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
20191005_Recsys2019_Users_In_The_Loop.pdf
Search
Waku Michishita
October 05, 2019
Research
260
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
20191005_Recsys2019_Users_In_The_Loop.pdf
Waku Michishita
October 05, 2019
More Decks by Waku Michishita
See All by Waku Michishita
Rでグラフ作るの!
wmichi
0
750
Bayesian Optimizationを用いたパラメータチューニング
wmichi
0
790
数式と実装から復習するツリーアルゴリズム
wmichi
0
400
Other Decks in Research
See All in Research
明日から使える!研究効率化ツール入門
matsui_528
13
7.5k
第64回CV・PRML勉強会 論文紹介:Linguistic Priors for Visual Decoupling: Towards Symmetric Vision-Brain Alignment
sokikatayama
0
140
Anthropic が提案する LLM の内部状態を自然言語で説明可能にした Natural Language Autoencoders / Natural Language Autoencoders Produce Unsupervised Explanations of LLM Activations
shunk031
0
150
2026年版中小企業白書・小規模企業白書の概要
ozekinote
0
120
JICA QUEST 共創×革新プログラム Impact Report(海ノ向こうコーヒー)
ontheslope
0
220
Using our influence and power for patient safety
helenbevan
0
370
「AIとWhyを深堀る」をAIと深堀る
iflection
0
530
東京大学工学部計数工学科、計数工学特別講義の説明資料
kikuzo
0
570
AY 2026 Guide to Academic Writing Using Generative AI - Workshop
ks91
PRO
0
140
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
shunk031
4
1.1k
SAKURAONE:An Open Ethernet-based AI HPC System And Its Observed Workload Dynamicsin a Single-Tenant LLM Development Environment
yuukit
1
460
全国町字単位空き家率推定データver1.0データ仕様
microbaseinc
0
140
Featured
See All Featured
The Hidden Cost of Media on the Web [PixelPalooza 2025]
tammyeverts
2
380
Avoiding the “Bad Training, Faster” Trap in the Age of AI
tmiket
0
200
Future Trends and Review - Lecture 12 - Web Technologies (1019888BNR)
