Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Stanford Covid Vaccine 2nd place solution
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Kazuki Fujikawa
June 16, 2021
Science
110
0
Share
Stanford Covid Vaccine 2nd place solution
Stanford Covid Vaccine 2nd place solution
Kazuki Fujikawa
June 16, 2021
More Decks by Kazuki Fujikawa
See All by Kazuki Fujikawa
GUI操作LLMの最新動向: UI-TARSと関連論文紹介
kfujikawa
0
2.2k
Enhancing News Recommendation with Transformers and Ensemble Learning
kfujikawa
0
160
H&M Personalized Fashion Recommendation
kfujikawa
0
380
コミュニティ検出 動向紹介
kfujikawa
1
650
Stable Diffusion - Image to Prompts
kfujikawa
4
2.5k
BMS Molecular Translation 3rd place solution
kfujikawa
0
120
ACL2020 best papers
kfujikawa
0
110
Kaggle参加報告: Champs Predicting Molecular Properties
kfujikawa
0
140
NLP@ICLR2019
kfujikawa
0
78
Other Decks in Science
See All in Science
(2025) Balade en cyclotomie
mansuy
0
610
次代のデータサイエンティストへ~スキルチェックリスト、タスクリスト更新~
datascientistsociety
PRO
3
42k
「遂行理論の未来」(松島斉教授最終講義記念セッションの発表資料)
shunyanoda
0
900
Question Driven Development using Python
willingc
PRO
1
120
共生概念の整理と AIアライメントの構想
hiroakihamada
0
200
機械学習 - ニューラルネットワーク入門
trycycle
PRO
0
970
機械学習 - 決定木からはじめる機械学習
trycycle
PRO
0
1.4k
【RSJ2025】PAMIQ Core: リアルタイム継続学習のための⾮同期推論・学習フレームワーク
gesonanko
0
880
やるべきときにMLをやる AIエージェント開発
fufufukakaka
2
1.4k
水耕栽培を始める前に知っておきたい植物の科学
grow_design_lab
0
200
検索と推論タスクに関する論文の紹介
ynakano
1
220
主成分分析に基づく教師なし特徴抽出法を用いたコラーゲン-グリコサミノグリカンメッシュの遺伝子発現への影響
tagtag
PRO
0
260
Featured
See All Featured
[SF Ruby Conf 2025] Rails X
palkan
2
1.1k
Mobile First: as difficult as doing things right
swwweet
225
10k
Design in an AI World
tapps
1
220
Site-Speed That Sticks
csswizardry
13
1.2k
A Soul's Torment
seathinner
6
2.9k
Ethics towards AI in product and experience design
skipperchong
2
290
Taking LLMs out of the black box: A practical guide to human-in-the-loop distillation
inesmontani
PRO
3
2.2k
Sharpening the Axe: The Primacy of Toolmaking
bcantrill
46
2.8k
Noah Learner - AI + Me: how we built a GSC Bulk Export data pipeline
techseoconnect
PRO
0
190
RailsConf & Balkan Ruby 2019: The Past, Present, and Future of Rails at GitHub
eileencodes
141
35k
Writing Fast Ruby
