Nelson Correa

@nelscorrea

Data scientist and machine learning developer. Natural language processing, software development, intellectual property, running. All views expressed are my own

West Palm Beach, FL
Vrijeme pridruživanja: studeni 2009.

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  1. proslijedio/la je Tweet
    2. velj
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    2. velj

    "Giving BERT a calculator" Big step in adding computational abilities to language models. Still no understanding but can certainly start to fool you. What happens if you "give BERT" thousand other similar abilities? cc

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  3. 2. velj

    Training latest deep learning models: that’s 2.6 billion parameters of Meena. Wow indeed.

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    1. velj

    A great way to realise the sheer quantity of information our 🧠 seamlessly processes when we do a “simple” task like driving a car. This is what the Tesla autopilot sees using a neural network which took 70,000 GPU hours to train. ht

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  5. 2. velj

    Recent work on explainable AI: Adversarial AI may help here, to challenge the XAI explanations. - Why asking an AI to explain itself can make things worse

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    2. velj

    ¿Que tienen en comun las palabras whistleblower, accountabiity y trade-off? Que no existen en español. Mi columna de esta semana es sobre las palabras que nos faltan en español y las que nos sobran. Y lo que esto revela...

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  8. proslijedio/la je Tweet
    24. pro 2019.

    Now that everyone is again into logic/symbols/reasoning vs deep/learning, I'd like to repost my C&T talk: 📽️ I discuss: - some history of this false dilemma in AI - logic and pure learning are *both* brittle - probabilistic world models as middle ground

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    The Union Jack is removed from the European Council building in Brussels. Britain leaves the European Union at 11pm this evening.

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  10. proslijedio/la je Tweet
    30. sij

    Pandas 1.0 is here! * Read the release notes: * Read the blogpost reflecting on what 1.0 means to our project: * Install with conda / PyPI: Thanks to our 300+ contributors to this release.

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  11. 30. sij

    Pipelining Backpropagation: Sideways training of deep convolutional video networks ... still converges, but can also potentially exhibit better generalization compared to standard synchronized backpropagation. ⁦

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  12. 30. sij

    “Ubiquitous mass surveillance is increasingly the norm. ... In countries like the United States, it’s being built by corporations in order to influence our buying behavior, and is incidentally used by the government.”

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  13. 29. sij

    How to encode values or principles in artificial agents, so that they reliably do what they ought to do ..., and “what values or principles it would be right to encode in AI.” - Artificial Intelligence, Values and Alignment | ⁦

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  14. proslijedio/la je Tweet
    15. sij

    Introducing the Big Bad Database. Helping NLP and ML developers gain access to nearly 200 datasets for natural language processing. Read about it on .

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    25. sij

    Reasons Why Online Advertising is Broken: - illusion of consent - intrusive tracking & profiling - massive breach of security - no transparency - potential for discrimination - broken by design & by default - responsible for rise of clickbait

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  16. 25. sij

    Behavioural Advertising 101 - Karolina Iwańska - Medium

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  17. 25. sij
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  18. 23. sij

    Excited for concert of Jordi Savall and Hesperion XXI, Friday, February 7, 2020,

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  19. 22. sij

    A.I. breakthroughs in natural-language processing are big for business - Super overview of the brief history of Transformers, muppetware and their impact on NLP and machine intelligence, ⁦⁩ by ⁦

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  20. 22. sij

    Is the End of Supervised Parsing in Sight, by ⁦⁩ “the advent of deep contextualized word embeddings ..., suggesting that specialized parsing algorithms are largely superfluous in the state-of-the-art systems of today.”

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