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
Optimization as a Model for Few-Shot Learning -...
Search
Hokuto Kagaya
June 16, 2017
Science
1.4k
2
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Optimization as a Model for Few-Shot Learning - ICLR 2017 reading seminar
Hokuto Kagaya
June 16, 2017
More Decks by Hokuto Kagaya
See All by Hokuto Kagaya
LINE Bot ✕ Chainer - low-carb recipe bot -
hokkun
0
1.3k
Other Decks in Science
See All in Science
機械学習 - DBSCAN
trycycle
PRO
0
1.9k
Build your own LLM, Live, with MicroGPT
ianozsvald
0
120
ハミルトン・ヤコビ方程式の解の性質と物理的意味
enakai00
0
850
データベース14: B+木 & ハッシュ索引
trycycle
PRO
0
880
AkarengaLT vol.41
hashimoto_kei
1
160
データベース11: 正規化(1/2) - 望ましくない関係スキーマ
trycycle
PRO
0
1.6k
Tensor Factorization Meets Deformed Information Geometry: Convex Relaxation under Deformed Algebra
gkazunii
0
120
Utiliser Bitcoin sans Internet
rlifchitz
0
310
因果推論と機械学習
sshimizu2006
1
1.3k
CVPR2026_VGGTとその仲間たち
mickey_0226
0
1k
20260220 OpenIDファウンデーション・ジャパン ご紹介 / 20260220 OpenID Foundation Japan Intro
oidfj
0
380
Testing the Longevity Bottleneck Hypothesis
chinson03
0
390
Featured
See All Featured
Designing for Timeless Needs
cassininazir
1
430
A Tale of Four Properties
chriscoyier
163
24k
Bootstrapping a Software Product
garrettdimon
PRO
307
120k
Accessibility Awareness
sabderemane
1
170
Building Adaptive Systems
keathley
44
3.2k
Organizational Design Perspectives: An Ontology of Organizational Design Elements
kimpetersen
PRO
1
790
How to audit for AI Accessibility on your Front & Back End
davetheseo
0
480
Ethics towards AI in product and experience design
skipperchong
2
340
So, you think you're a good person
axbom
PRO
2
2.1k
Build The Right Thing And Hit Your Dates
maggiecrowley
39
3.4k
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
21
1.6k
End of SEO as We Know It (SMX Advanced Version)
ipullrank
3
4.3k
Transcript
!%F/" 4IJCVZB)JLBSJF )PLVUP ,BHBZB !@IPLLVO@ 0QUJNJ[BUJPOBTB.PEFM GPS'FX4IPU-FBSOJOH
5-%3 • 1VSQPTF • #FUUFSJOGFSFODFGPSGFXTIPUPOFTIPUMFBSOJOH QSPCMFN • .FUIPE • .FUBMFBSOJOHCBTFEPO-45.PGEFFQOFVSBM
OFUXPSL • 3FTVMU • $PNQFUJUJWFXJUIEFFQNFUSJDMFBSOJOHUFDIOJRVFT
#BDLHSPVOE • 8IZEFFQMFBSOJOHTVDDFFEFE • NBDIJOFQPXFS • BNPVOUPGEBUB • -BSHF%BUBTFU
• *NBHF/FU *NBHF • .JDSPTPGU$0$0$BQUJPOT *NBHF$BQUJPO • :PV5VCF. 7JEFP • 8JLJ5FYU 5FYU
#BDLHSPVOE • )PXFWFS *ONBOZGJFMET UPDPMMFDUBMBSHF BNPVOUPGUSBJOJOHTBNQMFTJT • EJGGJDVMU •
&Y'JOFHSBJOFESFDPHOJUJPO DBS CJSE GPPE • UJNFDPOTVNJOH • TDSBQJOH DSBXMJOH BOOPUBUJOHʜ • "DUVBMMZIVNBOCFJOHTDBOHFOFSBMJ[FVTJOH GFXTBNQMFTPGUBSHFUT
1SPCMFN1VSQPTF • )PXDBOXFBDRVJSFHFOFSBMJ[FENPEFMVTJOH GFXTBNQMFTBOEBTFUOVNCFSPGVQEBUFT • &YJTUFEHSBEJFOUCBTFEUSBJOJOHBMHPSJUIN 4(% "%".
