1 code implementation • 7 Feb 2024 • Gilles Baechler, Srinivas Sunkara, Maria Wang, Fedir Zubach, Hassan Mansoor, Vincent Etter, Victor Cărbune, Jason Lin, Jindong Chen, Abhanshu Sharma
At the heart of this mixture is a novel screen annotation task in which the model has to identify the type and location of UI elements.
Ranked #3 on Visual Question Answering (VQA) on InfographicVQA (using extra training data)
3 code implementations • 15 Jun 2023 • Stephen Casper, Jason Lin, Joe Kwon, Gatlen Culp, Dylan Hadfield-Menell
Using a pre-existing classifier does not allow for red-teaming to be tailored to the target model.
1 code implementation • 23 Jan 2023 • Adrià Recasens, Jason Lin, Joāo Carreira, Drew Jaegle, Luyu Wang, Jean-Baptiste Alayrac, Pauline Luc, Antoine Miech, Lucas Smaira, Ross Hemsley, Andrew Zisserman
Attention-based models are appealing for multimodal processing because inputs from multiple modalities can be concatenated and fed to a single backbone network - thus requiring very little fusion engineering.
1 code implementation • 14 Jun 2018 • Ángel Alexander Cabrera, Fred Hohman, Jason Lin, Duen Horng Chau
We present an interactive system enabling users to manipulate images to explore the robustness and sensitivity of deep learning image classifiers.