ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1804.08069
  4. Cited By
Unsupervised Discrete Sentence Representation Learning for Interpretable
  Neural Dialog Generation

Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation

Annual Meeting of the Association for Computational Linguistics (ACL), 2018
22 April 2018
Tiancheng Zhao
Kyusong Lee
M. Eskénazi
    DRL
ArXiv (abs)PDFHTML

Papers citing "Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation"

50 / 77 papers shown
Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes
Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes
Zhuocheng Gong
Jian Guan
Wei Wu
Huishuai Zhang
Dongyan Zhao
416
5
0
08 May 2025
Sentiment-oriented Transformer-based Variational Autoencoder Network for
  Live Video Commenting
Sentiment-oriented Transformer-based Variational Autoencoder Network for Live Video Commenting
Fengyi Fu
Shancheng Fang
Weidong Chen
Zhendong Mao
ViTVGen
210
9
0
19 Apr 2024
Using Domain Knowledge to Guide Dialog Structure Induction via Neural
  Probabilistic Soft Logic
Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic
Connor Pryor
Quan Yuan
J. Liu
Mehran Kazemi
Deepak Ramachandran
Tania Bedrax-Weiss
Lise Getoor
310
6
0
26 Mar 2024
Modeling Spatio-temporal Dynamical Systems with Neural Discrete Learning
  and Levels-of-Experts
Modeling Spatio-temporal Dynamical Systems with Neural Discrete Learning and Levels-of-ExpertsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Kun Wang
Hao Wu
Guibin Zhang
Cunchun Li
Yuxuan Liang
Yuankai Wu
Roger Zimmermann
Yang Wang
216
18
0
06 Feb 2024
Learning Gaussian Mixture Representations for Tensor Time Series
  Forecasting
Learning Gaussian Mixture Representations for Tensor Time Series ForecastingInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Jiewen Deng
Jinliang Deng
Renhe Jiang
Xuan Song
AI4TS
370
11
0
01 Jun 2023
Topic-Guided Self-Introduction Generation for Social Media Users
Topic-Guided Self-Introduction Generation for Social Media UsersAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Chunpu Xu
Jing Li
Pijian Li
Min Yang
197
0
0
24 May 2023
Dior-CVAE: Pre-trained Language Models and Diffusion Priors for
  Variational Dialog Generation
Dior-CVAE: Pre-trained Language Models and Diffusion Priors for Variational Dialog GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Tianyu Yang
Thy Thy Tran
Iryna Gurevych
DiffM
255
2
0
24 May 2023
Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the
  Decoder Network
Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder NetworkInternational Conference on Machine Learning (ICML), 2023
Yuri Kinoshita
Kenta Oono
Kenji Fukumizu
Yuichi Yoshida
S. Maeda
DRLBDL
287
6
0
25 Apr 2023
Learn What Is Possible, Then Choose What Is Best: Disentangling
  One-To-Many Relations in Language Through Text-based Games
Learn What Is Possible, Then Choose What Is Best: Disentangling One-To-Many Relations in Language Through Text-based GamesConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Benjamin Towle
Ke Zhou
SyDa
218
4
0
14 Apr 2023
Posterior Collapse and Latent Variable Non-identifiability
Posterior Collapse and Latent Variable Non-identifiabilityNeural Information Processing Systems (NeurIPS), 2023
Yixin Wang
David M. Blei
John P. Cunningham
CMLDRL
398
94
0
02 Jan 2023
PVGRU: Generating Diverse and Relevant Dialogue Responses via
  Pseudo-Variational Mechanism
