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
NIPS/KDD2016読み会@早稲田
Search
bigsea
December 26, 2016
Technology
0
1k
NIPS/KDD2016読み会@早稲田
"Why Should I Trust You?" Explaining the Predictions of Any Classifier, KDD2016 の紹介資料
bigsea
December 26, 2016
Tweet
Share
More Decks by bigsea
See All by bigsea
Introduction to semantic parsing
bigseat
0
490
Other Decks in Technology
See All in Technology
AWSでAgentic AIを開発するための前提知識の整理
nasuvitz
2
160
Simplifying Cloud Native app testing across environments with Dapr and Microcks
salaboy
0
160
[Codex Meetup Japan #1] Codex-Powered Mobile Apps Development
korodroid
2
840
やる気のない自分との向き合い方/How to Deal with Your Unmotivated Self
sanogemaru
0
510
セキュアな認可付きリモートMCPサーバーをAWSマネージドサービスでつくろう! / Let's build an OAuth protected remote MCP server based on AWS managed services
kaminashi
3
330
BI ツールはもういらない?Amazon RedShift & MCP Server で試みる新しいデータ分析アプローチ
cdataj
0
160
20251010_HCCJP_AdaptiveCloudUpdates
sdosamut
0
130
"プロポーザルってなんか怖そう"という境界を超えてみた@TSUDOI by giftee Tech #1
shilo113
0
200
HR Force における DWH の併用事例 ~ サービス基盤としての BigQuery / 分析基盤としての Snowflake ~@Cross Data Platforms Meetup #2「BigQueryと愉快な仲間たち」
ryo_suzuki
0
220
Findy Team+ QAチーム これからのチャレンジ!
findy_eventslides
0
210
そのWAFのブロック、どう活かす? サービスを守るための実践的多層防御と思考法 / WAF blocks defense decision
kaminashi
0
200
能登半島地震において デジタルができたこと・できなかったこと
ditccsugii
0
220
Featured
See All Featured
Measuring & Analyzing Core Web Vitals
bluesmoon
9
620
Why Our Code Smells
bkeepers
PRO
340
57k
Easily Structure & Communicate Ideas using Wireframe
afnizarnur
194
16k
A designer walks into a library…
pauljervisheath
209
24k
Leading Effective Engineering Teams in the AI Era
addyosmani
6
440
