Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality
Tristan Thrush, Ryan Jiang, Max Bartolo, Amanpreet Singh, Adina Williams, Douwe Kiela, Candace Ross
People
Douwe Kiela
Research Scientist
I have been a Research Scientist at Meta AI Research since 2016. Previously, I completed my PhD at the University of Cambridge, with a thesis on grounding natural language semantics in perceptual modalities. As an undergraduate, I studied philosophy and cognitive artificial intelligence. I also have a master’s degree in logic and an MPhil in advanced computer science. My primary research interests lie in natural language semantics and improving language understanding by taking advantage of additional resources.
Interests
Natural language processing, semantics, grounding, computer vision, deep learning and artificial general intelligence
Latest Publications
CVPR - 2022
FLAVA: A Foundational Language And Vision Alignment Model
Amanpreet Singh, Ronghang Hu, Vedanuj Goswami, Guillaume Couairon, Wojciech Galuba, Marcus Rohrbach, Douwe Kiela
Findings of the WOAH 5 Shared Task on Fine Grained Hateful Memes Detection
Lambert Mathias, Shaoliang Nie, Bertie Vidgen, Aida Davani, Zeerak Waseem, Douwe Kiela, Vinodkumar Prabhakaran
Findings of the WMT 2021 Shared Task on Large-Scale Multilingual Machine Translation
Guillaume Wenzek, Vishrav Chaudhary, Angela Fan, Sahir Gomez, Naman Goyal, Somya Jain, Douwe Kiela, Tristan Thrush, Francisco Guzmán
Gradient-based Adversarial Attacks against Text Transformers
Chuan Guo, Alexandre Sablayrolles, Hervé Jégou, Douwe Kiela
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study
Divyansh Kaushik, Douwe Kiela, Zachary C. Lipton, Wen-tau Yih