$30 off During Our Annual Pro Sale. View Details »
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
PLDI '21論文読み会: Cyclic Program Synthesis
Search
Idein
June 08, 2022
Research
0
1.6k
PLDI '21論文読み会: Cyclic Program Synthesis
Idein
June 08, 2022
Tweet
Share
More Decks by Idein
See All by Idein
PLDI '21論文読み会: DNNFusion: Accelerating Deep Neural Networks Execution with Advanced Operator Fusion
ideininc
1
1.9k
PLDI '21論文読み会: AKG: Automatic Kernel Generation for Neural Processing Units using Polyhedral Transformations
ideininc
0
1.7k
PLDI '21論文読み会: Specification Synthesis with Constrainted Horn Clauses
ideininc
0
1.6k
PLDI '21論文読み会: High Performance Correctly Rounded Math Libraries for 32-bit Floating Point Representations
ideininc
0
1.6k
PLDI '21論文読み会: Quantum Abstract Interpretation
ideininc
0
1.5k
PLDI '21論文読み会: Provable Repair of Deep Neural Networks
ideininc
2
1.8k
会社紹介資料/Idein株式会社
ideininc
0
50k
Other Decks in Research
See All in Research
学習型データ構造:機械学習を内包する新しいデータ構造の設計と解析
matsui_528
5
2.2k
Community Driveプロジェクト(CDPJ)の中間報告
smartfukushilab1
0
110
思いつきが武器になる:研究というゲームを始めよう / Ideas Are Your Equipments : Let the Game of Research Begin!
ks91
PRO
0
110
さまざまなAgent FrameworkとAIエージェントの評価
ymd65536
1
370
AIグラフィックデザインの進化:断片から統合(One Piece)へ / From Fragment to One Piece: A Survey on AI-Driven Graphic Design
shunk031
0
580
Time to Cash: The Full Stack Breakdown of Modern ATM Attacks
ratatata
0
180
ロボット学習における大規模検索技術の展開と応用
denkiwakame
1
180
Tiaccoon: Unified Access Control with Multiple Transports in Container Networks
hiroyaonoe
0
200
GPUを利用したStein Particle Filterによる点群6自由度モンテカルロSLAM
takuminakao
0
700
Satellites Reveal Mobility: A Commuting Origin-destination Flow Generator for Global Cities
satai
3
250
Mamba-in-Mamba: Centralized Mamba-Cross-Scan in Tokenized Mamba Model for Hyperspectral Image Classification
