Multimodal Representations Learning Based on Mutual Information Maximization and Minimization and Identity Embedding for Multimodal Sentiment Analysis

10 January 2022

Papers citing "Multimodal Representations Learning Based on Mutual Information Maximization and Minimization and Identity Embedding for Multimodal Sentiment Analysis"

6 / 6 papers shown

Title
Directed Acyclic Graph Network for Conversational Emotion Recognition Weizhou Shen Siyue Wu Yunyi Yang Xiaojun Quan 50 241 0 27 May 2021
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations Alexei Baevski Henry Zhou Abdel-rahman Mohamed Michael Auli SSL 150 5,677 0 20 Jun 2020
BiERU: Bidirectional Emotional Recurrent Unit for Conversational Sentiment Analysis Wei Li Wei Shao Shaoxiong Ji Min Zhang 24 221 0 31 May 2020
Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations Peixiang Zhong Di Wang Chunyan Miao 42 269 0 24 Sep 2019
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation Deepanway Ghosal Navonil Majumder Soujanya Poria Niyati Chhaya Alexander Gelbukh 69 511 0 30 Aug 2019
Tensor Fusion Network for Multimodal Sentiment Analysis Amir Zadeh Minghai Chen Soujanya Poria Min Zhang Louis-Philippe Morency 43 1,221 0 23 Jul 2017