Ankur Bapna
Google (United States)(US)
Publications by Year
Research Areas
Natural Language Processing Techniques, Topic Modeling, Speech Recognition and Synthesis, Multimodal Machine Learning Applications, Speech and Audio Processing
Most-Cited Works
- → GPipe: Efficient Training of Giant Neural Networks using Pipeline\n Parallelism(2018)880 cited
- → Simple, Scalable Adaptation for Neural Machine Translation(2019)304 cited
- → Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges(2019)297 cited
- → Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling(2019)183 cited
- → Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets(2022)163 cited
- → Building a Conversational Agent Overnight with Dialogue Self-Play(2018)161 cited
- → Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model(2019)158 cited
- → Training Deeper Neural Machine Translation Models with Transparent Attention(2018)144 cited
- → FLEURS: FEW-Shot Learning Evaluation of Universal Representations of Speech(2023)138 cited