Friday, May 20, 2022

5/20/22: Readings; also, we will skip the next two Friday meeting times

  Agenda & Minutes

  • Welcome to the 17th meeting.
  • Any updates/news/inputs/comments?
    • Next two weeks: this group will not meet.
    • JS's ML study group: many people did not get the email DB sent to ifsc-gradstudents@ualr.edu, so JS will contact Dr. P. to get his message out more effectively.
    • VK's paper was presented this morning in Minnesota!
  • Readings, viewings, etc. 
    • Source to read/view in more depth. 
      • Scan and vote on: 2021 Turing Award lecture paper: https://dl.acm.org/doi/pdf/10.1145/3448250. We read the first two paragraphs. Should we read/view more of this? (5=strongly agree, 4=agree, 3=neutral, 2=disagree, 1=strongly disagree.) Vote was 4.5.
      • https://e2eml.school/transformers.html: "Transformers From Scratch." We read up to: "Second order sequence model with skips". So we can start there next time we meet. The vote was 4 3/8 out of 5 for this document, though we can always revote as we progress through it.
We ended the meeting here.
  • Potential future readings that we have assessed in earlier meetings.
    • Vote on: Dalle-E 2 - how it works: https://www.youtube.com/watch?v=F1X4fHzF4mQ. Should we read/view more of this? Vote was 4.
    • Ni et al., Learning Good State and Action Representations via Tensor Decomposition, https://arxiv.org/abs/2105.01136. We read the title and 1st sentence. Vote to read more was 4 out of 5.
    • We have read through the fifth paragraph of  https://www.marktechpost.com/2022/03/07/an-introduction-to-saliency-maps-in-deep-learning, then voted on the priority for reading more of it. Vote: 3.67 out of 5.
    • CNN basics: https://towardsdatascience.com/the-most-intuitive-and-easiest-guide-for-convolutional-neural-network-3607be47480. We previously read 2 paragraphs. Read more? Vote was 3.6 out of 5.
    • https://www.youtube.com/watch?v=BolevVGJk18. This introduces Jonschkowski, Brock, Learning State Representations with Robotic Priors. Should we try the first paragraph(s) of the paper? Vote was 3.6 out of 5.
    • https://en.wikipedia.org/wiki/Markov_decision_process. Should we read/view more of this? Vote was 3 1/5.
    • Brooks, R., 2017, Seven Deadly Sins of AI Prediction, in serveinfo\AIstudyGroup. Vote was 2.6 out of 5.
  • Please send in more suggestions for readings. We can read/view the first paragraph/minute or so of each, assessing each whether to go over it in more depth. To assess each one, vote: Should we read/view more of this? 5=strongly agree, 4=agree, 3=neutral, 2=disagree, 1=strongly disagree.

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