"I'm Feeling Lucky" - Building Great Search Experiences for Today's Users (#IAC19)
danielanewman
230
22k
Exploring the Power of Turbo Streams & Action Cable | RailsConf2023
kevinliebholz
35
6.1k
Unsuck your backbone
ammeep
671
58k
Building Applications with DynamoDB
mza
96
6.7k
Raft: Consensus for Rubyists
vanstee
140
7.1k
Navigating Team Friction
lara
190
15k
Become a Pro
speakerdeck
PRO
29
5.5k
Transcript
8IZ4IPVME*5SVTU:PV &YQMBJOJOHUIF1SFEJDUJPOTPG "OZ$MBTTJGJFS /*14,%%ಡΈձˏૣҴా ాݚ# ాେւ
հ͢Δจ 2
͜ͷจʹ͓͚Δߩݙ ϢʔβʔͷػցֶशϞσϧͷཧղΛॿ͚ΔͨΊɺҙͷ ̎ผثΛlઆ໌z͢Δख๏ɺ-*.&Λ։ൃ 3 CMBDLCPYDMBTTJGJFS FYQMBJOXJUI-*.&
എܠ üػցֶशͷϞσϧɺݱ࣮ͷෳࡶ͞Λөͯ͠ෳࡶͳ ͷ͕ߴਫ਼ɺFHχϡʔϥϧωοτ ü͔͠͠ɺػցֶशϞσϧΛݱ࣮ͷγεςϜʹΈࠐΉ ʹϢʔβʔ͕ͦͷϞσϧΛ৴༻͢Δඞཁ͕͋Δ 4
̎ͭͷFYQMBOBUJPO üFYQMBJOQSFEJDUJPOT § σʔλ̍ͭʹରͯ͠ɺͳͥͦͷ݁Ռ͕ಘΒΕ͔ͨʁ ʢ-*.&ʣ üFYQMBJONPEFMT § ผث͕Ͳ͏͍͏ੑ࣭Λ͍ͬͯΔͷ͔ʁʢ41-*.&ʣ 5
ղऍՄೳͱʁ ü͍ͬͯΔGFBUVSFT͕ղऍՄೳ § ୯ޠͷ͋Δɺͳ͠㱺ղऍՄೳ § XPSEFNCFEEJOH㱺ղऍ͕͍͠ üϞσϧ͕ղऍՄೳ § ઢܗϞσϧ㱺ղऍՄೳ §
ඇઢܗϞσϧ㱺ղऍ͕͍͠ʢ͜ͱ͕ଟ͍ʣ 6
-*.&r JOUFSQSFUBCMFEBUBSFQSFTFOUBUJPOT ü0SJHJOBMEBUBSFQSFTFOUBUJPO ∈ ℝ$ FH XPSEFNCFEEJOH UFYU UFOTPSXJUIDPMPSDIBOOFMT JNBHF
ü*OUFSQSFUBCMFEBUBSFQSFTFOUBUJPO ∈ {0,1}$* FH QSFTFODFBCTFODFPGXPSET UFYU QSFTFODFBCTFODFPGTVQFSQJYDFMT UFYU 7
-*.&r ,FZ*EFB ü-*.& -PDBM*OUFSQSFUBCMF.PEFMBHOPTUJD &YQMBOBUJPOT § ͦΕͧΕͷσʔλʹରͯ͠ɺۙͰղऍ͍ͨ͠Ϟσϧͱಉ ͡Α͏ͳৼΔ͍Λ͢ΔղऍՄೳͳઢܗϞσϧΛಘͯɺͦΕ Λ༻͍ͯղऍ͢Δ 8
-*.& తؔ = argmin 3∈4 ℒ , , 9 +
Ω() G:ղऍՄೳͳϞσϧͷू߹ FHઢܗϞσϧ A = 3 ⋅ A ͷۙͰ ͱ͕Ͳͷ͘Β͍ ဃ͍ͯ͠Δ͔ ͷෳࡶ σʔλͷۙͰͰ͖Δ͚ͩݩͷෳࡶͳผثʹࣅͨৼΔ͍Λ͢Δ ղऍՄೳͳผثΛબͿ ℒ , , 9 = D 9 F,F*∈ − A I σʔλͱͷڑ ∶ ͷۙͷͷू߹ ෳࡶͷྫ Ω = ∞[ 3 N > ] K個より多くの単語/super pixelsを使う モデルはNG 9
-*.& ΞϧΰϦζϜ 10
-*.&ͷద༻ྫ จॻྨ üΩϦετڭ WTແਆ ͷจॻͷ47.Λ༻͍ͨྨ üҰݟਫ਼͕ྑͦ͞͏ͳϞσϧ͕࣮lྑ͘ͳ ͍zGFBUVSFTΛॏཁࢹ͍ͯ͠Δʢ3Fͱ͔ 11
-*.&ͷద༻ྫ ը૾ྨ üϑϨοτϘʔυͷ͍ͤͰΞίʔεςΟοΫΪλʔ͕Τ ϨΫτϦοΫΪλʔͱఆ͞Ε͍ͯΔͱΘ͔Δ 12
-*.& BMHPSJUIN 13