sferik
630
63k
Game over? The fight for quality and originality in the time of robots
wayneb77
1
180
Transcript
%4᳒ᰆ ,B[VLJ'VKJLBXB Ꮠუ័୷ΰᏐუ័.PCJMJUZ5FDIOPMPHJFT ,BHHMF$PNQFUJUJPO 4UBOGPSE$PWJE7BDDJOF OEQMBDFTPMVUJPO 5FBN,B[VLJ ,B[VLJ4RVBSFE ,B[VLJ0OPEFSB
,B[VLJ'VKJLBXB
े 4UBOGPSE$PWJE7BDDJOF े ୣணஊ୶୧ணᑁᮉ े உ୩ஙண े 4PMVUJPO "(&/%"
े 4UBOGPSE$PWJE7BDDJOF े ୣணஊ୶୧ணᑁᮉ े உ୩ஙண े 4PMVUJPO "(&/%"
े $07*%ଠடୟୱணಬ᭦ଚଉଘN3/"டୟୱண૾ᔞଇାଘଽ े ༾ᑗଜ᜔ᅴଝജ൙ᛟᧄଜለᬾଙો᷻ᜲᴌႼഋᅌᡡଝჵୄሿଖ े ࿖ᅌଜଛଝག૿ଜᯠẴୄሿଓોରᯔଇାఔ౺૾ᘏ े ࿖ᅌடୟୱண૾ᛛᇡଇାଘ૽౦ങଙඇୄᜲኅଋଽରଙଠᴝ᠊ଠ ଛଅ૽ଙો൏ᮛଇାଘ፡ඇᅌ૾ཉୁାଘଉର े
ଛଠ3/"ᑑᴍ૾൏ᮛଇାଶଋଠ૽ોରញᮌ૾ဍଜ ୣணஊ୶୧ணᑁᮉᦴጳ IUUQTXXXLBHHMFDPNDTUBOGPSEDPWJEWBDDJOFPWFSWJFX 3/"൏ྶଠค༐ଙଠ൏ᮛᴌႼୄቯ࿖ଙ૿ଽఒᕺஒ୷ୄ౬଼ો டୟୱண᷻ᜲଝᄎᠼଘ
े N3/"൏ྶଠค༐ଝଋଽౄ௦ଠᎇ௦ଙଠ෧ᄷᅌୄఒᕺଋଽ े SFBDUJWJUZค༐ଠ෧ᄷᅌ े
[email protected]
@Q)Q)ଙஎୠ୧ୖஐୄตଲᖚྜྷଙଠค༐ଠ෧ᄷᅌ े
[email protected]
@$ݽଙஎୠ୧ୖஐୄตଲᖚྜྷଙଠค༐ଠ෧ᄷᅌ ୣணஊ୶୧ணᑁᮉ୯୩ୟ KWWSVZZZNDJJOHFRPFVWDQIRUGFRYLGYDFFLQHGLVFXVVLRQ
ሷᇶ␒ྕ 6HTXHQFH * * $ $ $ $ * 6WUXFWXUH 3UHGLFWHG/RRS7\SH ( ( ( ( ( 6 6 ሷᇶ␒ྕ UHDFWLYLW\ GHJB0JBS+ GHJB0JB&
े சୟ୩ े .$3.4&ῠஙஐᓍଠ3.4&Ⴅ໎ῡ े ᮨᤚ୷୯୶୩୷୯ῠ1VCMJD-#ῡ े ጃଝ࿚ỿᣨ෪ᄠᕩଠഋ᷶༐ଠN3/"൏ྶ े ଉો4/ᓏ૾ဌଇଁોಘằᅌଠౢ୷୯ଡᯀಃ૽Ḩ༻ଇାଽ
े 4/ᓏଡᮨᤚ୷୯ଠ௨ૺାଽ े ୶୩୷୯ῠ1SJWBUF-#ῡ े ୣணஊ፫᷾௴ଝ௱ᬻଉଘ࿚ỿଇାഋ᷶༐ଠN3/"൏ྶ े 1VCMJD-#ฉᑗો4/ᓏ૾ဌଇ୷୯ଡ፞ᣡᯀಃ૽Ḩ༻ଇାଽ े ߓଅଠᵄ൏ଙ,BHHMFᴛຄଠ1SJWBUF-#ᮣᡴଝஏ୩૾଼ો -#ଠജᮣᡴ૾ᬻୁାଽଅଚଝ ୣணஊ୶୧ணᑁᮉᯀಃ
े 4UBOGPSE$PWJE7BDDJOF े ୣணஊ୶୧ணᑁᮉ े உ୩ஙண े 4PMVUJPO े ,BHHMFୣணஊଝૼଃଽ࿚ỿᡷᚫ
"(&/%"
े 4FRVFODF 4USVDUVSF 1SFEJDUF-PPQ5ZQFୄዥྐྵൕଠଝሄો 3//ῠ-45.(36ῡଙஒ୷சணୠ े IUUQTXXXLBHHMFDPNYIMVMVPQFOWBDDJOFTJNQMFHSVNPEFM உ୩ஙண-45.(36 VWUXFWXUH
VHTXHQFH **$$$$*&8« (PEHGGLQJ (PEHGGLQJ (PEHGGLQJ * * $ SUHGLFWHGBORRSBW\SH (((((66666« ( ( ( /670 *58 UHDFWLYLW\ GHJBS+ GHJB0JBS+ GHJB& GHJB0JB&
े 4USVDUVSF #11ῠ#BTF1BJSJOH1SPCBCJMJUZ.BUSJYῡୄକଘ ୠஙஅୄᑑᇡ े IUUQTXXXLBHHMFDPNNSLNBLSDPWJEBFQSFUSBJOHOOBUUODOO உ୩ஙண(// VHTXHQFH **$$$$*&8« 2+(
2+( 'LVWDQFH0DWUL[ SUHGLFWHGBORRSBW\SH (((((66666« ESS * * $ ( ( ( VWUXFWXUH DGMXVWPHQW *11 UHDFWLYLW\ GHJBS+ GHJB0JBS+ GHJB& GHJB0JB&
े 4UBOGPSE$PWJE7BDDJOF े ୣணஊ୶୧ணᑁᮉ े உ୩ஙண े 4PMVUJPO "(&/%"
4PMVUJPOᑁᮉ IUUQTXXXLBHHMFDPNDTUBOGPSEDPWJEWBDDJOFEJTDVTTJPO
4PMVUJPOᑁᮉ IUUQTXXXLBHHMFDPNDTUBOGPSEDPWJEWBDDJOFEJTDVTTJPO
े ᭲ዝଠ3/"ᑑᴍఒᕺச୪ஐଙଜଽ#11ୄ෪ᄠ े ᮨᤚ୷୯ଠᓝ༗ଉ55"ଝᛟ े ஒ୷ങଙ᭲ዝଠ#11ୄ൙ᛟ 4PMVUJPO%BUB"VHNFOUBUJPO OMP>OPM@
MDBDI<G D@II<½ JIOM<AJG? PK<>F I<NJAO O@MI<AJG?
