ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1905.07289
  4. Cited By
Conversion Prediction Using Multi-task Conditional Attention Networks to
  Support the Creation of Effective Ad Creative

Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creative

17 May 2019
Shunsuke Kitada
Hitoshi Iyatomi
Yoshifumi Seki
ArXivPDFHTML

Papers citing "Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creative"

6 / 6 papers shown
Title
Majority or Minority: Data Imbalance Learning Method for Named Entity Recognition
Majority or Minority: Data Imbalance Learning Method for Named Entity Recognition
Sota Nemoto
Shunsuke Kitada
Hitoshi Iyatomi
24
1
0
21 Jan 2024
Improving Prediction Performance and Model Interpretability through
  Attention Mechanisms from Basic and Applied Research Perspectives
Improving Prediction Performance and Model Interpretability through Attention Mechanisms from Basic and Applied Research Perspectives
Shunsuke Kitada
FaML
HAI
AI4CE
32
0
0
24 Mar 2023
Ad Creative Discontinuation Prediction with Multi-Modal Multi-Task
  Neural Survival Networks
Ad Creative Discontinuation Prediction with Multi-Modal Multi-Task Neural Survival Networks
Shunsuke Kitada
Hitoshi Iyatomi
Yoshifumi Seki
38
1
0
02 Apr 2022
Methodology for design of templates of text communication messages for
  software marketing
Methodology for design of templates of text communication messages for software marketing
E. K. Malakhovskaya
Yury P. Ekhlakov
P. Senchenko
Anatoly A.Sidorov
14
2
0
28 Dec 2020
Deep CTR Prediction in Display Advertising
Deep CTR Prediction in Display Advertising
Junxuan Chen
Baigui Sun
Hao Li
Hongtao Lu
Xiansheng Hua
3DV
82
130
0
20 Sep 2016
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,638
0
03 Jul 2012
1