Upgrade to Pro — share decks privately, control downloads, hide ads and more …

Learning 
Cross-modal Embeddings
 for Cooking R...

Avatar for Leszek Rybicki Leszek Rybicki
August 06, 2017
Research
800
1

Learning 
Cross-modal Embeddings
 for Cooking Recipes 
and Food Images

Review and presentation of the Image to Recipe paper and model

Avatar for Leszek Rybicki

Leszek Rybicki

August 06, 2017

More Decks by Leszek Rybicki

See All by Leszek Rybicki
Let's talk about Fakes
Avatar for Leszek Rybicki lunardog
0
180
How to Patch Image Classifiers
Avatar for Leszek Rybicki lunardog
0
2.9k
Towards Realistic Predictors - EN
Avatar for Leszek Rybicki lunardog
0
2.7k
Towards Realistic Predictors
Avatar for Leszek Rybicki lunardog
1
2.6k
Deep Learning Hot Dog Detector
Avatar for Leszek Rybicki lunardog
0
320
Finding beans in burgers: paper reading notes
Avatar for Leszek Rybicki lunardog
0
2k
Kelner: Serve Your Models
Avatar for Leszek Rybicki lunardog
0
160
Image Analysis at Cookpad
Avatar for Leszek Rybicki lunardog
1
2.1k
Kelner: serve your models
Avatar for Leszek Rybicki lunardog
1
430

Other Decks in Research

See All in Research
kintone リサーチ副部/UXリサーチャー 業務紹介
Avatar for Cybozu cybozuinsideout
PRO
0
130
敵対生成プロンプト同時探索による内省型プロンプト最適化
Avatar for Kotaro Inoue kinoue_smarthr
0
350
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
Avatar for Shunsuke KITADA shunk031
0
160
nlp2026 In-Context Learningに基づく経路案内のための地理的知識の活用方法に関する検討
Avatar for Takashi INUI takashiinui
0
120
シングルチャネルマルチトーカー音声認識の進展
Avatar for Ryo Masumura ryomasumura
0
210
260624_NLP-colloquium: Hubness
Avatar for Hiroyuki Deguchi de9uch1
1
170
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Avatar for Shunsuke KITADA shunk031
4
1.2k
羽田新ルート運用6年の検証
Avatar for マン点 1manken
0
190
SLAMはどこまで解決されたのか？
Avatar for tomonom tomonom
0
1.1k
第12回人と環境にやさしい交通をめざす全国大会／熊本都市圏「車1割削減、渋滞半減、公共交通2倍」をめざして
Avatar for Traffic Brain trafficbrain
0
140
National high-resolution cropland classification of Japan with agricultural census information and multi-temporal multi-modality datasets
Avatar for SatAI.challenge satai
3
410
[BlackHatAsia2026] Hidden Telemetry: Uncovering TraceLogging ETW Providers You're Not Using (Yet)
Avatar for Asuka Nakajima asuna_jp
1
640

Featured

See All Featured
sira's awesome portfolio website redesign presentation
Avatar for ElsiraPls elsirapls
0
320
Being A Developer After 40
Avatar for Adrian Kosmaczewski akosma
91
590k
How to Ace a Technical Interview
Avatar for Jacob Kaplan-Moss jacobian
281
24k
Documentation Writing (for coders)
Avatar for Carmen Chung carmenintech
77
5.4k
Refactoring Trust on Your Teams (GOTO; Chicago 2020)
Avatar for Rebecca Miller-Webster rmw
35
3.7k
Leo the Paperboy
Avatar for Maya Tellez mayatellez
8
2.1k
Rebuilding a faster, lazier Slack
Avatar for samanthasiow samanthasiow
85
9.6k
Heart Work Chapter 1 - Part 1
Avatar for Lake Fama lfama
PRO
8
36k
The Cost Of JavaScript in 2023
Avatar for Addy Osmani addyosmani
55
10k
Claude Code どこまでも/ Claude Code Everywhere
Avatar for nwiizo nwiizo
66
57k
Principles of Awesome APIs and How to Build Them.
Avatar for Keavy McMinn keavy
128
18k
Amusing Abliteration
Avatar for ianozsvald ianozsvald
1
240