PVGRU: Generating Diverse and Relevant Dialogue Responses via Pseudo-Variational MechanismAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Yongkang Liu
Shi Feng
Daling Wang
Yifei Zhang
Hinrich Schütze
398
10
0
18 Dec 2022
Advanced Conditional Variational Autoencoders (A-CVAE): Towards
  interpreting open-domain conversation generation via disentangling latent
  feature representation
Advanced Conditional Variational Autoencoders (A-CVAE): Towards interpreting open-domain conversation generation via disentangling latent feature representation
Ye Wang
Jing Liao
Hong-ye Yu
Guoyin Wang
Xiaoxia Zhang
Li Liu
DRL
174
6
0
26 Jul 2022
Hidden Schema Networks
Hidden Schema NetworksAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Ramses J. Sanchez
L. Conrads
Pascal Welke
K. Cvejoski
C. Ojeda
NAIMILM
289
5
0
08 Jul 2022
Latent Diffusion Energy-Based Model for Interpretable Text Modeling
Latent Diffusion Energy-Based Model for Interpretable Text ModelingInternational Conference on Machine Learning (ICML), 2022
Peiyu Yu
Sirui Xie
Xiaojian Ma
Baoxiong Jia
Bo Pang
Ruigi Gao
Yixin Zhu
Song-Chun Zhu
Ying Nian Wu
DiffM
383
104
0
13 Jun 2022
Data Augmentation for Intent Classification
Data Augmentation for Intent Classification
Derek Chen
Claire Yin
169
3
0
12 Jun 2022
DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for
  Dialog Response Generation
DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Wei Chen
Yeyun Gong
Song Wang
Bolun Yao
Weizhen Qi
...
Bartuer Zhou
Yi Mao
Weizhu Chen
Biao Cheng
Nan Duan
VLM
196
53
0
27 Apr 2022
EmpHi: Generating Empathetic Responses with Human-like Intents
EmpHi: Generating Empathetic Responses with Human-like IntentsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Mao Yan Chen
Siheng Li
Yujiu Yang
159
30
0
26 Apr 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic
  Review on Evaluating Explainable AI
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AIACM Computing Surveys (ACM CSUR), 2022
Meike Nauta
Jan Trienes
Shreyasi Pathak
Elisa Nguyen
Michelle Peters
Yasmin Schmitt
Jorg Schlotterer
M. V. Keulen
C. Seifert
ELMXAI
792
633
0
20 Jan 2022
MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic
  Time Series Data
MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data
Zhibo Zhu
Ziqi Liu
Ge Jin
Qing Cui
Lei Chen
Jun Zhou
Jianyong Zhou
AI4TS
176
15
0
27 Oct 2021
DiscoDVT: Generating Long Text with Discourse-Aware Discrete Variational
  Transformer
DiscoDVT: Generating Long Text with Discourse-Aware Discrete Variational TransformerConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Haozhe Ji
Shiyu Huang
234
25
0
12 Oct 2021
Truth-Conditional Captioning of Time Series Data
Truth-Conditional Captioning of Time Series Data
Harsh Jhamtani
Taylor Berg-Kirkpatrick
AI4TS
205
12
0
05 Oct 2021
Constructing Emotion Consensus and Utilizing Unpaired Data for
  Empathetic Dialogue Generation
Constructing Emotion Consensus and Utilizing Unpaired Data for Empathetic Dialogue Generation
Lei Shen
Jinchao Zhang
Jiao Ou
Xiaofang Zhao
Jie Zhou
296
6
0
16 Sep 2021
Latent Space Energy-Based Model of Symbol-Vector Coupling for Text
  Generation and Classification
Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and ClassificationInternational Conference on Machine Learning (ICML), 2021
Bo Pang
Ying Nian Wu
183
19
0
26 Aug 2021
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and
  Partial Modality Absent Few-Shot Learning
