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Akira's Machine Learning News - Issue #32

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Akira's Machine Learning News

October 17 · Issue #32 · View online

I introduce articles and papers related to machine learning every week. I also publish monthly and semi-annual summaries of the most influential research in that period.


Featured Paper/News in This Week.
  • Methods to improve the performance of zero-shot inference have been presented. Since GPT-3 zero-shot inference is used in many applications, any improvement in the performance of zero-shot inference may have a significant social impact.
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In the following sections, I will introduce various articles and papers not only on the above contents but also on the following five topics.
  1. Featured Paper/News in This Week
  2. Machine Learning Use Case
  3. Papers
  4. Articles related to machine learning technology
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1. Featured Paper/News in This Week
Improved performance of zero-shot inference by fine-tuning using templates.
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2. Machine Learning use case
AI and Rights
Massive Disinformation through Large-Scale Language Models
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3. Machine Learning Papers
The state of ML outside of Big Tech
GAN rendering does not depend on the absolute coordinates of pixels.
VAE to learn causality of latent variables
A method that can equally attack each class in object detection
A DeepFake detection method that prevents overfitting by looking at the entire face
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4. Technical Articles
AI in 2021
Comparison of BigTransforer and CLIP
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5. Other Topics
Google Lens will be soon available for Google Chrome!
Google
Inspiration can strike at any time. ⚡ Soon you'll be able to use #GoogleLens to instantly search for products within images while browsing on the Google app on iPhone. And psst… Lens is coming to Chrome on desktop too 👀 #SearchOn https://t.co/HTQCz7sjoO
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Other Blogs
Machine Learning 2020 summary: 84 interesting papers/articles | by Akihiro FUJII | Towards Data Science
Recent Developments and Views on Computer Vision x Transformer | by Akihiro FUJII | Towards Data Science
Reach and Limits of the Supermassive Model GPT-3 | by Akihiro FUJII | Analytics Vidhya | Medium
Do Vision Transformers See Like Convolutional Neural Networks? (Paper Explained) | by Akihiro FUJII | Oct, 2021 | Towards Data Science
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About Me
Manufacturing Engineer/Machine Learning Engineer/Data Scientist / Master of Science in Physics / http://github.com/AkiraTOSEI/
Twitter, I post one-sentence paper commentary.
akira
https://t.co/4STxary3ll
Soft teacher, a semi-supervised End-to-end object detection method, is proposed with a simple mechanism using two networks: a teacher model and a student model. https://t.co/ZL0wEdvpOc
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