Alexei Baevski
Alexei Baevski publishes mostly in Artificial Intelligence, on topics such as Natural Language Processing Techniques, Speech Recognition and Synthesis and Topic Modeling.
- World rank
- #285,014 of 1,633,909 ranked researchers
- Rank in Israel
- #2,328 of 8,450
- Works
- 16
- Citations
- 205
- Citations per work
- 12.8
What does Alexei Baevski research?
- 1Artificial Intelligence100% of their works
Research topics
Which keywords describe Alexei Baevski's research?
The keywords of their largest research topics: Acoustic Modeling, Deep Neural Networks, Neural Machine Translation, Neural Networks, Statistical Machine Translation, Machine Translation, Word Representation and Backpropagation Learning.
- Self-Organizing Maps
- Neuromorphic Photonics
- Feedforward Networks
- Backpropagation Learning
- Machine Translation
- Neural Networks
- Deep Neural Networks
- Acoustic Modeling
- Neural Machine Translation
- Statistical Machine Translation
- Word Representation
- Extreme Learning Machine
- Markov Decision Processes
- Photonic Reservoir Computing
- Spoken Dialogue Systems
Size is their works in the topics tagged with each word, from their 7 largest topics. Each links to the topic it comes from most.
All 15 words, with their numbers
- Acoustic Modeling51 topic
- Deep Neural Networks51 topic
- Neural Machine Translation51 topic
- Neural Networks53 topics
- Statistical Machine Translation51 topic
- Machine Translation31 topic
- Word Representation31 topic
- Backpropagation Learning11 topic
- Extreme Learning Machine11 topic
- Feedforward Networks11 topic
- Markov Decision Processes11 topic
- Neuromorphic Photonics11 topic
- Photonic Reservoir Computing11 topic
- Self-Organizing Maps11 topic
- Spoken Dialogue Systems11 topic
Where does Alexei Baevski work?
Alexei Baevski's main affiliation in the publication record is Meta (Israel), Israel.
How many publications and citations does Alexei Baevski have?
Science Explorer counts 16 works and 205 citations for Alexei Baevski, ranking #285,014 of 1,633,909 researchers worldwide on the composite score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.