Connor Shorten

@CShorten30

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

Florida Atlantic University
youtube.com/channel/UCHB9V…
Vrijeme pridruživanja: ožujak 2017.
148 fotografija ili videozapisa Fotografije i videozapisi

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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!"

    61 proslijeđeni tweet 277 korisnika označava da im se sviđa
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  2. proslijedio/la je Tweet
    prije 12 sati

    Fixmatch: code for training on Imagenet dataset is released and available here: by Kihyuk Sohn Nicholas Carlini

    67 proslijeđenih tweetova 204 korisnika označavaju da im se sviđa
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  3. proslijedio/la je Tweet
    prije 13 sati

    I just realized that I missed another category of curriculum learning methods, so I added it in. Now the overview figure looks like this:

    1 reply 8 proslijeđenih tweetova 40 korisnika označava da im se sviđa
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  4. proslijedio/la je Tweet
    prije 19 sati

    This video explores Teacher-Student Curriculum Learning! Interestingly, the Teacher is rewarded for the Student's progress on Sub-Tasks rather than solely optimizing for progress on the hardest task, Intrinsic Motivation!

    12 proslijeđenih tweetova 71 korisnik označava da mu se sviđa
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  5. prije 19 sati

    This video explores Teacher-Student Curriculum Learning! Interestingly, the Teacher is rewarded for the Student's progress on Sub-Tasks rather than solely optimizing for progress on the hardest task, Intrinsic Motivation!

    12 proslijeđenih tweetova 71 korisnik označava da mu se sviđa
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  6. proslijedio/la je Tweet
    4. velj

    This video explores "Learning to Execute" using Sequence-to-Sequence LSTMs to predict the output of a Python program without running the code! I was really interested in this paper because of their exploration into Curriculum Learning!

    1 reply 14 proslijeđenih tweetova 42 korisnika označavaju da im se sviđa
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  7. 4. velj

    This video explores "Learning to Execute" using Sequence-to-Sequence LSTMs to predict the output of a Python program without running the code! I was really interested in this paper because of their exploration into Curriculum Learning!

    1 reply 14 proslijeđenih tweetova 42 korisnika označavaju da im se sviđa
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  8. proslijedio/la je Tweet
    3. velj

    AI Weekly update for February 3rd, 2020! This update covers Google AI's Meena Chatbot, Microsoft's ImageBERT, blog posts on Curriculum Learning in RL and Contrastive Self-Supervised Learning, and more!

    1 reply 8 proslijeđenih tweetova 40 korisnika označava da im se sviđa
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  9. 3. velj

    AI Weekly update for February 3rd, 2020! This update covers Google AI's Meena Chatbot, Microsoft's ImageBERT, blog posts on Curriculum Learning in RL and Contrastive Self-Supervised Learning, and more!

    1 reply 8 proslijeđenih tweetova 40 korisnika označava da im se sviđa
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  10. 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.

    84 proslijeđena tweeta 348 korisnika označava da im se sviđa
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  11. 31. sij

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

    27 proslijeđenih tweetova 201 korisnik označava da mu se sviđa
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  12. proslijedio/la je Tweet
    31. sij

    A well done video explanation of FixMatch, thanks !

    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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    1 reply 3 proslijeđena tweeta 17 korisnika označava da im se sviđa
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  13. 30. sij

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

    Highly recommend watching this 8-minute video on & the paper, with details not included the blog such as SSA vs humanlikeness correlation, sample-and-rank, removing cross-turn repetition. (Blog: )
    1 proslijeđeni tweet 17 korisnika označava da im se sviđa
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  14. 29. sij

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

    A great paper deserves a great review video, and is in fine form here. Lots to interest folk, regardless of interest in . Come for the "Hayvard" joke, stay for the awesome power of BPE and the evolved transformer architecture.
    3 korisnika označavaju da im se sviđa
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  15. 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!"

    61 proslijeđeni tweet 277 korisnika označava da im se sviđa
    Poništi
  16. 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!

    10 proslijeđenih tweetova 62 korisnika označavaju da im se sviđa
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  17. 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 :)

    1 reply 1 proslijeđeni tweet 8 korisnika označava da im se sviđa
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  18. 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:

    i
    28 replies 629 proslijeđenih tweetova 1.787 korisnika označava da im se sviđa
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  19. 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!

    6 replies 84 proslijeđena tweeta 315 korisnika označava da im se sviđa
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  20. proslijedio/la je Tweet
    28. sij

    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:

    53 proslijeđena tweeta 288 korisnika označava da im se sviđa
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