Philip Bachman
Philip Bachman publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering, on topics such as Topic Modeling, Natural Language Processing Techniques and Reinforcement Learning in Robotics.
- World rank
- #405,728 of 1,633,909 ranked researchers
- Rank in United Kingdom
- #34,971 of 90,785
- Works
- 15
- Citations
- 232
- Citations per work
- 15.5
What does Philip Bachman research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence71% of their works
- 2Computer Vision and Pattern Recognition21% of their works
- 3Control and Systems Engineering4% of their works
- 4Statistical and Nonlinear Physics4% of their works
Research topics
Which keywords describe Philip Bachman's research?
The keywords of their largest research topics: Neural Networks, Deep Learning, Machine Translation, Semi-Supervised Learning, Word Representation, Machine Learning, Neural Machine Translation and Reinforcement Learning.
- Robustness
- Adversarial Examples
- Visual Question Answering
- Image Captioning
- Domain Adaptation
- Statistical Machine Translation
- Reinforcement Learning
- Machine Learning
- Semi-Supervised Learning
- Deep Learning
- Neural Networks
- Machine Translation
- Word Representation
- Neural Machine Translation
- Robotics
- Active Learning
- Gaussian Processes
- Transfer Learning
- Acoustic Modeling
- Deep Neural Networks
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 20 words, with their numbers
- Neural Networks104 topics
- Deep Learning84 topics
- Machine Translation41 topic
- Semi-Supervised Learning42 topics
- Word Representation41 topic
- Machine Learning32 topics
- Neural Machine Translation31 topic
- Reinforcement Learning31 topic
- Robotics31 topic
- Statistical Machine Translation31 topic
- Active Learning21 topic
- Domain Adaptation21 topic
- Gaussian Processes21 topic
- Image Captioning21 topic
- Transfer Learning21 topic
- Visual Question Answering21 topic
- Acoustic Modeling11 topic
- Adversarial Examples11 topic
- Deep Neural Networks11 topic
- Robustness11 topic
Where does Philip Bachman work?
Philip Bachman's main affiliation in the publication record is Microsoft Research (United Kingdom), United Kingdom.
How many publications and citations does Philip Bachman have?
Science Explorer counts 15 works and 232 citations for Philip Bachman, ranking #405,728 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.