signer
PRO
0
3.6k
HU Berlin: Industrial-Strength Natural Language Processing with spaCy and Prodigy
inesmontani
PRO
0
560
First, design no harm
axbom
PRO
2
1.2k
The Illustrated Guide to Node.js - THAT Conference 2024
reverentgeek
1
410
ReactJS: Keep Simple. Everything can be a component!
pedronauck
666
130k
Conquering PDFs: document understanding beyond plain text
inesmontani
PRO
4
2.9k
Navigating Weather and Climate Data
rabernat
0
400
ピンチをチャンスに:未来をつくるプロダクトロードマップ #pmconf2020
aki_iinuma
128
56k
The Spectacular Lies of Maps
axbom
PRO
1
870
Gemini Prompt Engineering: Practical Techniques for Tangible AI Outcomes
mfonobong
2
470
Transcript
6TFSTJOUIF-PPQ "1TZDIPMPHJDBMMZ*OGPSNFE"QQSPBDIUP 4JNJMBS*UFN3FUSJFWBM ͷհ 3FD4ZTจಡΈձ!8BOUFEMZ ಓԼ ٱ
ຊհ͢Δจ • λΠτϧ 6TFSTJOUIF-PPQ"1TZDIPMPHJDBMMZ*OGPSNFE "QQSPBDIUP4JNJMBS*UFN3FUSJFWBM • ஶऀ "NZ"8JOFDPGG 'MPSJO#SBTPWFBOV #SZDF
$BTBWBOU 1FBSDF8BTIBCBVHI BOE.BUUIFX (SBIBN 5SVF'JU
֓ཁ • ఏҊ .BUIFNBUJDBMͳྨࣅͰͳ͘1TZDIPMPHJDBMMZ *OGPSNFEͳྨࣅΛϨίϝϯυʹ༻͍ͯͲ͏͔ʁ • ҙࣝ ΦϑϥΠϯධՁͱΦϯϥΠϯධՁཱ͕྆͠ͳ͍ .BUIFNBUJDBMͳྨࣅ͕Ϣʔβͷ৺ཧతཁҼΛߟྀ ͍ͯ͠ͳ͍͔ΒͰʁ
͜ͷจͰΓ͍ͨ͜ͱ 1TZDIPMPHJDBMMZ*OGPSNFEͳྨࣅͷଌఆ ํ๏ͷཱ֬ 1TZDIPMPHJDBMMZ*OGPSNFEͳྨࣅͷఆࣜԽ
)VNBO1FSDFQUJPOBOE+VEHFNFOUT ਓؒͷ֮Λௐࠪ͢Δํ๏৭ʑ͋Δ • Α͘༻͍ΒΕΔͷ 4JOHMF*UFN"QQSPBDI • ࠓճ͍͍ͨͷ 'PSDFE$IPJDF
4JOHMF*UFN"QQSPBDI ҎԼͷΑ͏ͳ࣭Λ͛ͯධՁͤ͞Δํ๏
4JOHMF*UFN"QQSPBDIͷܽ 4JOHMF*UFN"QQSPBDIͷલఏͷ͍͔ͭ͘ ࣮ࡍʹΓཱͨͳ͍ͱࢦఠ • UIFTDBMFJTVTFEJOUIFTBNF VOCJBTFE XBZCZBMMQBSUJDJQBOUT ˡ࣮ࡍྑ͍ํʹධՁ͕ͪͩͬͨ͠Γ͢Δ • IVNBOTIBWFTUBCMF
BCTPMVUFQSFGFSFODF ˡ࣮ࡍจ຺ೝͷڐ༰ྔʹΑ੍ͬͯݶ͞ΕΔ
'PSDFE$IPJDF ҎԼͷΑ͏ʹೋऀҰͰ͑ͤ͞Δܗࣜ ͋ͳ͕ͨམͱͨ͠ͷ ۚͷ佁ʁͦΕͱۜͷ佁ʁ
'PSDFE$IPJDFͷརͱܽ • ར • ईͷղऍʹᐆດ͕͞ͳ͍ • Ϣʔβ͕Ͳ͜Ͱࣅ͍ͯΔʗࣅ͍ͯͳ͍ͷڥքઢΛҾ ͍ͨͷ͔ཧղ͍͢͠ • ܽ