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and Partial Modality Absent Few-Shot Learning
Yi Zhang
Sheng Huang
Xiao-song Peng
Dan Yang
212
9
0
28 Jun 2021
Recent Advances in Deep Learning Based Dialogue Systems: A Systematic
  Survey
Recent Advances in Deep Learning Based Dialogue Systems: A Systematic SurveyArtificial Intelligence Review (AIR), 2021
Jinjie Ni
Tom Young
Vlad Pandelea
Fuzhao Xue
Xiaoshi Zhong
982
336
0
10 May 2021
Who Responded to Whom: The Joint Effects of Latent Topics and Discourse
  in Conversation Structure
Who Responded to Whom: The Joint Effects of Latent Topics and Discourse in Conversation StructureWorkshop on Chinese Language Processing (CLP), 2021
Lu Ji
Jing Li
Zhongyu Wei
Tao Gui
Xuanjing Huang
380
2
0
17 Apr 2021
SKID RAW: Skill Discovery from Raw Trajectories
SKID RAW: Skill Discovery from Raw TrajectoriesIEEE Robotics and Automation Letters (RA-L), 2021
Daniel Tanneberg
Kai Ploeger
Elmar Rueckert
Jan Peters
278
35
0
26 Mar 2021
When is it permissible for artificial intelligence to lie? A trust-based
  approach
When is it permissible for artificial intelligence to lie? A trust-based approach
Tae Wan Kim
Tong Lu
Lu
Kyusong Lee
Zhaoqi Cheng
Yanhan Tang
J. N. Hooker
277
4
0
09 Mar 2021
Domain Adaptation in Dialogue Systems using Transfer and Meta-Learning
Domain Adaptation in Dialogue Systems using Transfer and Meta-LearningIberSPEECH Conference (IberSPEECH), 2021
Rui Ribeiro
A. Abad
J. Lopes
OffRL
106
1
0
22 Feb 2021
Chatbots language design: the influence of language variation on user
  experience
Chatbots language design: the influence of language variation on user experienceInternational Conference on Human-Agent Interaction (HAI), 2019
A. Chaves
Jesse Egbert
T. Hocking
E. Doerry
M. Gerosa
229
48
0
26 Jan 2021
Transformer-based Conditional Variational Autoencoder for Controllable
  Story Generation
Transformer-based Conditional Variational Autoencoder for Controllable Story Generation
Le Fang
Tao Zeng
Chao-Ning Liu
Liefeng Bo
Wen Dong
Changyou Chen
DRL
328
71
0
04 Jan 2021
Deep Graph Generators: A Survey
Deep Graph Generators: A SurveyIEEE Access (IEEE Access), 2020
Faezeh Faez
Yassaman Ommi
M. Baghshah
Hamid R. Rabiee
GNNAI4CE
294
71
0
31 Dec 2020
Discovering Dialog Structure Graph for Open-Domain Dialog Generation
Discovering Dialog Structure Graph for Open-Domain Dialog Generation
Jun Xu
Zeyang Lei
Haifeng Wang
Zheng-Yu Niu
Hua Wu
Wanxiang Che
Ting Liu
260
6
0
31 Dec 2020
Data-Efficient Methods for Dialogue Systems
Data-Efficient Methods for Dialogue Systems
Igor Shalyminov
310
1
0
05 Dec 2020
LAVA: Latent Action Spaces via Variational Auto-encoding for Dialogue
  Policy Optimization
LAVA: Latent Action Spaces via Variational Auto-encoding for Dialogue Policy OptimizationInternational Conference on Computational Linguistics (COLING), 2020
Nurul Lubis
Christian Geishauser
Michael Heck
Hsien-Chin Lin
Marco Moresi
Carel van Niekerk
Milica Gavsić
OffRL
171
43
0
18 Nov 2020
Generalizable and Explainable Dialogue Generation via Explicit Action
  Learning
Generalizable and Explainable Dialogue Generation via Explicit Action Learning
Xinting Huang
Jianzhong Qi
Yu Sun
Rui Zhang
273
5
0
08 Oct 2020
Structured Attention for Unsupervised Dialogue Structure Induction
Structured Attention for Unsupervised Dialogue Structure InductionConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Liang Qiu
Yizhou Zhao
Weiyan Shi
