Improving Disentangled Text Representation Learning with
Information-Theoretic Guidance

Improving Disentangled Text Representation Learning with Information-Theoretic Guidance

1 June 2020

Martin Renqiang Min

Christopher Malon

Lawrence Carin

Papers citing "Improving Disentangled Text Representation Learning with Information-Theoretic Guidance"

18 / 18 papers shown

Title
Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models Baao Xie Qiuyu Chen Yunnan Wang Zequn Zhang Xin Jin Wenjun Zeng OffRL 43 2 0 26 Jul 2024
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction Yuncheng Hua Yujin Huang Shuo Huang Tao Feng Lizhen Qu Chris Bain R. Bassed Gholamreza Haffari CML OOD 53 2 0 18 Jun 2024
Disentangled Representation Learning Xin Eric Wang Hong Chen Siao Tang Zihao Wu Wenwu Zhu DRL 39 78 0 21 Nov 2022
An Overview on Controllable Text Generation via Variational Auto-Encoders Haoqin Tu Yitong Li BDL 32 2 0 15 Nov 2022
StyLEx: Explaining Style Using Human Lexical Annotations Shirley Anugrah Hayati Kyumin Park Dheeraj Rajagopal Lyle Ungar Dongyeop Kang 28 3 0 14 Oct 2022
Towards Unsupervised Content Disentanglement in Sentence Representations via Syntactic Roles G. Felhi Joseph Le Roux Djamé Seddah DRL 23 5 0 22 Jun 2022
Conditional Supervised Contrastive Learning for Fair Text Classification Jianfeng Chi Will Shand Yaodong Yu Kai-Wei Chang Han Zhao Yuan Tian FaML 51 14 0 23 May 2022
Unsupervised Structure-Texture Separation Network for Oracle Character Recognition Mei Wang Weihong Deng Chenguang Liu 62 25 0 13 May 2022
Exploiting Inductive Bias in Transformers for Unsupervised Disentanglement of Syntax and Semantics with VAEs G. Felhi Joseph Le Roux Djamé Seddah DRL 30 2 0 12 May 2022
Learning Disentangled Textual Representations via Statistical Measures of Similarity Pierre Colombo Guillaume Staerman Nathan Noiry Pablo Piantanida FaML DRL 38 22 0 07 May 2022
Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation Zhuang Li Lizhen Qu Qiongkai Xu Tongtong Wu Tianyang Zhan Gholamreza Haffari CoGe UD DRL 46 4 0 27 Feb 2022
A Differential Entropy Estimator for Training Neural Networks Georg Pichler Pierre Colombo Malik Boudiaf Günther Koliander Pablo Piantanida 25 21 0 14 Feb 2022
Contrastively Disentangled Sequential Variational Autoencoder M. Kiener Weiran Wang Michael Gerndt CoGe DRL 34 40 0 22 Oct 2021
Disentangled Sequence to Sequence Learning for Compositional Generalization Hao Zheng Mirella Lapata CoGe DRL 30 39 0 09 Oct 2021
Preventing Author Profiling through Zero-Shot Multilingual Back-Translation David Ifeoluwa Adelani Miaoran Zhang Xiaoyu Shen A. Davody Thomas Kleinbauer Dietrich Klakow 23 4 0 19 Sep 2021
Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders Giangiacomo Mercatali André Freitas CoGe DRL 46 23 0 15 Sep 2021
A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations Pierre Colombo Chloé Clavel Pablo Piantanida AAML DRL 26 50 0 06 May 2021
Text Style Transfer: A Review and Experimental Evaluation Zhiqiang Hu Roy Ka-wei Lee Charu C. Aggarwal Aston Zhang AI4TS 42 26 0 24 Oct 2020