41-*.&r ,FZ*EFB üϞσϧͷFYQMBOBUJPO4VCNPEVMBS1JDL -*.& § Ϟσϧͷղऍʹ༗༻ͳσʔλϙΠϯτΛબͿΞϧΰϦζϜ § GFBUVSFͷDPWFSBHF͕࠷େʹͳΔΑ͏ʹબͿ GFBUVSFT EBUBQPJOUT
14
41-*.& తؔ ü 'FBUVSF*NQPSUBODF S = D US , U
US = 3US 3US ɿJݸͷσʔλͷKݸͷGFBUVSFʹରԠ͢Δ-*.&ͷॏΈ ü తؔ ରԠ͢Δ'FBUVSF*NQPSUBODFS ͷ߹ܭ͕࠷େͱͳΔΑ͏ͳσʔλͷ ू߹ΛબͿʢ σʔλͷݸ ҎԼʣ , , = D ∃U∈[:\]^_` S $* S_a , = argmax [,|[|gh (, , ) .BYJNVNXFJHIUFEDPWFSBHF㱺 /1IBSE<'FJHF > ͔͠͠ɺTVCNPEVMBSJUZΑΓHSFFEZΞϧΰϦζϜʹ1/ཧอূ <,SBVTF > 15
41-*.&BMHPSJUIN 16
γϛϡϨʔγϣϯ࣮ݧ üEBUBTFUCPPLT%7%T TFOUJNFOUBOBMZTJT EBUBTFU QPTOFH "SFUIFFYQMBOBUJPOTGBJUIGVMUPUIFNPEFM § -*.&దͳGFBUVSFTΛऔͬͯ͜ΕΔͷ͔ʁ
4IPVME*USVTUUIJTQSFEJDUJPO § -*.&ʹΑͬͯϢʔβʔͷQSFEJDUJPOͷUSVTU্͢Δ ͔ʁ $BO*USVTUUIJTNPEFM § -*.&41ผثͷྑ͠ѱ͠ͷධՁʹʹཱ͔ͭʁ 17
"SFUIFFYQMBOBUJPOTGBJUIGVMUPUIFNPEFM ü-*.&ͷFYQMBOBUJPO͕ͲͷఔlGBJUIGVMz͔ʁΛͦͦղऍՄೳ ͳྨثͷղऍʹΑΓ͔֬ΊΔ ü4QBSTF-PHJTUJD3FHSFTTJPO %FDJTJPO5SFFΛݸͷGFBUVSFT ͷΈΛ͏Α͏ʹ܇࿅͢Δ ü-*.&ͰݸͷGFBUVSFTΛநग़ͯ͠ΈͯɺSFDBMMΛධՁ 18
4IPVME*USVTUUIJTQSFEJDUJPO 19 ü-*.&ͰQSFEJDUJPO͕USVTUXPSUIZ͔Ͳ͏͔Λݟ͚ΒΕΔ͔ʁ üͷGFBUVSFTΛVOUSVTUXPSUIZͳͷͱ͢Δ § FHOFXTHSPVQʹ͓͚ΔIFBEFSใͱ͔Λఆ üղऍ͍ͨ͠Ϟσϧʹ͓͍ͯɺVOUSVTUXPSUIZͳGFBUVSFTΛআ͘ͱ ݁Ռ͕มΘΔQSFEJDUJPOΛVOUSVTUXPSUIZJOTUBODFͱݺͿ ü-*.&ʹ͓͍ͯɺ VOUSVTUXPSUIZJOTUBODFͰVOUSVTUXPSUIZ
GFBUVSFTΛআ͍ͨͱ͖ʹ݁Ռ͕ͪΌΜͱมΘΔʢʹ VOUSVTUXPSUIZQSFEJDUJPOͱఆͰ͖Δʣͷ͔ʁ
$BO*USVTUUIJTNPEFM ü41-*.&ΛͬͯผثΛղऍͨ͠ΒɺHFOFSBMJ[BUJPOFSSPS͕ খ͍͞ํΛબΔͷ͔ʁ üσʔλʹBSUJGJDJBMGFBUVSFTΛՃ͑Δ § WBMJEBUJPOTFUͰͦΕͧΕͷΫϥεʹ § UFTUTFUͰͦΕͧΕͷΫϥεʹ üWBMJEBUJPOTFUͰͷBDDVSBDZͷ͕ࠩະຬɺ UFTUTFUͰ
Ҏ্ʹͳΔΑ͏ʹSBOEPNGPSFTUΛ܇࿅ ü41-*.&Λ༻͍ͯWBMJEBUJPOTFUͰͷVOUSVTUXPSUIZͳQSFEJDUJPO ͕গͳ͍ผثΛྑ͍ผثͱͯ͠બͼɺͦΕ͕UFTUTFUͰྑ͍ ੑೳͷผثͱҰக͢Δ͔ʁ 20
ਓΛ࣮ͬͨݧ $BOVTFSTTFMFDUUIFCFTUDMBTTJGJFS § 41-*.&Ͱ൚Խੑೳͷߴ͍ྨثΛબΔ͔ʁ $BOOPOFYQFSUTJNQSPWFBDMBTTJGJFS § 41-*.&ͰGFBUVSFFOHJOFFSJOHΛͯ͠ྨثͷੑೳΛ্͛Ε Δ͔ʁ
