Day 1 NeurIPS 2019 Trip @ Vancouver Convention Center, Canada
To read about my Day 0 NeurIPS 2019 Trip https://firstname.lastname@example.org/day-1-neurips-2019-trip-vancouver-canada-27e02830ffcc
The tutorial day started at 7 am. I was a bit late so rushed to Convention Center, on my way stopped at JJ Bean cafe(the same cafe where I went on Day -4) and got one hot chocolate medium to go and entered convention center around 8.10 am.
The Tutorial started at 8.30 am on “Human Behaviour Modeling with Machine Learning: Opportunities and Challenges” by two inspiring personalities Nuria from Microsoft and Albert from Utrecht University. The talk was about proposed taxonomy to understand, model and predict both individual, dyadic and aggregate human behaviour from a variety of data sources and using ML techniques.
After the session, I had coffee and waited for the next session. At 11.15 am i attended a session on “Machine Learning for Computational Biology and Health” by Anna and Barbara.
Anna, works on developing machine learning methods that capture heterogeneity and identify disease mechanisms in complex human diseases as well as developing risk prediction and early warning clinical systems, Barbara develops statistical models and methods for the analysis of high-dimensional biomedical data, with a goal of understanding the underlying biological mechanisms and dynamics of complex phenotypes and human diseases.
They talked more about biomedical and its application from DNA, RNA, Transformers and more. They also showed applications and challenges on Biomedical research on AI. This area is what I am interested in and it was helpful for me to attend this session.
Session ended at 1.15 pm and I went to eastside convention center, where WiML meet was going on and had lunch over there. Then went to splunk booth looking for someone who can help me on career guidance, but couldn’t find anyone that matched my interests. .
I was looking around various poster sessions and this one poster caught my attention, it was on Retinopathy image classification using Squeezenet by Mei Chen. I stopped by her and discussed with her about the techniques she applied and I told my idea towards using GAN for addressing highly biased dataset.
She got interested in the idea and we got connected through linkedin to keep in touch.
Then I went to the main expo room and talked with a few people from Google, Math Works and Lambda about their work.
Around 6 PM started walking back towards the hotel and on my way back saw Tesla cars in the Tesla showroom in Robson street, then got nice Indian food Naan and Dal curry from Curry Fusion Indian Cuisine located at Robson street and reached hotel by 7 PM.