Connor Shorten

@CShorten30

Check out my Deep Learning YouTube Channel! (link below)

Florida Atlantic University
Vrijeme pridruživanja: ožujak 2017.

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  1. Prikvačeni tweet
    29. sij

    This video explains 's amazing new Meena chatbot! An Evolved Transformer with 2.6B parameters on 341 GB / 40B words of conversation data to achieves remarkable chatbot performance! "Horses go to Hayvard!"

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  2. proslijedio/la je Tweet
    1. velj

    Curriculum for Reinforcement Learning "Learning is probably the best superpower we humans have." explores four types of curricula that have been used to help RL models learn to solve complicated tasks.

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  3. 31. sij

    I highly recommend checking out the lecture series from "Full Stack Deep Learning" on YouTube

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  4. proslijedio/la je Tweet
    31. sij

    A well done video explanation of FixMatch, thanks !

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  5. 30. sij

    Thank you for sharing!! Great work on this paper!

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  6. 29. sij

    Thank you!! Really enjoyed reading this paper! The relationship between BPE and the Hayvard joke is amazing!

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  7. proslijedio/la je Tweet
    29. sij

    This video explains 's amazing new Meena chatbot! An Evolved Transformer with 2.6B parameters on 341 GB / 40B words of conversation data to achieves remarkable chatbot performance! "Horses go to Hayvard!"

    Poništi
  8. 29. sij

    This video covers the Evolved Transformer used in the mind-blowing Meena chatbot from ! This video explains the details of how they encode Transformers for automated architecture search!

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  9. proslijedio/la je Tweet
    29. sij

    Had to do a double take when I realized featured my blog post in his latest video, what a nice start of the day :)

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  10. proslijedio/la je Tweet
    28. sij

    New paper: Towards a Human-like Open-Domain Chatbot. Key takeaways: 1. "Perplexity is all a chatbot needs" ;) 2. We're getting closer to a high-quality chatbot that can chat about anything Paper: Blog:

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  11. proslijedio/la je Tweet
    28. sij

    Open-domain conversation is an extremely difficult task for ML systems. Meena is a research effort at in this area. It's challenging, but we are making progress towards more fluent and sensible conversations. Nice work, Daniel, & everyone involved!

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  12. proslijedio/la je Tweet

    seq2seq still delivers : ) Incredible how far we've gotten in ~5 years of progress in neural conversational models, with relatively small changes. More exciting is that there's still LOTS to be done! Paper: Blog:

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  13. proslijedio/la je Tweet
    28. sij

    Check out Meena, a new state-of-the-art open-domain conversational agent, released along with a new evaluation metric, the Sensibleness and Specificity Average, which captures basic, but important attributes for normal conversation. Learn more below!

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  14. proslijedio/la je Tweet

    AI Weekly Update - January 27th, 2020 by (#14)

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  15. proslijedio/la je Tweet
    27. sij

    14th Edition of AI Weekly Update! Happy to get back to this after a 2 month break! Covering Point-Goal navigation in AI-Habitat from FAIR, FixMatch for Semi-Supervised Learning, OpenAI's study on scaling language models and more!

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  16. 27. sij

    14th Edition of AI Weekly Update! Happy to get back to this after a 2 month break! Covering Point-Goal navigation in AI-Habitat from FAIR, FixMatch for Semi-Supervised Learning, OpenAI's study on scaling language models and more!

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  17. proslijedio/la je Tweet
    26. sij
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  18. proslijedio/la je Tweet
    25. sij

    [VIDEO] for my guest lecture at is now available. "Lessons learned from building practical DL systems"

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  19. proslijedio/la je Tweet
    23. sij

    This video explains FixMatch, a new Semi-Supervised Learning algorithm from !! FixMatch enforces consistent predictions through Data Augmentation and Pseudo-Labeling to achieve remarkable success with limited labeled data!

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  20. 23. sij

    I really enjoyed reading this paper! Great work!

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