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
Kazuki Fujikawa
June 16, 2021
Science
0
62
Stanford Covid Vaccine 2nd place solution
Stanford Covid Vaccine 2nd place solution
Kazuki Fujikawa
June 16, 2021
Tweet
Share
More Decks by Kazuki Fujikawa
See All by Kazuki Fujikawa
Enhancing News Recommendation with Transformers and Ensemble Learning
kfujikawa
0
32
H&M Personalized Fashion Recommendation
kfujikawa
0
300
コミュニティ検出 動向紹介
kfujikawa
1
510
Stable Diffusion - Image to Prompts
kfujikawa
4
2.3k
BMS Molecular Translation 3rd place solution
kfujikawa
0
64
ACL2020 best papers
kfujikawa
0
61
Kaggle参加報告: Champs Predicting Molecular Properties
kfujikawa
0
84
NLP@ICLR2019
kfujikawa
0
44
Kaggle参加報告: Quora Insincere Questions Classification
kfujikawa
0
54
Other Decks in Science
See All in Science
Online Feedback Optimization
floriandoerfler
0
2.2k
Introd_Img_Process_2_Frequ
hachama
0
560
Factorized Diffusion: Perceptual Illusions by Noise Decomposition
tomoaki0705
0
390
IWASAKI Hideo
genomethica
0
110
Ignite の1年間の軌跡
ktombow
0
130
モンテカルロDCF法による事業価値の算出(モンテカルロ法とベイズモデリング) / Business Valuation Using Monte Carlo DCF Method (Monte Carlo Simulation and Bayesian Modeling)
ikuma_w
0
160
統計学入門講座 第1回スライド
techmathproject
0
340
科学で迫る勝敗の法則(名城大学公開講座.2024年10月) / The principle of victory discovered by science (Open lecture in Meijo Univ. 2024)
konakalab
0
350
地表面抽出の方法であるSMRFについて紹介
kentaitakura
1
740
CV_5_3dVision
hachama
0
140
データベース10: 拡張実体関連モデル
trycycle
PRO
0
690
生成検索エンジン最適化に関する研究の紹介
ynakano
2
1k
Featured
See All Featured
Producing Creativity
orderedlist
PRO
346
40k
Why Our Code Smells
bkeepers
PRO
337
57k
Practical Orchestrator
shlominoach
188
11k
The Pragmatic Product Professional
lauravandoore
35
6.7k
BBQ
matthewcrist
89
9.7k
The Success of Rails: Ensuring Growth for the Next 100 Years
eileencodes
45
7.4k
Typedesign – Prime Four
hannesfritz
42
2.7k
Refactoring Trust on Your Teams (GOTO; Chicago 2020)
rmw
34
3k
A better future with KSS
kneath
239
17k
Agile that works and the tools we love
rasmusluckow
329
21k
"I'm Feeling Lucky" - Building Great Search Experiences for Today's Users (#IAC19)
danielanewman
228
22k
Faster Mobile Websites
deanohume
307
31k
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