%PFYQMBOBUJPOTMFBEUPJOTJHIUT § 41-*.&ͰมͳྨثΛݕͰ͖Δ͔ʁ 21
࣮ݧઃఆ %BUBTFU l$ISJTUJBOJUZzBOEl"UIFJTNzEPDVNFOUTGSPNUIF OFXTHSPVQT ͔͠͠ɺมͳGFBUVSF͕͋Δ͔Β൚ԽੑೳͷධՁʹ͍͍ͯͳ͍ 㱺ผͷXFCTJUF͔Β࡞ͨ͠σʔληοτͰ൚ԽੑೳΛධՁ ྨث มͳGFBUVSFTΛআ͍ͨσʔληοτͱআ͔ͳ͍σʔληοτͷ̎ͭ
Ͱ47.Λ܇࿅ WBMJEBUJPOTFUͰআ͔ͳ͍΄͏ͷ47.͕ߴੑೳ͕ͩUFTUTFUͰ আ͍ͨํ͕ߴੑೳ 22
$BOVTFSTTFMFDUUIFCFTUDMBTTJGJFS ü"NB[PO.FDIBOJDBM5VSLΛͬͯػցֶशͷඇઐՈʢͨͩ ͠फڭʹؔͯ͠جຊతͳ͕ࣝ͋Δਓʣʹ41-*.&Λͬͯྑ ͦ͞͏ͳผثΛબΜͰΒ͏ 23
$BOOPOFYQFSUTJNQSPWFBDMBTTJGJFS üಉ༷ʹɺ ػցֶशͷඇઐՈʹ41-*.&Λͬͯআ͘ ͖GFBUVSFTΛબΜͰΒ͏ɺΛ̏ϥϯυ܁Γฦ͠ ͯGFBUVSFFOHJOFFSJOH 24
%PFYQMBOBUJPOTMFBEUPJOTJHIUT üΦΦΧϛͱϋεΩʔݘͷྨ ઇ͕എܠʹ͋ΔΦΦΧϛͷը૾ͱഎܠʹͳ͍ϋεΩʔݘͷը૾Λ܇ ࿅σʔλͱͯ͠༩͑ͯɺੑೳͷѱ͍ผثΛ࡞ 25
%PFYQMBOBUJPOTMFBEUPJOTJHIUT ͷ͕ͭਖ਼͍͠༧ଌΛ͢Δඃݧऀʹݟͤͯɺ § ͜ͷΞϧΰϦζϜ࣮ੈքͰͪΌΜͱಇ͔͘ʁ § ͦΕͳ͔ͥʁ § ͜ͷΞϧΰϦζϜͲ͏ͬͯผΛߦ͍ͬͯΔͱࢥ͏͔ʁ ͱ࣭ ͦͷޙɺFYQMBOBUJPOͷ݁ՌΛݟͤͯಉ༷ͷ࣭
26 ൚Խੑೳِ૬ؔͳͲͷ֓೦ΛΒͳ͍ػցֶशͷඇઐ ՈͰྑ͘ͳ͍ผثΛఆ͢Δ͜ͱ͕Ͱ͖ͨ
'VUVSFXPSLT ü4QBSTF-JOFBS.PEFMҎ֎ͷFYQMBJOFS § EFDJTJPOUSFFͱ͔ üUIFPSFUJDBMQSPQFSUZPG-*.& ü41-*.&GPSJNBHF 27
·ͱΊ üҙͷ̎ྨثͷղऍʹ༻͍Δ͜ͱͷग़དྷΔख๏ɺ -*.&41-*.&ΛఏҊ üγϛϡϨʔγϣϯඇઐՈʹΑΔ࣮ݧʹΑͬͯͦͷ༗ ༻ੑΛ͔֬Ίͨ 28
3FGFSFODFT ü %#BFISFOT 54DISPFUFS 4)BSNFMJOH .,BXBOBCF , )BOTFO BOE,3.VMMFS)PXUPFYQMBJO JOEJWJEVBMDMBTTJGJDBUJPO
EFDJTJPOT+PVSOBMPG.BDIJOF-FBSOJOH 3FTFBSDI ü 6'FJHF"UISFTIPMEPGMOOGPSBQQSPYJNBUJOHTFUDPWFS+ "$. +VMZ ü )BSB 4 )BZBTIJ , .BLJOH5SFF&OTFNCMFT *OUFSQSFUBCMF"#BZFTJBO.PEFM4FMFDUJPO"QQSPBDI r ü ,JN # ,IBOOB 3 ,PZFKP 0 OE &YBNQMFTBSFOPU &OPVHI -FBSOUP$SJUJDJ[F$SJUJDJTNGPS*OUFSQSFUBCJMJUZ ü ",SBVTFBOE%(PMPWJO4VCNPEVMBSGVODUJPONBYJNJ[BUJPO *O5SBDUBCJMJUZ1SBDUJDBM"QQSPBDIFTUP)BSE1SPCMFNT $BNCSJEHF6OJWFSTJUZ1SFTT 'FCSVBSZ ü 3JCFJSP .5 4JOHI 4 (VFTUSJO $ l8IZ4IPVME* 5SVTU:PV z&YQMBJOJOHUIF1SFEJDUJPOTPG"OZ$MBTTJGJFS 1SPDFFEJOHTPGUIFOE"$.4*(,%%*OUFSOBUJPOBM $POGFSFODFPO,OPXMFEHF%JTDPWFSZBOE%BUB.JOJOH ,%% ` r 29