Transcript

  1. -FBSOJOH
 $SPTTNPEBM&NCFEEJOHT
 GPS$PPLJOH3FDJQFT
 BOE'PPE*NBHFT 2017.08.06 KantoCV #41

  2. w -FT[FL ϨγΣοΫ  w ϙʔϥϯυग़਎ w ΫοΫύουͷݚڀ։ൃ෦ w ը૾ղੳ

    w ϙʔϥϯυͷΫοΫύου Ͱˌ̍ͷϨγϐɿ
 ๻ͷϐΤϩΪ ࣗݾ঺հ

  3. 2VJ[

  4. A D G J B E H K C I

    F

  5. A D G J B E H K C I

    F

  6. C B A 1 2 3

  7. C B A 1 2 3

  8. C B A 1 2 3

  9. C B A 1 2 3

  10. A B C D E F G

  11. A B C D E F G

  12. w $MBTTJpDBUJPOPGSFDJQFT JT)"3% w *NBHFSFDPHOJUJPOPO GPPEJT)"3% w JOUSBDMBTTWBSJFUZ w JOUFSDMBTTTJNJMBSJUZ

    w 5IFFYJTUJOHEBUBTFUT BSF4."-- w 5PPNBOZJOHSFEJFOUT w $VMUVSBMCJBTFT w &YJTUJOHTPMVUJPOTIBWF MPXBDDVSBDZ http://www.robotshop.com/

  13. July 20, 2017

  14. July 20, 2017

  15. July 20, 2017

  16. July 20, 2017

  17. July 20, 2017

  18. July 20, 2017

  19. 3FDJQF. %BUBTFU

  20. None
  21. None

  22. https://cookpad.com/recipe/1758645

  23. %BUBTFU w EJ⒎FSFOUTJUFTBTTPVSDF JODM$PPLQBE  w NSFDJQFTBOELJNBHFT w PGSFDJQFUJUMFTBSFOPUVOJRVF w

    BWFSBHFSFDJQFIBTJOHSFEJFOUT w PGJOHSFEJFOUT JOSFDJQFT w TPNFSFDJQFTBSFPOFTUFQ 
 TPNFDPOUBJOTVCSFDJQFT w TPNFGPPEUZQFTBSFWFSZQPQVMBS
 DIPDPMBUFDIJQDPPLJFT

  24. &NCFEEJOH

  25. TGEKRGURCEG KOCIGURCEG LQKPVGODGFFKPIURCEG UOQQVJKGU ITCVKPU UWUJK JCODWTIGTU */56*5*0/

  26. .PEFM0WFSWJFX

  27. w XPSEWFDPOJOHSFEJFOUT w UCTQPGPMJWFPJM w PMJWF@PJM CFMM@QFQQFS CMBDL@QFQQFS w CJEJSFDUJPOBM-45.

  28. w TLJQJOTUSVDUJPOT-45.PO-45. w SFDJQFTUBSUBOEFOENBSLFST w DPODBUFOBUFpOBMFODPEJOHXJUIUIF JOHSFEJFOUFODPEJOH

  29. w UFTUFE7((BOE3FT/FU w DMBTTJpDBUJPOˠFNCFEEJOHMBZFS w *NBHF/FUQSFUSBJOFE pOFUVOFE w USBJOFETFQBSBUFMZGSPNUFYU

  30. w NBUDIJOHQBJSTNJYFEQBJST w 

  31. w 'PPEDBUFHPSJFTHVFTTFEGSPNSFDJQFUJUMF w FNCFEEJOHˠDBUFHPSZDMBTTJpFS w JGTBNFDBUFHPSZLreg  w λ 

  32. 5PUBMMPTTGVODUJPO

  33. &YQFSJNFOUT

  34. JNBHFˠSFDJQF

  35. SFDJQFˠJNBHF

  36. None

  37. #FUUFSUIBO)VNBO

  38. %&.0 http://wednesday.csail.mit.edu: 4242/

  39. 6OJU"DUJWBUJPOT

  40. XPSEWFDNBUI http://www.samyzaf.com/ML/nlp/nlp.html

  41. XPSEWFDNBUI man - king + woman = queen cats -

    cat + dog = dogs France - Paris + England = London London - England + Italy = Rome Italy - Rome + Paris = France

  42. .BUIPO3FDJQFT

  43. .BUIPO*NBHFT

  44. $SPTTNPEBM

  45. w 3FDJQF.EBUBTFU w JNBHFˠSFDJQF w SFDJQFˠJNBHF w CFUUFSUIBOIVNBO w JOHSFEJFOUEFUFDUJPO

    w SFDJQFBSJUINFUJD http://www.robotshop.com/ ·ͱΊ

  46. Ҏ্