A little over a year ago, I wrote a 6000-word retrospective, A Year of MLC: Selfish Takes Only, reflecting on building ML Collective, the non-profit and non-traditional researchers community, for a full year.
It probably doesn’t surprise you that I write.
As my narrowness talk accumulated 10k views in 3 days, I feel like clarifying a few behind-the-scene facts.
In a year, I received and answered roughly two hundred emails from people of divergent walks of life, sharing a seemingly universal pain: finding it hard to “make it” in ML research.
A personal update: I am full time running ML Collective now.
This is a last email sent from rosanne@uber, on my last day, and the last day of Uber AI Labs, after 3.5 years.
I had a fun time chatting with Sara and Sean at their fantastic Underrated ML podcast.
Learn about PPLM in 5 mins!
I have a few speaking engagements coming up, including one that’s perhaps my favorite thing in the world—co-presenting with Jason!
Meet Wooly the mammoth! We’ve been experimenting ways to “steer” it with a mouse. Is it possible?
Hi! Earlier last week I gave a keynote talk at IEEE Green Energy and Smart Systems Conference.
Nothing to say. Except:
I was at Long Beach, CA for ICML / CVPR 2019, and, two things:
This June I gave a guest lecture at the Applied Deep Learning course organized by OpenAI and Weights & Biases.
A new blog post about our latest work, explaining and deconstructing The Lottery Ticket Hypothesis, is live!
Hi all! Happy International Women’s Day! I am very honored to be included in this 30 Under 30 Rising Starts in AI list, on this very special day.
We had three work presented at NeurIPS this year.
I organized the Deep Learning and Deep Learning Infrastructure track for the 1st Uber Science Symposium.
I gave a talk at the Moving The World With Data event organized by our own Women in Statistics, Data, Optimization and Machine Learning (WiSDOM) employee resource group at Uber.
So we made a 8-min video describing our newest research; it is released right before ICML 2018.