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. 1703.05423
  4. Cited By
End-to-end optimization of goal-driven and visually grounded dialogue
  systems

End-to-end optimization of goal-driven and visually grounded dialogue systems

15 March 2017
Florian Strub
H. D. Vries
Jérémie Mary
Bilal Piot
Aaron Courville
Olivier Pietquin
    OffRL
ArXivPDFHTML

Papers citing "End-to-end optimization of goal-driven and visually grounded dialogue systems"

9 / 9 papers shown
Title
Enabling Harmonious Human-Machine Interaction with Visual-Context
  Augmented Dialogue System: A Review
Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review
Hao Wang
Bin Guo
Y. Zeng
Yasan Ding
Chen Qiu
Ying Zhang
Li Yao
Zhiwen Yu
27
2
0
02 Jul 2022
Probabilistic framework for solving Visual Dialog
Probabilistic framework for solving Visual Dialog
Badri N. Patro
Anupriy
Vinay P. Namboodiri
BDL
22
13
0
11 Sep 2019
Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language
  Feedback
Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback
Hui Wu
Yupeng Gao
Xiaoxiao Guo
Ziad Al-Halah
Steven J. Rennie
Kristen Grauman
Rogerio Feris
EgoV
9
63
0
30 May 2019
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog
Zhe Gan
Yu Cheng
Ahmed El Kholy
Linjie Li
Jingjing Liu
Jianfeng Gao
6
104
0
01 Feb 2019
Neural Approaches to Conversational AI
Neural Approaches to Conversational AI
Jianfeng Gao
Michel Galley
Lihong Li
32
668
0
21 Sep 2018
A Survey on Deep Learning Toolkits and Libraries for Intelligent User
  Interfaces
A Survey on Deep Learning Toolkits and Libraries for Intelligent User Interfaces
Jan Zacharias
Michael Barz
Daniel Sonntag
VLM
11
33
0
13 Mar 2018
Active Learning for Visual Question Answering: An Empirical Study
Active Learning for Visual Question Answering: An Empirical Study
Xiaoyu Lin
Devi Parikh
31
31
0
06 Nov 2017
Best of Both Worlds: Transferring Knowledge from Discriminative Learning
  to a Generative Visual Dialog Model
Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model
Jiasen Lu
A. Kannan
Jianwei Yang
Devi Parikh
Dhruv Batra
BDL
15
136
0
05 Jun 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
78
1,502
0
25 Jan 2017
1