Florian Bordes

RESEARCH SCIENTIST | MONTREAL, CANADA

Florian Bordes is a Research Scientist at FAIR in Montreal. He is working on Society & Responsible AI. His research focuses on finding ways to train vision and vision-language models more efficiently and responsibly. He is also interested in designing more robust and reliable evaluation methods. Previously, he earned his PhD at Université de Montréal, Mila where he investigated fine-grained evaluation methods for better understanding of deep neural network representations.

Google Scholar

Research Areas

Computer Vision

Core Machine Learning

Florian's Work

High Fidelity Visualization of What Your Self-Supervised Representation Knows About

The Hidden Uniform Cluster Prior in Self-Supervised Learning

Photorealistic Unreal Graphics (PUG)

Florian's Publications

December 11, 2024

COMPUTER VISION

Measuring Deja Vu Memorization Efficiently

Narine Kokhlikyan, Bargav Jayaraman, Florian Bordes, Chuan Guo, Kamalika Chaudhuri

December 11, 2024

Read the Paper

June 05, 2024

CORE MACHINE LEARNING

An Introduction to Vision-Language Modeling

Florian Bordes, Richard Pang, Anurag Ajay, Alexander C. Li, Adrien Bardes, Suzanne Petryk, Oscar Mañas, Zhiqiu Lin, Anas Mahmoud, Bargav Jayaraman, Mark Ibrahim, Melissa Hall, Yunyang Xiong, Jonathan Lebensold, Candace Ross, Srihari Jayakumar, Chuan Guo, Diane Bouchacourt, Haider Al-Tahan, Karthik Padthe, Vasu Sharma, Hu Xu, Ellen Tan, Megan Richards, Samuel Lavoie, Pietro Astolfi, Reyhane Askari, Jun Chen, Kushal Tirumala, Rim Assouel, Mazda Moayeri, Arjang Talattof, Kamalika Chaudhuri, Zechun Liu, Xilun Chen, Quentin Garrido, Karen Ullrich, Aishwarya Agrawal, Kate Saenko, Asli Celikyilmaz, Vikas Chandra