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For years, my long-term life plan was to keep trying to prove the Haldane gap for as long as my brain kept working. Now AI has forced me to revise that plan.
Still, perhaps I should have seen this coming: I chose HAL as my first name when I wrote my very first paper.
yudai.py retweeted
大学院生になった皆様、アカデミアのキャリアってよくわからないですよね。むかーしに挙げてたpdf をリファインし書き足しました。お役に立ちますように。
「素粒子理論のポスト応募ガイド」
(素粒子理論、とついてるのは僕自身の経験が元だからです)
www2.yukawa.kyoto-u.ac.jp/~a…
#RP希望
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My thoughts on the broken state of AI conference reviewing:
Years ago, when I was in graduate school and a postdoc in Information Theory, I always felt fortunate to be invited to review for IEEE Transactions on Information Theory or IEEE Transactions on Signal Processing. I felt I was being considered an expert on the subject matter and that my opinion helped make a difference in the review process. I was treated with respect, and I was happy to be part of it.
I started publishing in mainstream ML venues in 2017 and was invited to be a reviewer for ML conferences in 2018. I jumped in with the same passion, but it soon became clear that being a reviewer didn’t really matter. I would spend time engaging with a paper only to be overturned by an AC who didn’t read or understand my review, or didn’t care to engage and discuss their rationale. I witnessed terribly wrong papers being accepted and good papers being unduly rejected. I quickly started to feel my role as a reviewer was irrelevant. I wasn’t treated with respect, and I couldn’t make a meaningful difference in the system. I probably would have stopped reviewing for ML long ago if I hadn’t been promoted to AC, and I know a lot of senior researchers who stopped engaging and caring.
When I became an AC, I tried to engage reviewers, treat them with respect, and make sure they felt empowered and valued (especially if I made a decision that went against their recommendation). This is crucial for a functioning review system because reviewers need to feel their work matters if we want them to keep coming back and engaging. Now, we’ve reached a point where many reviewers feel their work doesn’t matter. The more experienced reviewers aren’t excited to engage, and the review quality keeps going down to the extent that we really lack qualified reviewers in the system.
What solution have we found to this problem? Force everyone to be a reviewer. This is what EMNLP, NeurIPS, CVPR, etc., did this year, which (in my opinion) is a terrible way to address the root cause. We should have thought about how to bring back dignity to the reviewer’s role instead.
Fast forward to today, and we are taking steps to make the role of an AC irrelevant as well. When PCs/SACs overturn an AC’s decision without even engaging the AC in the process, the AC doesn’t feel respected or useful. This has been happening in the NLP conferences for a while and happened this year at NeurIPS. Not only does an AC likely feel irrelevant, the SACs will feel the same. We will quickly see experienced members of the community stop accepting AC/SAC roles because they feel it’s a useless activity. The quality of ACs/SACs will go down, and more of the burden will shift to the PCs, who have to decide on 20k+ papers. The end result is that the entire system will soon crumble.
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Why ask for 4 reviews if one AC can ignore them all? #NeurIPS2025
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雑談中にサっとarXivのQRシェアできるサービスつくりました。パット見でarXivだとわかるようにしてるのでスライドやポスターなどにもどうぞ。
所望のページのURLでarxiv→aqrxivと置換するだけで試せます。
Get an instant QR code for your paper!
aqrxiv.org
yudai.py retweeted
他分野への数学の先駆けた応用には,異質分野の勉強と研究対象の数理化+数学解析が必要で,準備に時間がかかると思います。甘利先生のご指摘の通り,流行や短期的でない良い研究を自由に続けられる環境整備は重要です。
甘利俊一が懸念する日本の研究環境 文春オンライン
bunshun.jp/articles/-/81031
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“大学院は,研究者になりたいと考える(多くの場合,目立って優秀とは言えない)学生が,優秀な研究者になっていく過程をサポートする機関である。不思議なことに,大学院を「最初から優秀な学生だけが進学する機関」である,と考えている研究者・指導者はとても多い。”
note.com/lingfieldwork/n/n5b…
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Iran is Persia, the well from which science and poetry sprang. It is the pillar of history, the heartbeat of memory. It was building libraries before Europeans conceived of toilets. They were elucidating the heavens while Europeans debated whether one should bathe more than once per year. Persia stood glorious before Judaism or any monotheistic religion. Now Europe's garbage-come-zionst state is trying to destroy it with American military fire. It's ironic that two settler colonial states, with barely an eye blink of history, are trying to wipe out Persia.
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ショウペンハウエルの「読書について」は、大学1年の推薦図書として最高に適していると思う。
これから学問に励もうという人に薦めるこれ以上の本を私は知らない。高校生が読んでもいい。私は大学生になって最初に読んだ本がこれだった。若い時に読んでよかったと思ってる
amzn.to/2VRGM3y
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The Okinawa Institute of Science and Technology (OIST) offers fully funded PhD positions - specifically open to students from the US.
This quoted post is unavailable.
yudai.py retweeted
これ近年の「老害になりたくない」みたいなムーブメントに対しても思うんですが、自分の生きてきた人生に矜持を持ち普通に若者から疎まれたり目標にされたり脅威になればいいところを、いつまでも若者気分の残響を聞いているために若さに迎合し過ぎている軟弱な大人が増えた気がする。
This quoted post is unavailable.
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I received a review like this five years ago. It’s probably the right time now to share it with everyone who wrote or got random discouraging reviews from ICML/ACL.
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“To work in a field like that you have to be confident that you’re right even when everybody else says you’re wrong.”
Geoffrey Hinton describes in his official Nobel Prize interview that success comes from never giving up, even if no one believes in you.
Hinton was awarded the 2024 physics prize “for foundational discoveries and inventions that enable machine learning with artificial neural networks”.
Watch the full interview here: bit.ly/4bAXtps
yudai.py retweeted
Replying to @physics303
凸関数最適化といえばBoyd本 (web.stanford.edu/~boyd/cvxbo…) のスライドがおすすめですが、
web.stanford.edu/~boyd/cvxbo…
等式条件だったらp334に更新則がのっています
不等式制約まで入ると効率的に解くにはバリア法や変換された内点法を使い、その中でニュートン法を使う場合があります
yudai.py retweeted
ニュートン法といえば、こんな本があります
link.springer.com/book/10.10…























