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
81
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
GUI操作LLMの最新動向: UI-TARSと関連論文紹介
kfujikawa
0
1.5k
Enhancing News Recommendation with Transformers and Ensemble Learning
kfujikawa
0
110
H&M Personalized Fashion Recommendation
kfujikawa
0
340
コミュニティ検出 動向紹介
kfujikawa
1
570
Stable Diffusion - Image to Prompts
kfujikawa
4
2.4k
BMS Molecular Translation 3rd place solution
kfujikawa
0
90
ACL2020 best papers
kfujikawa
0
77
Kaggle参加報告: Champs Predicting Molecular Properties
kfujikawa
0
110
NLP@ICLR2019
kfujikawa
0
53
Other Decks in Science
See All in Science
My Little Monster
juzishuu
0
230
DMMにおけるABテスト検証設計の工夫
xc6da
1
1.3k
Ignite の1年間の軌跡
ktombow
0
180
2025-05-31-pycon_italia
sofievl
0
110
機械学習 - K近傍法 & 機械学習のお作法
trycycle
PRO
0
1.3k
Cross-Media Technologies, Information Science and Human-Information Interaction
signer
PRO
3
31k
実力評価性能を考慮した弓道高校生全国大会の大会制度設計の提案 / (konakalab presentation at MSS 2025.03)
konakalab
2
220
[Paper Introduction] From Bytes to Ideas:Language Modeling with Autoregressive U-Nets
haruumiomoto
0
160
AI(人工知能)の過去・現在・未来 —AIは人間を超えるのか—
tagtag
0
120
Quelles valorisations des logiciels vers le monde socio-économique dans un contexte de Science Ouverte ?
bluehats
1
580
データベース15: ビッグデータ時代のデータベース
trycycle
PRO
0
390
知能とはなにかーヒトとAIのあいだー
tagtag
0
150
Featured
See All Featured
Building Better People: How to give real-time feedback that sticks.
wjessup
370
20k
A Modern Web Designer's Workflow
chriscoyier
697
190k
Designing Dashboards & Data Visualisations in Web Apps
destraynor
231
54k
GraphQLとの向き合い方2022年版
quramy
49
14k
Responsive Adventures: Dirty Tricks From The Dark Corners of Front-End
smashingmag
253
22k
How Fast Is Fast Enough? [PerfNow 2025]
tammyeverts
3
350
Save Time (by Creating Custom Rails Generators)
garrettdimon
PRO
32
1.8k
Practical Orchestrator
shlominoach
190
11k
VelocityConf: Rendering Performance Case Studies
addyosmani
333
24k
10 Git Anti Patterns You Should be Aware of
lemiorhan
PRO
659
61k
Unsuck your backbone
ammeep
671
58k
GraphQLの誤解/rethinking-graphql
sonatard
73
11k
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