We are very happy to be part of the Montreal AI Symposium again this year! Come see @hixjiang and Mohammad Havaei's talk on "Learning to Learn with Conditional Class Dependencies". We'll also have a booth at the cocktail session, come say hi! Montreal AI Symposium

Yoshua Bengio: Mathematical formulas should not be patantable. #MAIS2018

Interesting talk from @hixjiang at #MAIS2018 presenting some of our recent work at Imagia

Together with Pulkit Khandelwal , @liqiang32684556 and Andrew Jesson presenting our work at Imagia and McGill University on Domain generalization for medical imaging. Special thanks to Tess for helping out with the poster. #MAIS2018 Montreal AI Symposium

We release the slides for our talk Montreal AI Symposium with Mohammad Havaei "Learning to Learn with Conditional Class Dependencies". Please feel free to comment in the slides if you have any questions. docs.google.com/presentation/d… #MAIS2018

Tanya presenting her awesome work on Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation at #MICCAI2018

We are proud to partner with Optina Diagnostics to develop retinal biomarkers for #Alzheimers, by leveraging spectral retinal images with #DeepLearning architectures. #Imagia #HealthcareAI Learn more: ow.ly/bjC730lSTL3

It's that time of year again. It's great to be at #NeurIPS2018 and chat with our friends at Borealis AI . Thanks to Eirene Seiradaki for the amazing t-shirts :-).

Thank you Intel AI, @MILAMontreal, IVADO, @IntegrateAI, Google, Imagia, Borealis AI, @element_ai for your contributions to the #NeurIPS2018 Workshop on AI for Social Good! You ensured many presenters and researchers could make it here and continue their good work.

Thanks to Vanier College for inviting me. The talk will be on 12th March from 11:30am to 1pm. Drop by if you were in the neighborhood 😉

We’re not that special 🙉

It's simple: innovation cannot come at the expense of privacy. We must have both in order to build a truly inclusive and innovative society. This is my take on why we need the #DigitalCharter, and how to build a foundation of trust in our data-driven world qoo.ly/xj7vh

Nous sommes fiers de remettre le Prix d'excellence 2019 du FRQ - secteur Nature et technologies ex-aequo à Yoshua Bengio Université de Montréal DIRO UMontréal et à Louis Taillefer @Usherbrooke @IQ_Usherbrooke. Toutes nos félicitations! #JournéeFRQNT

The story of Maryam Mirzakhani’s life and mathematical work. The first woman and first Iranian to win the fields medal.

Our paper (w/ Qicheng Lao, Stan, Mohammad Havaei) Imagia @MILAMontreal "Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation" was accepted at #ICML2020 paper: arxiv.org/abs/2006.04996 code: github.com/xiangdal/impli… blog: sites.google.com/view/implicit-…

Very happy to be part of this paper, accepted at #aaai2021. A big Shout-out to the lead author Qicheng Lao , and Xiang. Very happy with this collaboration.

Unsupervised domain adaptation can replace the costly status quo of #ML algorithms. Our paper on this subject: ‘Hypothesis Disparity Regularized Mutual Information Maximization’ by Qicheng Lao, Mohammad Havaei, Xiang has been accepted in AAAI 2021 👉 bit.ly/3swdVAu

a new article about Sci-Hub in nature: nature.com/articles/d4158… (nature is a paid-access academic journal popular among researchers)

🚨Deadline Extended🚨 Submit by April 17 for the CVPR Workshop on Ethical Considerations in Creative Applications of Computer Vision (EC3V). Discuss ethical & cross-cultural AI impacts with experts. #CVPR2024 CVPR News #EC3VWorkshop #CVPR23 #EthicsInAI #CreativeAI #DeadlineExtended