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
Conversion Prediction Using Multi-task Conditi...
Search
Takahiro Yoshinaga
June 04, 2019
Research
0
1.5k
Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives
社内分析会議での発表資料
Takahiro Yoshinaga
June 04, 2019
Tweet
Share
More Decks by Takahiro Yoshinaga
See All by Takahiro Yoshinaga
LINEヤフーでのプライバシーを 保護した機械学習事例紹介
yoshinaga0106
0
11
ビッグデータビジネスによる継続的な価値創造と人材育成
yoshinaga0106
0
140
社内LINE公式アカウント メッセージ送りすぎ問題を データサイエンスで解決する
yoshinaga0106
0
240
[ICML2021 論文読み会] A General Framework For Detecting Anomalous Inputs to DNN Classifiers
yoshinaga0106
0
1.4k
データサイエンティストに同じクエリは二度も通じぬ
yoshinaga0106
2
980
Data Science API
yoshinaga0106
5
2.7k
Anomaly Detection in KDD2019
yoshinaga0106
1
410
Data Engineering & Data Analysis #8
yoshinaga0106
1
2.6k
Introduction of Clumpiness
yoshinaga0106
0
170
Other Decks in Research
See All in Research
[Devfest Incheon 2025] 모두를 위한 친절한 언어모델(LLM) 학습 가이드
beomi
2
1.4k
ローテーション別のサイドアウト戦略 ~なぜあのローテは回らないのか?~
vball_panda
0
260
AIスパコン「さくらONE」のLLM学習ベンチマークによる性能評価 / SAKURAONE LLM Training Benchmarking
yuukit
2
940
Nullspace MPC
mizuhoaoki
1
600
情報技術の社会実装に向けた応用と課題:ニュースメディアの事例から / appmech-jsce 2025
upura
0
300
AI in Enterprises - Java and Open Source to the Rescue
ivargrimstad
0
1.1k
SREはサイバネティクスの夢をみるか? / Do SREs Dream of Cybernetics?
yuukit
3
330
生成的情報検索時代におけるAI利用と認知バイアス
trycycle
PRO
0
190
ACL読み会2025: Can Language Models Reason about Individualistic Human Values and Preferences?
yukizenimoto
0
110
若手研究者が国際会議(例えばIROS)でワークショップを企画するメリットと成功法!
tanichu
0
130
超高速データサイエンス
matsui_528
1
350
空間音響処理における物理法則に基づく機械学習
skoyamalab
0
170
Featured
See All Featured
The Limits of Empathy - UXLibs8
cassininazir
1
200
Code Reviewing Like a Champion
maltzj
527
40k
B2B Lead Gen: Tactics, Traps & Triumph
marketingsoph
0
42
How to Build an AI Search Optimization Roadmap - Criteria and Steps to Take #SEOIRL
aleyda
1
1.8k
Getting science done with accelerated Python computing platforms
jacobtomlinson
1
98
State of Search Keynote: SEO is Dead Long Live SEO
ryanjones
0
88
Self-Hosted WebAssembly Runtime for Runtime-Neutral Checkpoint/Restore in Edge–Cloud Continuum
chikuwait
0
280
AI Search: Implications for SEO and How to Move Forward - #ShenzhenSEOConference
aleyda
1
1.1k
VelocityConf: Rendering Performance Case Studies
addyosmani
333
24k
Building Experiences: Design Systems, User Experience, and Full Site Editing
marktimemedia
0
380
Building a Scalable Design System with Sketch
lauravandoore
463
34k
Pawsitive SEO: Lessons from My Dog (and Many Mistakes) on Thriving as a Consultant in the Age of AI
davidcarrasco
0
47
Transcript
- 1 - 1 1 1 1 1 1 -
1 - 0- - 1 - 1 - - 1 - I 1 :67A . 9 0: 565 / 5 : 17 : 5 : , ( , , ) 25 59: 4 A9: 585
• Cd a lm ro • lm h
c lm k • lm C , , t • , , , A n sve • oiC C
• l T • P c G P ( •
c • ( P ) C G • G ( G i koc P C • ) C ( t C G ( TC • P n A R : C • G ( • G C TV
• C V • R • V • C •
R • C • ! • C V C
• + + - + - • -
- + -
• 6 - + • U 1 AV L G
G S T R C M
• + 0 +2 - + 20-0 • P T
L M P E
- - • ( 1 0 1 • E •
02/1 * ) • - , , , 8 S D MR 8 7
• V V a t C o VAl
Al • i a i V i V • e n • a V d ↓
• uD To l A c ME sT r gd
G • - • - • - h e a be G D AC x C G • n t D + T G G AC P L • t Tik