Earlier this month (Nov 2020) at the Samsung AI Forum 2020 I was one of the five recipients of the inaugural Samsung AI Researcher of the Year Award by the Samsung Advanced Institute of Technology (SAIT). Samsung has been supporting my research ever since I was a postdoc at Mila in Montreal, and without their support I wouldn’t have been able to support all my PhD students (NSF, i’m looking at you!) Because of this prolonged support, I had been already grateful to Samsung even before this award, and I am even more thankful. It was also a humbling experience
I am happy to share the news that Cristina Savin and I have been selected to receive the Google Faculty Research Award this year in the area of computational neuroscience with the topic on <Online Meta-Learning>. See https://research.google/outreach/past-programs/faculty-research-awards/ for the list of awardees.
The extended abstract version of <Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening> has received the best paper award at the AI for Social Good Workshop co-located with ICML’19 last week in Long Beach, CA. Congratulations to the first author Nan who is a PhD student at the NYU Center for Data Science, the project lead Krzysztof who is an assistant professor at NYU Radiology, and all the other members of this project!
Keunwoo Choi, George Fazekas, Mark Sandler and I have received the Best Paper Award at the 18th Annual International Society for Music Information Retrieval Conference (ISMIR). The paper is <Transfer Learning for Music Classification and Regression Tasks> which investigates different ways to exploit the knowledge captured within a deep convolutional network trained to tag a song for other relevant tasks. The main idea is to use not only the final hidden activation vector (as has been usual in computer vision) but to use the activations from all the layers, as some target tasks may require low-level details. Check it out
I’m happy to announce that I’ve been selected as a CIFAR Azrieli Global Scholar this year (announcement). This appointment is for two years, and I will be able to attend awesome CIFAR meetings to hang out with and hear from awesome CIFAR fellows. I am especially looking forward to meetings organized by the Learning in Brain and Machine (LMB) Programme of CIFAR co-directed by Yoshua Bengion and Yann LeCun, in addition to interacting with other Azrieli Global Scholars and a broader set of fellows from other programmes at CIFAR . It is my understanding that this is not intended to award my