Google for Research
By Amanda Amy Harris Houk, B. Williams. 2012
125 citations recorded by the source corpus.
Subfields: Natural Language Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Natural Language Processing
- Tristan Thrush
- Douwe Kiela
- Nazneen Rajani
- Angelina McMillan-Major
- Gaurav Menghani
- Yacine Jernite
- Alexandra Sasha Luccioni
- Margaret Mitchell
Citations in the corpus
- Measuring Data (2022, background): “…which uses a series of “quality scores” to enable formalized and systematic data preparation (Jariwala et al., 2022); Google’s “Know Your Data" tool, created specifically for AI practitioners, has also helped shed light on the contents and characteristics of popular datasets (Google Research, 2021).”
- Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better (2021, background): “…: The decision about how to distribute the sparsity budget (number of parameters to be pruned), could be made either by pooling in all the parameters from the network and then deciding which parameters to prune, or by smartly selecting how much to prune in each layer individually [50, 74].”
- Visual Product Search Benchmark (2026, unknown): “In this study, we use the SigLIP2-SO-400M-Patch-14/384 variant [10].”