Meaning and compositionality as statistical induction of categories and constraints
By Lauren Schmidt. 2009
29 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Yu-Xiong Wang
- Martial Hebert
- Han-Jia Ye
- Ross B. Girshick
- Abhinav Kumar Gupta
- Bharath Hariharan
- Trevor Darrell
- Sergey Levine
Citations in the corpus
- On First-Order Meta-Learning Algorithms (2018, background): “[17, 15] showed that human subjects can recognize new object categories based on a few example images.”
- Low-Shot Learning from Imaginary Data (2018, background): “It is also unlike the human visual system, which can learn a novel visual concept from even a single example [28].”
- Low-shot visual object recognition (2016, background): “We are able to do this not only for natural object categories such as different kinds of animals, but also for synthetic objects that are unlike anything we’ve seen before [34].”
- Low-Shot Visual Recognition by Shrinking and Hallucinating Features (2016, background): “We are able to do this not only for natural object categories such as different kinds of animals, but also for synthetic objects that are unlike anything we’ve seen before [37].”