"EB(MBE EPFTOPUGJUUIFQSPCMFNXJUIB TFUOVNCFSPGQBSBNFUFSVQEBUFT • *OPUIFSTJNQMFXPSET BVUIPSTXBOUUPGJOE HPPEJOJUJBMQBSBNFUFSTPG// • DG SFWJFXDPNNFOUTJUJTNVDICFUUFSUPCFBCMFUP GJOEBSDIJUFDUVSBMQBSBNFUFSTPG//
1SPCMFN1VSQPTF • )PX • .FUBMFBSOJOH • -FBSOJOHUPMFBSO5SBJOMFBSOFSJUTFMG • "WBSJFUZPGNFUBMFBSOJOH
• 5SBOTGFSMFBSOJOH • 6TFUIFFYQFSJFODFTPGEJGGFSFOUEPNBJO • 1PQVMBSJOUIFGJFMEPGJNBHFDMBTTJGJDBUJPO FTQFDJBMMZGPS GJOFHSBJOFEWJTVBMDMBTTJGJDBUJPO • &OTFNCMFDMBTTJGJFS • DPNCJOFNVMUJQMFDMBTTJGJFS 5IJTBSUJDMFJTWFSZHPPEUPVOEFSTUBOENFUBMFBSOJOH IUUQIUUQXXXTDIPMBSQFEJBPSHBSUJDMF.FUBMFBSOJOH
1SPQPTFENFUIPE • -45.CBTFENFUBMFBSOJOH
1SFSFRVJTJUFT • 8IBUJT-45. • -POHUJNF4IPSU5FSN.FNPSZ • ࣌ܥྻΛѻ͍͍ͨɺͰޡ͕ࠩൃࢄফࣦͪ͠Ό͏ • աڈͷσʔλͷॏΈΛ̍ʹͯ͠Εͳ͍Α͏ʹ্ͨ͠ Ͱɺબతʹೖྗग़ྗΛߦ͏Α͏ʹͨ͠
b • ͔͠͠ٸܹͳঢ়گͷมԽʢʁʣʹରԠͰ͖ͳ͔ͬͨͷ Ͱɺ٫ήʔτΛઃஔ͢Δ͜ͱͰબతʹաڈͷσʔ λͷهԱΛফڈͰ͖ΔΑ͏ʹͨ͠ ` • ࢀߟʢຊޠʣ • IUUQRJJUBDPNU@4JHOVMMJUFNTCCFCGEC
%BUB4FQBSBUJPO • NFUBUSBJOEBUBTFU • NFUBUFTUEBUBTFU • NFUBTBNQMF UBSHFU USBJOJOH
TBNQMFT UBSHFU UFTUJOH TBNQMFT POFNFUBTBNQMF BLBFQJTPEF
1SPQPTFE.FUIPE " = "$% + )*+, ℒ" " =
" ⨀"$% + " ⨀̅" XIFSF " = (6 7 ? + b9 ) " = ; 7 ? + b< XIFSF ? DVSSFOUHSBEJFOUT DVSSFOUMPTT QSFWJPVT QSFWJPVTJUTFMG , /PSNBM4(% .FUBQIPS OPUDPOTUBOU UP FTDBQFGSPNCBE MPDBMPQUJNB
1SPQPTFE.FUIPE ←meta learner‘s iteration ←learner‘s iteration (meta) loss
value is computed by final state of LSTM (= parameters of target model) and "?@"’s data and labels.
