技術動向の調査として、ICML Workshop Uncertainty & Robustness in Deep Learningの中で、面白そうなタイトルを中心に読んで各論文を4スライドでまとめました。
最新版:https://speakerdeck.com/masatoto/icml-2021-workshop-shen-ceng-xue-xi-falsebu-que-shi-xing-nituite-e0debbd2-62a7-4922-a809-cb07c5da2d08(文章を修正しました。)
This document discusses some of the challenges in developing AI systems that utilize machine learning. It notes that machine learning systems rely on probabilities and statistics based on training data, making quality assurance difficult. It is also difficult to fully understand and interpret models from deep neural networks. The document suggests that new approaches are needed for developing machine learning-based systems, as traditional software engineering approaches do not work well. Establishing the field of "machine learning engineering" is important for building AI systems that can reliably ensure quality.
The document outlines strategies for enhancing research efficiency, emphasizing the importance of effective literature review, management skills, and collaborative efforts among researchers. It discusses two main methods for skill enhancement: learning from peers and leveraging online resources, while highlighting the challenges and advantages of each approach. Additionally, it provides insights into the dynamics of various research labs, communication practices, and the value of sharing knowledge across institutions.
技術動向の調査として、ICML Workshop Uncertainty & Robustness in Deep Learningの中で、面白そうなタイトルを中心に読んで各論文を4スライドでまとめました。
最新版:https://speakerdeck.com/masatoto/icml-2021-workshop-shen-ceng-xue-xi-falsebu-que-shi-xing-nituite-e0debbd2-62a7-4922-a809-cb07c5da2d08(文章を修正しました。)
This document discusses some of the challenges in developing AI systems that utilize machine learning. It notes that machine learning systems rely on probabilities and statistics based on training data, making quality assurance difficult. It is also difficult to fully understand and interpret models from deep neural networks. The document suggests that new approaches are needed for developing machine learning-based systems, as traditional software engineering approaches do not work well. Establishing the field of "machine learning engineering" is important for building AI systems that can reliably ensure quality.
The document outlines strategies for enhancing research efficiency, emphasizing the importance of effective literature review, management skills, and collaborative efforts among researchers. It discusses two main methods for skill enhancement: learning from peers and leveraging online resources, while highlighting the challenges and advantages of each approach. Additionally, it provides insights into the dynamics of various research labs, communication practices, and the value of sharing knowledge across institutions.
[Editage Seminar] Common language mistakes made by Japanese authors and essen...英文校正エディテージ
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This document summarizes a presentation given by Yukti Bharwani on common mistakes made by Japanese authors when writing research papers in English for publication. The presentation covers mistakes made in various sections of research papers like titles, keywords, cover letters, introductions, methods, results, discussions, and references. It provides tips to avoid these mistakes by following best practices in scientific writing. The presentation emphasizes understanding the perspective of journal editors and peer reviewers as the main audience for the paper.
Checklist to avoid accidental plagiarism英文校正エディテージ
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The document provides a 10-point checklist for avoiding accidental plagiarism when writing manuscripts. It advises acknowledging the works of others, using quotation marks for verbatim text, keeping verbatim text to a minimum, rewriting content from previous studies in one's own words, citing sources, mentioning if the paper was previously presented, following ideas from previous studies with one's own interpretation, using plagiarism detection software, and emphasizing novelty in the cover letter.
11. 異なるグループの読者に向けて執筆する
解説なし We investigate the role of reduced monoamine oxidase B (MAO B) activity
解説なし:
in smoker behavior.
良い書き方: The enzyme monoamine oxidase B (MAO B) is involved in the
良い書き方
breakdown of dopamine, a neurotransmitter implicated in reinforcing and motivating
addictive behaviours such as smoking. MAO B inhibition is associated with enhanced
activity of dopamine. We investigate the role of reduced MAO B activity in smoker
behavior.
13. 効果的な论文构成:论文を通して価値あるアイデアを伝える方法
参考文献:
参考文献
1. G Gopen, J Swan The Science of Scientific Writing., American Scientist, 78, pp. 550–558
2. DJ Bern Writing the Empirical Journal Article., in The Compleat Academic: A Practical
Guide for the Beginning Social Scientist, Lawrence Erlbaum Associates, Inc., New Jersey,
USA
3. Characteristics of a High Quality Manuscript. National Council of Teachers of
Mathematics, available online
at http://www.nctm.org/publications/content.aspx?id=17149
4. J Samet. Dear Author—Advice from a Retiring Editor., American Journal of
Epidemiology, 150, 433–436
5. D Byrne. Common reasons for rejecting manuscripts at medical journals., Science
Editor, 23, pp. 39–44
6. Characteristics of a High Quality Manuscript (for mathematics ). Journal for Research in
Mathematics Education. (n.d.).
14. Connect
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