hikifune.fm
Yohei Kikuta機械学習関連で勉強したことをゆるく発信していく podcast です。 Show notes は github.com/yoheikikuta/hikifune.fm です。
| Publishes | Twice monthly | Episodes | 20 | Founded | 5 years ago |
|---|---|---|---|---|---|
| Language |  Japanese | Category | Technology | ||
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曳舟から引っ越すので hikifunefm というタイトルでの配信が最後ということで、ゲストを呼んでこれまでを振り返る雑談回です。
Show notes は github.com/yoheikikuta/hikifune.fm/blob/main/ep/018.md です。
発表者：@yohei_kikuta, @karino2012
パラメタ最適化のフレームワークである Optuna について、committer とワイワイ話す回です。
Show notes は github.com/yoheikikuta/hikifune.fm/blob/main/ep/017.md です。
発表者：@himkt, @yohei_kikuta
アミノ酸配列からタンパク質の立体構造を予測する問題において文字通り桁違いの性能を示した AlphaFold(2) に関して、タンパク質研究のプロとわいわい議論する回です。
Show notes は github.com/yoheikikuta/hikifune.fm/blob/main/ep/016.md です。
発表者：@Ag_smith, @yohei_kikuta
00:00:38~ ゲスト自己紹介と論文についての簡単な所感
00:08:48~ タンパク質の立体構... more
技術的内容はないです。hikifunefm は不定期配信にするという報告です。
Show notes は github.com/yoheikikuta/hikifune.fm/blob/master/ep/015_5.md です。
発表者：@yohei_kikuta
pre-trained T5 で downstream タスクを解く時にタスクを記述する prompt token のみを学習して高い精度（巨大モデルではモデル全体を再学習するのとほぼ同等）を達成する prompt tuning の論文を紹介する回です。
Show notes は github.com/yoheikikuta/hikifune.fm/blob/master/ep/015.md です。
発表者：@yohei_kikuta
ディープラーニングの量子化学への応用である PauliNet の論文を読んだという会。あまり理解してないのでそれっぽいことを雰囲気で述べる会です。
Show notes は github.com/yoheikikuta/hikifune.fm/blob/master/ep/014.md です。
発表者：@yohei_kikuta
DALL·E の理解に向けて part 3 としてついに公開された DALL·E の論文を読む回。論文は学習に関する技術的内容が多いですが、それらにはあまり触れずに DALL·E のモデルがどういう構造なのかという観点で話をしています。
Show notes は github.com/yoheikikuta/hikifune.fm/blob/master/ep/013.md です。
発表者：@yohei_kikuta
聞き手：@smochi_pub
masa_kazama が興味を持って勉強している計算社会科学についてあれこれと話す回です。
Show notes は github.com/yoheikikuta/hikifune.fm/blob/master/ep/012.md です。
発表者：@masa_kazama
聞き手：@yohei_kikuta
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hikifune.fm launched 5 years ago and published 20 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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