1SPQPTFE.FUIPE • 'SPNBVUIPS`TTMJEF
1SPQPTFE.FUIPE • 8IBUXJMMCFJNQSPWFEHSBEVBMMZ • 'JSTU-45.QBSBNFUFS BLBNFUBMFBSOFS QBSBNFUFST • UIBUJT
zIPXTIPVMEXFVQEBUFUBSHFUNPEFMT z • 4FDPOE-45.TUBUFT PVUQVUT • 'JOBMA JTTIBSFEBNPOHFBDICBUDI TPMFBSOJOHQSPDFFET SBQJEMZUIBOLTGPSHPPEJOJUJBMJ[BUJPO
0UIFS5PQJDT • DPPSEJOBUFXJTF-45. • 1SFQSPDFTTJOHUP-45.JOQVUT • BCPVUCPUIUPQJDT TFF<"OESZDIPXJD[ /*14> QSFQSPDFTTJOHJTJOBQQFOEJY
• BEKVTUUIFTDBMJOHPGHSBEJFOUTBOEMPTTFT • TFQBSBUFJOGPPGNBHOJUVEFBOETJHO • #BUDIOPSNBMJ[BUJPO • BWPJEzEBUBTFUz FQJTPEF MFWFMMFBLBHFPG JOGPSNBUJPO • 3FMBUFEXPSLNFUSJDMFBSOJOH • FY4JBNFTFOFUXPSL
&WBMVBUJPO.FUIPE • #BTFMJOFOFBSFTUOFJHICPS • NFUBUSBJOUSBJOOFVSBMOFUXPSLVTJOHBMMTBNQMF • NFUBUFTUUSBJOJOHTBNQMFΛ//ʹͿͪ͜Μͩ݁Ռͱ UFTUJOHTBNQMFͷͦΕΛൺֱ • #BTFMJOFGJOFUVOF
• NFUBUSBJOʹՃ͑ͯɺ NFUBWBMJEBUJPO EBUBTFU Λ IZQFS QBSBNFUFSͷ୳ࡧʹ͍ɺ ͷ OFUXPSLΛ GJOFUVOF ͢Δ • #BTFMJOF.BUDIJOHOFUXPSL • ڑֶशͷ405"
&WBMVBUJPO3FTVMU
7JTVBMJ[BUJPOBOE*OTJHIU
7JTVBMJ[BUJPOBOE*OTJHIU • JOQVUHBUFT • EJGGFSFOUBNPOHEBUBTFUT • NFUBMFBSOFSJTO`UTJNQMZMFBSOJOHBGJYFEPQUJNJ[BUJPO TUSBUFHZ • EJGGFSFOUBNPOHUBTLT
• NFUBMFBSOFSIBTVTFEEJGGFSFOUXBZTUPTPMWFFBDI TFUUJOH • GPSHFUHBUFT • TJNQMFEFDBZ • ݁ہ΄ͱΜͲ DPOTUBOU
$PODMVTJPO • 'PVOE-45.CBTFENPEFMUPMFBSOBMFBSOFS XIJDIJTJOTQJSFECZBNFUBQIPSCFUXFFO 4(%VQEBUFTBOE-45. • 5SBJONFUBMFBSOFSUPEJTDPWFS • (PPEJOJUJBMJ[BUJPOPGMFBSOFS
• (PPENFDIBOJTNGPSVQEBUJOHMFBSOFS`T QBSBNFUFST • DPNQFUJUJWFFYQFSJNFOUBMSFTVMUXJUI405" NFUSJDMFBSOJOHNFUIPET
'VUVSFXPSL • GFXTBNQMFTMPUTPGDMBTTFT • NPSFDIBMMFOHJOHTDFOBSJPT • GSPNSFWJFXDPNNFOU • JUJTNVDICFUUFSUPCFBCMFUPGJOEBSDIJUFDUVSBM QBSBNFUFSTPG//
ॴײ • USBOTGFSMFBSOJOHʹ͓͚ΔʮผυϝΠϯͷܦݧ Λ׆͔͢ʯͱ͍͏࡞ۀΛʮ࣌ܥྻͷֶशʯతʹଊ ͑ͯ -45.Ϟσϧͱֶͯ͠शͨ͠ɺͱ͍͏ͷ ࣗવʹࢥ͑ͨ • ͢Ͱʹ͋ͬͨൃʁ࣌ؒͳؔ͘࿈ݚڀ·ͰಡΈࠐΊ ͣɻɻ
• SFWJFXDPNNFOUʹ͋ͬͨɺߏͷ࠷దԽ·Ͱ Ͱ͖Δͱ͘͢͝Αͦ͞͏ͩͱࢥͬͨ • γϯϓϧͳϑΟϧλΛͨ͘͞ΜॏͶΔͱ͍͍ͱ͍͏ ͋Δ͕ɻɻ • ֶ෦࣌ DVEBDPOWOFU Λͬͯͨ͘͞ΜϋΠύύϥ ϝʔλΛࢼͨۤ͠࿑͕ોͬͨ
ଟΘ͔ͬͯͳ͍͜ͱ • ݁ہɺ͜ͷจͰॳΊͯΘ͔ͬͨͷͲ͜ʁ -45.Λ MFBSOJOHUPMFBSOʹͬͨͷଟॳ Ίͯ͡Όͳ͍ʁ • ྫ͑ "OESZDIPXJD[ `
ͰɺޯΛೖྗʹͯ͠ UBSHFUMFBSOFSͷ QBSBNFUFSVQEBUFT Λग़ྗ͢Δ -45.Λֶश • ύϥϝλͦͷͷΛग़ྗͯ͠Δͱ͜Ζʁ