satai
3
340
自動運転におけるデータ駆動型AIに対する安全性の考え方 / Safety Engineering for Data-Driven AI in Autonomous Driving Systems
ishikawafyu
0
110
Featured
See All Featured
Mobile First: as difficult as doing things right
swwweet
225
10k
Neural Spatial Audio Processing for Sound Field Analysis and Control
skoyamalab
0
130
Optimising Largest Contentful Paint
csswizardry
37
3.5k
More Than Pixels: Becoming A User Experience Designer
marktimemedia
2
260
Unsuck your backbone
ammeep
671
58k
How People are Using Generative and Agentic AI to Supercharge Their Products, Projects, Services and Value Streams Today
helenjbeal
1
80
Dominate Local Search Results - an insider guide to GBP, reviews, and Local SEO
greggifford
PRO
0
17
Building Applications with DynamoDB
mza
96
6.8k
Breaking role norms: Why Content Design is so much more than writing copy - Taylor Woolridge
uxyall
0
120
Making Projects Easy
brettharned
120
6.5k
Marketing to machines
jonoalderson
1
4.3k
Leveraging LLMs for student feedback in introductory data science courses - posit::conf(2025)
minecr
0
88
Transcript
୲ߐޱ $ZDMJD1SPHSBN4ZOUIFTJT 1-%*ಡΈձ!*EFJO
EFEVDUJWFQSPHSBNTZOUIFTJT ༩͑ΒΕ༷ͨΛຬͨ͢ϓϩάϥϜΛࣗಈͰߏ͢ΔλεΫ ਖ਼͕͠͞ূ໌͞Ε͍ͯΔ
ݚڀ֓ཁ ࠶ؼతͳิॿؔΛؚΉIFBQNBOJQVMBUJOHQSPHSBNͷࣗಈੜ w $ZDMJD1SPPGͷٕज़ΛϓϩάϥϜ߹ʹԠ༻
എܠ
ϓϩάϥϜͷ༷ 4FQBSBUJPOMPHJD w ϙΠϯλɺࢀরͳͲΛ͏ϓϩάϥϜͷঢ়ଶมԽΛදݱͰ͖Δཧ w ࠶ؼతͳड़ޠΛͬͯɺ༷ʑͳσʔλߏΛදݱͰ͖Δ
طଘݚڀ4VT-JD 4USVDUVSJOHUIFTZOUIFTJTPGIFBQNBOJQVMBUJOHQSPHSBNT<101-> w 4FQBSBUJPOMPHJDΛ༷ʹ$MJLFͳ࠶ؼؔΛੜ w 4ZOUIFUJD4FQBSBUJPO-PHJD ͱ͍͏ϓϩάϥϜੜ༻ͷਪମܥΛ࡞ SSL ˎϒϥβ্ͰࢼͤΔ
ɹIUUQDPNDPNDTBJMNJUFEVDPNDPN4V4-JL
طଘݚڀ4VT-JD ͷݶք ิॿ͖ؔϓϩάϥϜΛੜͰ͖ͳ͍ ྫҎԼͷੜࣦഊ͢Δ ˎMJTUBQQFOEΛߦ͏࠶ؼతͳ͕ؔඞཁʹͳΔҝ Ұൠతʹɺิॿؔͷ༷ΛࣗಈͰݟ͚ͭΔͷ͍͠ ɹূ໌୳ࡧͷ؍Ͱɺؼೲ๏͕ճΔΑ͏ʹదʹิΛੜ͢Δ͜ͱʹରԠ
ఏҊख๏
ఏҊख๏ w DZDMJDQSPPGΛ༻͍ͯ ͱ͍͏ਪମܥΛߟҊ w 4VT-J,ͷ Λ֦ு w ্Ͱূ໌Λ୳ࡧ͠ɺϓϩάϥϜΛੜ͢Δ w
ิॿ͖ؔϓϩάϥϜͷੜ͕Մೳʹ SSL↺ SSL SSL↺