• ϢʔβʹΑͬͯڥքઢΛͻ͘5ISFTIPME͕ҟͳΔ • ࣮ࡍʮͲͪΒબͳ͍ʯͱ͍͏બ͕͋Γ͏Δ ͨͩ͠ࠓճٻΊ͍ͯΔճʮͲͪΒ͕ൺֱతࣅ͍ͯΔ ͔ʯͳͷͰ͜ͷҰ୴ແࢹ͢Δ͜ͱͱ͍ͯ͠Δɻ
4JNJMBSJUZͷධՁ ैདྷͷํ๏ Ϩίϝϯσʔγϣϯʹ͓͍ͯΑ͘༻͍ΒΕΔͷ NFUSJDEJTUBODFGVODUJPOϕʔεͷͷ FY +BDDBSE 4JNJMBSJUZ " ,
= | ∩ | | ∪ | • ه߸ͷఆٛͦΕͧΕҎԼͷ௨Γ , +BDDBSEʹجͮ͘ྨࣅ , ྨࣅΛௐΔΞΠςϜ , ֤ΞΠςϜͷಛྔ
ܽ ैདྷͷࢦඪͰҎԼͷ͜ͱ͕ߟྀͰ͖͍ͯͳ͍ͱࢦఠ • ྨࣅੑఆͷඇରশੑ ʮ"ͱ#ࣅ͍ͯΔ͔ʁʯͱʮ"#ʹࣅ͍ͯΔ͔ʁʯ Ͱ݁Ռ͕ҟͳΓ͏Δ • ಛྔͷྨࣅͷد༩ͷҧ͍ ࣮ࡍϢʔβ͕֮͢Δಛྔͷد༩ҟͳΔͷͰʁ
4JNJMBSJUZͷධՁ ఏҊ͞Εͨํ๏ • 5WFSTLZNPEFM • ಛྔ͝ͱͷॏཁΛߟྀͨ͠ྨࣅ ҎԼͷΑ͏ʹఆࣜԽ͞ΕΔ - ,
= ∩ − − − ( − ) • ه߸ͷఆٛ ∩ ͱͷ྆ํʹؚ·ΕΔಛྔ − ʹͷΈଘࡏ͢Δಛྔ − ʹͷΈଘࡏ͢Δಛྔ , , ্هͷͦΕͧΕͷॏཁΛௐ͢Δύϥϝʔλ
࣮ݧํ๏ UBSHFUʢਅΜதʣʹ͍ͭͯͲͪΒͷBMUFSOBUJWF͕ ΑΓࣅ͍ͯΔͷ͔͑ͤ͞Δ ࣮ݧͷࡉ͔͍ઃఆจࢀর
ྨࣅͷఆࣜԽ • NVMUJMFWFM-PHJTUJD3FHSFTTJPOΛ༻͍ͯ • ͦΕͧΕͷಛྔͷد༩ͷҧ͍Λ໌Β͔ʹ͢Δ • +BDDBSEͱͷྨࣅͷҧ͍Λ໌Β͔ʹ͢Δ • 5WFSTLZNPEFMͷྨࣅ -5,6
= - -∩: − - -;: − (:;-) = (, , ) ֤ಛྔͷॏΈ ͱॏཁͷύϥϝʔλ -∩: ྆ऀʹڞ௨ͷಛྔ͔Ͳ͏͔Λࣔ͢\ ^ͷϕΫτϧ -;: λʔήοτ5ʹͷΈʹଘࡏ͢Δಛྔ͔Ͳ͏͔Λࣔ͢ :;- ൺֱର"ʹͷΈʹଘࡏ͢Δಛྔ͔Ͳ͏͔Λࣔ͢
༻ͨ͠ಛྔ 4-NBUDI4MFFWF-FOHUI͕Ұக͢Δ͔ %- NBUDI%SFTT-FOHUI͕Ұக͢Δ͔ 14 NBUDI1BUUFSO4UZMF͕Ұக͢Δ͔ $' NBUDI$PMPS'BNJMZ͕Ұக͢Δ͔ %4 NBUDI%SFTT4IBQF͕Ұக͢Δ͔
/- NBUDI/FDL-JOF͕Ұக͢Δ͔ %' NBUDI%SFTT'JU͕Ұக͢Δ͔
ଛࣦؔͱ࠷దԽ • ଛࣦؔ = − 1 ? @AB C @
log @Δ- + 1 − @ log 1 − @ ΔSL ℎ @- = B BPQRS ;TU5 V , Δ- = -5,6 − -5,W () • ࠷దԽ minV − B [ log − B [ log − B [ log ℎ ≫ 0 ℎ −
݁Ռ֓ཁ ಛྔ͝ͱʹد༩͕ҧ͏ -PHJTUJD3FHSFTTJPOͷ݁Ռ5WFSTLZ NPEFMͷํ͕ྑ͔ͬͨ ʢ͔֓͠͠Ͷࣅͨ݁Ռʹͳ͍ͬͯΔʣ Ұ෦Ͱྨࣅʹ͕ࠩݱΕͨ
ଐੑ͝ͱͷد༩ͷҧ͍ • Ұ୴୯७ͳ-PHJTUJD3FHSFTTJPOͰಛྔ͝ͱ ͷӨڹΛ֬ೝ • ಛྔ͝ͱʹد༩ҟͳΔʢ5BCMFʣ ͜ͷ࣌Ͱ·ͩ5WFSTLZNPEFMΛ͍ͬͯͳ͍
ଐੑ͝ͱͷد༩ͷҧ͍ • 5WFSTLZNPEFMͰઌͷ݁Ռͱಉ༷ಛྔ͝ͱ ʹد༩͕ҧ͏ • , ʹ͕ࠩग़͓ͯΓఆʹඇରশੑ͕͋Δ ͱΘ͔Δ ্هGPMEͷฏۉΛͱͬͨͷ
݁Ռ ྨࣅੑఆͷҧ͍ • ϩδεςΟοΫͷ݁Ռ5WFSTLZNPEFMͷํ ͕Α͔ͬͨ • จͰݴٴͷΈ • ͔ͨͩ͠ͳΓࣅͨΑ͏ͳ݁Ռʹͳ͍ͬͯͨΒ͍͠
• ྨࣅʹ͕ࠩݱΕͨ • ྨࣅͷఆ͕͍͠Έ߹Θͤ ΄Ͳ྆ऀʹ͕ࠩͰ͍ͯΔ • Ұํ͔ͳΓྨࣅ͍ͯ͠Δ PSશ͘ྨࣅͯ͠ͳ͍߹ͷ ͔ࠩͳΓখ͍͞
՝ • ʮબ͠ͳ͍ʯͱ͍͏બࢶ ͜ͷબࢶ͕͋Δ߹৺ཧతͳಈ͖ʹӨڹ͕͋Γ͏Δ • ϨίϝϯυͰͲ͜·Ͱ͑Δ͔ະ ࠓճղ͍ͨͷ͋͘·Ͱྨ