Note: I wrote up my experience, thoughts, and conversations on the days when I received doses of vaccine, and when I reached statistical immunity. Nothing dramatic happened, but I wanted to have a contemporary account to look back on later.
Compared to others in the US, I was lucky to receive my first dose when I did. For other countries where access is still being negotiated and a new wave of infections is starting, the wait is still longer. I know this isn’t a great time to read about vaccinations. Sorry. For people who read this and feel that your…
In these first four months of 2021, a few researchers have used my language models or mentioned me in their papers. I feel encouraged and validated to be part of someone else’s work. Sharing models on HuggingFace made it possible for them to continue that work and extend it into new areas.
I’m confident that the next year of papers from researchers in their native languages will greatly surpass my 2020 work.
M. M. Rahman, M. Aktaruzzaman Pramanik, R. Sadik, M. Roy and P. Chakraborty
Compared Multilingual BERT and Bangla-Electra model on three news topic classification tasks: BARD, OSBC, and…
I’m working through the books which I’ve been carrying across the country over the past several months. Soon I’m moving to Colorado and getting my second dose of vaccine. Though COVID has not disappeared here or elsewhere in the world, I’m retiring the title “Pandemic Reads”. Hopefully I can make reading and recommending books a more regular part of my life.
What do I think about reviewing 19 books during a pandemic year? I feel like a determined reader could read two or three books in a month and be very thoughtful on GoodReads. So I under-developed this; I watched…
Facebook recently published “Casual Conversations”- 45,000 short videos with paid actors as a new benchmark with diversity along speakers’ age, gender, and skin color (Facebook classifies these speakers on the Fitzpatrick scale rather than race and ethnicity).
While downloading I was listening to a NewNaratif podcast about hijab rules in Singapore, and wondered whether Facebook included any hijab-wearing women in a diversity dataset. To make the question applicable to a wider audience, my research question is: how many speakers in the dataset wore a hat or head covering? What types are included in the dataset? …
Arizona opened COVID vaccine registration at their state-run facilities to all adults as of March 24th. By the end of the day, all major locations available in Maricopa County (which includes Phoenix) had updated their websites, too.
I searched for vaccines at CVS, Walgreens, Safeway, and Fry’s Food and Drug. A particular wrinkle to my schedule was that I am moving, so I’m looking for either the J&J one-dose vaccine, a second dose by April 17th, or a second dose in Colorado (which will be open for all adults in mid-April).
I was skimming through Twitter and an unrelated post about keras-tuner got me thinking, should we use hyperparameter tuning for ML fairness? And why was my immediate reaction so negative?
I don’t intend to resolve it here, but think arguments could be made for either side, making it good for an ML interview question.
I’ve delayed this post for a long time because Separate and my next Supreme Court read are each over 500 pages. I need to set goals for daily reading. What works for you?
You may remember Plessy v. Ferguson as the “separate but equal” case which was overturned by Brown v. Board of Education (and years of work by Black activists, and the Civil Rights Act of 1964). But I knew nothing about Plessy the person, where he came from, when the ruling happened, and how the Supreme Court case played out. …
In my October post, I didn’t even mention vaccines and asked if I believed my family could stay covid-free for another year. One older relative had asked if she would ever see the world go back to normal. Within a few weeks, Moderna and Pfizer trials proved >90% effective (much much better than expected). By the end of the year, we were discussing if…
I’m way behind on reading books for reviews, but here are some TV options:
In May 2020, I posted a project where I used spaCy and BERT to “flip” gender in Spanish sentences (un profesor viejo <-> una profesora vieja). This was useful to evaluate models’ biases or augment training data, but it was slow and dependent on hardcoded variables in my script. At the time, I suggested the next step would be using a neural network model (seq2seq) often used to translate or summarize the text.
In addition to bias and data, I’ve collected more reasons to use counterfactuals in any language:
Nomadic web developer and mapmaker.