VAuLT: Augmenting the Vision-and-Language Transformer with the Propagation of Deep Language Representations
By Georgios Chochlakis, Tejas Srinivasan, Jesse Thomason, Shrikanth S. Narayanan. 2022
12 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Leticia Pinto-Alva
- Mohammad Rostami
- Tejas Srinivasan
- Georgios Chochlakis
- Jesse Thomason
- Ting-Yun Chang
In Computer Vision and Pattern Recognition
- Leticia Pinto-Alva
- Mohammad Rostami
- Tejas Srinivasan
- Georgios Chochlakis
- Jesse Thomason
- Ting-Yun Chang
Citations in the corpus
- CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks (2022, methodology): “We additionally experiment with a VAuLT [Chochlakis et al., 2022] model that extracts language representations from a pre-trained, frozen BERT [Devlin et al.”