Yuan Liang
Feng Shi
Tao Yuan
Zhou Yu
Song-Chun Zhu
202
34
0
17 Sep 2020
Dynamical Variational Autoencoders: A Comprehensive Review
Dynamical Variational Autoencoders: A Comprehensive Review
Laurent Girin
Simon Leglaive
Xiaoyu Bie
Julien Diard
Thomas Hueber
Xavier Alameda-Pineda
BDL
654
288
0
28 Aug 2020
Discrete Word Embedding for Logical Natural Language Understanding
Discrete Word Embedding for Logical Natural Language Understanding
Masataro Asai
Zilu Tang
217
3
0
26 Aug 2020
Dialog without Dialog Data: Learning Visual Dialog Agents from VQA Data
Dialog without Dialog Data: Learning Visual Dialog Agents from VQA DataNeural Information Processing Systems (NeurIPS), 2020
Michael Cogswell
Jiasen Lu
Rishabh Jain
Stefan Lee
Devi Parikh
Dhruv Batra
VLMEgoV
153
15
0
24 Jul 2020
Discrete Latent Variable Representations for Low-Resource Text
  Classification
Discrete Latent Variable Representations for Low-Resource Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Shuning Jin
Sam Wiseman
K. Stratos
Karen Livescu
BDL
260
17
0
11 Jun 2020
A Controllable Model of Grounded Response Generation
A Controllable Model of Grounded Response GenerationAAAI Conference on Artificial Intelligence (AAAI), 2020
Zeqiu Wu
Michel Galley
Chris Brockett
Yizhe Zhang
Xiang Gao
...
Rik Koncel-Kedziorski
Jianfeng Gao
Hannaneh Hajishirzi
Mari Ostendorf
Bill Dolan
219
89
0
01 May 2020
Learning Interpretable and Discrete Representations with Adversarial
  Training for Unsupervised Text Classification
Learning Interpretable and Discrete Representations with Adversarial Training for Unsupervised Text Classification
Yau-Shian Wang
Hung-yi Lee
Yun-Nung Chen
203
0
0
28 Apr 2020
A Batch Normalized Inference Network Keeps the KL Vanishing Away
A Batch Normalized Inference Network Keeps the KL Vanishing AwayAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Qile Zhu
Jianlin Su
Wei Bi
Xiaojiang Liu
Xiyao Ma
Xiaolin Li
D. Wu
BDLDRL
193
67
0
27 Apr 2020
Improve Variational Autoencoder for Text Generationwith Discrete Latent
  Bottleneck
Improve Variational Autoencoder for Text Generationwith Discrete Latent Bottleneck
Yang Zhao
Ping Yu
Suchismit Mahapatra
Qinliang Su
Changyou Chen
DRL
334
2
0
22 Apr 2020
Variational Transformers for Diverse Response Generation
Variational Transformers for Diverse Response Generation
Mohammad Kachuee
Genta Indra Winata
Peng Xu
Zihan Liu
Pascale Fung
DRL
229
52
0
28 Mar 2020
Local Contextual Attention with Hierarchical Structure for Dialogue Act
  Recognition
Local Contextual Attention with Hierarchical Structure for Dialogue Act Recognition
Zhigang Dai
Jinhua Fu
Qile Zhu
Hengbin Cui
Xiaolong Li
Yuan Qi
238
13
0
12 Mar 2020
Toward Interpretability of Dual-Encoder Models for Dialogue Response
  Suggestions
Toward Interpretability of Dual-Encoder Models for Dialogue Response Suggestions
Yitong Li
Dianqi Li
Sushant Prakash
Peng Wang
159
2
0
02 Mar 2020
Variational Template Machine for Data-to-Text Generation
Variational Template Machine for Data-to-Text GenerationInternational Conference on Learning Representations (ICLR), 2020
Rong Ye
Wenxian Shi
Hao Zhou
Zhongyu Wei
Lei Li
DRL
302
45
0
04 Feb 2020
Adaptive Parameterization for Neural Dialogue Generation
Adaptive Parameterization for Neural Dialogue GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Hengyi Cai
Hongshen Chen
Cheng Zhang
Yonghao Song
Xiaofang Zhao
D. Yin
213
8
0
18 Jan 2020
12
Next
Page 1 of 2