$ZDMJDQSPPG "O*OUSPEVDUJPOUP$ZDMJD1SPPGTΑΓ IUUQXXXDTVDMBDVLTUB ff +#SPUIFSTUPOTMJEFT 1"3*4@'-P$@@@QBSUQEG ॥Λڐ͢ূ໌ମܥ ূ໌ͷ-FBG෦ͱผͷOPEFͷzCBDLMJOLz͕࡞ΕΔ w ॥ͷํʹ੍Λ՝͢
ɹɹʮ॥ͷதͰূ໌͕lਐΜͰ͍ΔzʯΈ͍ͨͳ੍ ˎࣗ༝ʹ॥ΛڐͤԿͰূ໌Ͱ͖ͯ͠·͏ w ূ໌୳ࡧͱͷ૬ੑ͕ྑ͍෦͕͋Δ w POEFNBOEʹؼೲ๏͕ճͤΔ
SSL↺ w ͷ֦ு w ҎԼͷ߲̐ؔΛಋग़͢Δূ໌ମܥ SSL Γ; 𝒫 ⇝ 𝒬
∣ c ࣄલ݅ ࣄޙ݅ มڥ ͔ Ͱଋറ ∀ ∃ ϓϩάϥϜ w ྫ w ߏจৄࡉ จͷ'JHVSF ∀r, s, x∃y; {r ↦ x * tree(x, s)} ⇝ {r ↦ y * sll(y, s)} ∣ fl BUUFO S
ͷಋग़نଇൈਮ SSL↺ ʹಉ༷ͳͷ͋Δͷ SSL
ͷಋग़نଇൈਮ SSL↺ ಠࣗͷͷ ؔݺͼग़͠पΓ ͜Εؔݺͼग़͠ͷ४උͷͨΊͷSVMFɹ 8SJUFϧʔϧ Λಋ༷͘ʹ͔͑͠ͳ͍ͷͰඞཁ Q ؔݺͼग़͠ ࣗମ͕ੜͷରʹͳ͍ͬͯΔ
f(¯ x)
USFF'MBUUFOͷಋग़ w fl BUUFOͷ࠶ؼݺͼग़͠ʹରԠ w ิॿؔBQQFOEͷ࠶ؼʹରԠ
w BQQFOEҎԼͷΑ͏ʹൃݟ͞ΕΔ ೋͭͷ Λͨ͠ޙ B Λ͞Βʹల։3FBEͨ͠ޙ C C ͔Β B ͷ$BMM͕ద༻Ͱ͖Δ͜ͱʹؾ͘ D ͷ༷ʹQSPDΛૠೖ͠CBDLMJOLΛ࡞Δ flatten() sll(yl, sl )
ؔݺͼग़͠ͷੜ ީิΛ fi Y͞Ε্ͨͰɺҎԼͷඇܾఆੑ͕͋Δ w ೖ w Γύʔτ ͷબ
w TFUVQ෦ ͷੜ σ R c1 ީิͱͳΔCBDLMJOLઌ DPNQBOJPO શͯΛࢼ͢
ؔݺͼग़͠ͷੜ S` Y`GSFTIͳ ଋറ͞Εͨม ∃ ͷTVCTFU QSFIFBQ͕ͬͯྑ͍WFSTJPOͷFNQنଇ Ͱผ్ੜΛղ͘ SSL↺
ྫࠨਤͷ ͷ෦ͷੜ ͷಋग़͔Β FNQنଇͰͬͨ෦͕ TFUVQϓϩάϥϜ ͕ಘΒΕΔ ∃ σ R c
ධՁ
࣮ݧ݁Ռ w ࠶ؼతͳิॿ͖ؔͷϓϩάϥϜ w ࠨਤͷͱҎ֎ w zDPNQMFYUFSNJOBUJPONFUSJDzΛඞཁͱ ͢Δͷ w ͱ
w ૬ޓ࠶ؼతͳϓϩάϥϜ w w ͱ͕૬ޓ࠶ؼʹͳΔͷਓؒͷ ײ֮ͱͣΕΔʣ ༷ʑͳlෳࡶͳzϓϩάϥϜͷੜʹޭ
ϕϯνϚʔΫྫMJTUJOQMBDFTPSU
ϕϯνϚʔΫྫMJTUJOQMBDFTPSU ༨ஊTPSUͷఆ͕ٛΑ͔͘Βͳ͍ ˣͳͲͰμϝͳͷ͔ 5FDIOJDBMQBQFSͷ"QQFOEJOH$ʹҎԼͷهࡌ
ϕϯνϚʔΫྫVOJRVFMJTUJOUFSTFDUJPO ҎԼͷΑ͏ͳTJNQMFͳ༷Ͱੜʹࣦഊ͢Δ ҎԼͷΑ͏ͳFMFN͕ؔੜͰ͖Εྑ͍͕ɺ ख๏ͷݶքΛ͑Δ ͜ͷ࣌ͰɺZEFTUSVDUͯ͠ΔͷͰYΛSʹՃ͑ͯྑ͍͔Δखஈ͕ͳ͍ ҎԼͷΑ͏ʹ୳ࡧ͢Δ͕ɺɺ
ϕϯνϚʔΫྫVOJRVFMJTUJOUFSTFDUJPO ZΛEFTUSVDU͠ͳ͍Α͏QPTUDPOEJUJPOʹڧΊΕޭ͢Δ ͕ɺҎԼͷΑ͏ͳzී௨ͷz࣮ੜ͞Εͳ͍ʢͰ͖ͳ͍ʣ ͜͜Ͱิॿؔͷ༷ͷQSFDPOEJUJPOͷ݅Λ؇ΊΔඞཁ͕͋ΓɺఏҊख๏ͰͰ͖ͳ͍ ΘΓʹɺzී௨ͱఔԕ͍zϓϩάϥϜ͕ੜ͞ΕΔ ஶऀୡͰ͢ΒผͷϓϩάϥϜݕূػΛͬͯਖ਼͠͞Λ͔֬ΊΔఔ
MJNJUBUJPO w ੜͰ͖Δิॿؔʹ੍ݶ͋Γ w ৽ͨͳEBUBߏΛ͏ͷɺBDDVNVMBUPSͳͲՃҾΛ͏Α͏ͳͷੜ Ͱ͖ͳ͍ w ิॿؔͷ༷ΛదʹzҰൠԽzͰ͖ͳ͍ʢJOUFSTFDUͷྫʹ༷͋ͬͨʹʣ w ੜίʔυͷύϑΥʔϚϯεอূ͞Εͳ͍
w MPPQͷαϙʔτ͕ͳ͍ w ඌ࠶ؼΛੜ͢ΔΈΛ࡞Εྑ͍͕ɺదͳBDDVNVMBUPSΛੜ͢Δඞཁ͕ ͋Δͷ͕͍͠
·ͱΊ w ࠶ؼతͳิॿؔΛؚΉIFBQNBOJQVMBUJOHQSPHSBNͷࣗಈੜ w $ZDMJD1SPPGͷٕज़ΛϓϩάϥϜ߹ʹԠ༻ w ϓϩάϥϜ߹πʔϧʢ$ZQSFTTʣΛ࣮ w ૬ޓ࠶ؼؚΉิॿ͖ؔϓϩάϥϜͷੜʹޭ