
Hector Yee
@eigenhector
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Absurdist humor, AI stuff, recsys, machine learning, mythology, meditation. Tech Emmy & book author. eigenhector on bsky and subst4ck
Joined January 2014
I'm 44. I co-led Google image search quality. I have a MS in architectural science (graphics). Lots of papers including ICLR , technical Emmy, stars on github, dozens of patents etc and I still get asked to write code that runs in Python in interviews. *Shrug*.
I am 35. I co-lead the search engine in NL+BE's biggest e-commerce platform. I have a MS+PhD in CS. Starred in GitHub projects, blog posts, confs/meetups. But I still need to deliver a silly amount of algorithm & data structure puzzles in job interviews. 👈 #WrongDecisionsInLife.
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Today is my last day @GoogleAI for the third time. This time round worked on VR, had a nature digital healthcare paper and did deep learning on medical records and signals. Going off to do startup entrepreneurial stuff next.
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I'm really loving the machine learning infrastructure that @DeepMind develops. I like the interface for Sonnet for Tensorflow 2.0 and other infrastructure that they made available for use internally. Very usable and researcher friendly.
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Colab, numpy and Jax are amazingly pleasant and fast to do @Peter_shirley 's . I still haven't vectorized some parts with Jax and dealing with conditionals and the jit but the interactivity of colab makes it fun. Extra challenge making it functional
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At the joint workshop on AI and health everyone seems to be using rnns and lstms but no simple baseline :/ #ICML2018 don't know if they realize that linear models can do really well.
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Huh someone just pointed out to me that imagenet was scraped from Google image search which was already ranked using models I had built a long time ago so that makes the images selected kinda biased to work with several generations of machine learning already. #generalization.
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Finally made a decision. Gonna work on organic Brains with @stardazed0 starting next week! It's a nice juicy project. mmmm brains
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Twitter seems better for #AI networking than LinkedIn! I mostly get recruiters on LinkedIn and a lot more interesting pointers to new papers, ideas and connections on Twitter related to the fields I am interested in. #AI #healthcare #EHR #DeepLearning.
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Can you believe it . uint16 is soon not going to be able to cover the average US daily case rate. Overflowing uint16.
Our daily update is published. States reported 63k new cases, about the same number as last Tuesday. They also recorded more than 1,000 deaths for the first time since May 29th. Today’s number of currently hospitalized (59k) COVID-19 patients is the third-highest in our data.
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Our Nature digital paper on "Scalable and accurate deep learning with electronic health records" is finally published. My first #healthcare and #AI paper! My contribution was the modelling work, specifically one of the models, interpretable boosting.
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@quantumVerd @ChrSzegedy One day we might discover that gamma ray bursts are aliens mining for their bitcoin.
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My colleagues were working on this for a while, glad to see it finally pay off!.
Today, in collaboration with the @Harvard Lichtman Laboratory, we're releasing a novel resource to study the human brain — an imaging dataset covering a cubic mm of cortical tissue with traces of tens of thousands of neurons and 130M annotated synapses.
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Samy was the one who first taught me machine learning and my first collaborator in the field. He's a super nice mentor and researcher.
Samy Bengio has stood by all of us in Brain Research, and it’s meant so much. Particularly for all the women who speak up. We started to call it “Samyland”, a safe space for the underrepresented and overlooked.
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Reminds me of the time a journalist called TFIDF (word frequency counting) AI. My twitter handle is a pun on eigenvector by the way. Eigenvector decomposition is something they teach in high school in Singapore in the very first linear algebra course in grade 11. .
Stitch Fix is using something called eigenvector decomposition, a concept from quantum mechanics, to tease apart the overlapping “notes” in an individual’s style. Using physics, the team can better understand the complexities of the clients’ style minds.
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Strangely one way I tend to pick projects is to find roles I am underqualified for so that I can grow while in the role. It's at the edge of the explore / exploit trade-off. Find something that exploits your current skills but also lets you explore new ones!.
The discourse about impostor syndrome bothers me, because it IS POSSIBLE to be underqualified for a role or responsibility. I've had multiple experiences of attempting to raise to a supervisor "Hey, I'm not doing well at this" only to be told I was doing fine. This sucked!.
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I am a not PhD who did well in ML. Did a 2 year MS because I knew I was going to go to industry (in graphics).
One odd job I do is help some companies by reviewing their AI job reqs. One of the common mistakes I notice HR/hiring managers make in hiring deep learning talent is to put “PhD preferred” in product AI research job req. This goes wrong in so many ways:.
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