speech, and …, 2019	5	2019
Fix your models by fixing your datasets A Sanyal, V Chatterji, N Vyas, B Epstein, N Demir, A Corletti arXiv preprint arXiv:2112.07844, 2021	4	2021
Understanding the needs of prospective tenants J Mankoff, D Onafuwa, K Early, N Vyas, V Kamath Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable …, 2018	3	2018
Training With Data Dependent Dynamic Learning Rates S Saxena, N Vyas, D DeCoste https://arxiv.org/abs/2105.13464, 2021	2	2021
Namesakes: Ambiguously Named Entities from Wikipedia and News O Vasilyev, A Altun, N Vyas, V Dharnidharka, E Lam, J Bohannon arXiv preprint arXiv:2111.11372, 2021		2021
Unsupervised Document Classification in Low-resource Languages for Emergency Situations N Vyas, E Hovy, D Rajagopal Proceedings of the 2019 ACL workshop on Typology for Polyglot NLP, 2019		2019
Improving Compositionality in Deep Module Networks for Visual Question Answering B Karki, L Morishetti, N Vyas, SK Rallabandi

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