4PMVUJPOᑁᮉ IUUQTXXXLBHHMFDPNDTUBOGPSEDPWJEWBDDJOFEJTDVTTJPO
े ᭲ዝଠ#11ୄୱஓዷฎଝᵒᥔ 4PMVUJPO-45.(36ῠ,'ῡ VWUXFWXUH VHTXHQFH **$$$$*&8« (PEHGGLQJ
(PEHGGLQJ (PEHGGLQJ * * $ &RQY' 0D[SRRO SUHGLFWHGBORRSBW\SH (((((66666« ( ( ( ESSV /670 *58 UHDFWLYLW\ GHJBS+ GHJB0JBS+ GHJB& GHJB0JB&
े ᭲ዝଠ#11ଙୠஙஅୄᑑᢀ 4PMVUJPO-45.(36ῠ0OPEFSBῡ VHTXHQFH **$$$$*&8« 2+( 2+( 'LVWDQFH0DWUL[ SUHGLFWHGBORRSBW\SH (((((66666«
ESSV * * $ ( ( ( VWUXFWXUH DGMXVWPHQW *11 UHDFWLYLW\ GHJBS+ GHJB0JBS+ GHJB& GHJB0JB&
4PMVUJPOᑁᮉ IUUQTXXXLBHHMFDPNDTUBOGPSEDPWJEWBDDJOFEJTDVTTJPO
े 3//(//ଠ᭲ዝஒ୷4UBDLJOHଠ00'ଙ1TFVEP-BCFMୄ࿚ዹ े ଅାୄଇଝ4UBDLJOHଋଽଚ00'ଝᴝ࿁ଉ1TFVEP-BCFMஒ୷ଠ JNQPSUBODF૾ག૿ଁଜ଼ଋଽଳો୪ୄૺଘ4UBDLJOH 4PMVUJPO1TFVEP-BCFM QSUDQGRPQRUPDO
4PMVUJPO4UBDLJOH H[S;;;LV$( *11
4PMVUJPO4UBDLJOH
4PMVUJPO4UBDLJOH
4PMVUJPOᑁᮉ IUUQTXXXLBHHMFDPNDTUBOGPSEDPWJEWBDDJOFEJTDVTTJPO
े 1VCMJD1SJWBUFଠག૿ଜೖฎၼᣃൕ᷶ῠWTῡ े $7ଙẻଠೖฎၼୄ౬଼ોག૿ଜᅌᧄඁට૾ᘏ૽឴ᯔ 4PMVUJPO-#୧ஏகஜ୧ண 7UDLQ 3ULYDWHWHVW VHTBOHQJWK VHTBVFRUHG VHTBOHQJWK
VHTBVFRUHG 9DOLG VHTBOHQJWK VHTBVFRUHG 7UDLQ VHTBOHQJWK VHTBVFRUHG 6LPXODWH *11 *58 7UDLQ 9DOLG
े $71VCMJD-#ଡჵଁḂଉଘ $7WT1VCMJD-#
े $71SJWBUF-#ଡஒ୷ଝକଘଡဍଉᅸଠྺ े 4UBDLJOHჵଉ $7WT1SJWBUF-#
े ᭲ዝଠ3/"ᑑᴍఒᕺச୪ஐୄଅଚଙોஒ୷ଠᢱႼୄ ག૿ଁዋଋଽଅଚ૾ଙ૿ े 1TFVEP-BCFM 4UBDLJOH૾ṻ႖ଝ፡ඇକ े ῠჟୱஐଝḢଌῡ1VCMJD1SJWBUFଠ୩ୣၼଡག૿૽କ ῠ1VCMJDYߓ1SJWBUFYῡ े
ଅଠ୩ୣၼଡોසᣍଜ୷୯ᄃუଠᴠଝଽᛣᎋଙଡଜଇଏ ῠ-#୧ஏகஜ୧ணଙଡଜଽೖฎଠᣨୄ៍ଉଘῡ े ༷ዝଶ3/"ᑑᴍଠ୯ணଝག૿ଜᴠ૾କᧄᅌῷ 4PMVUJPOରଚଳ