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Select-Additive Learning: Improving Generalization in Multimodal
  Sentiment Analysis

Select-Additive Learning: Improving Generalization in Multimodal Sentiment Analysis

16 September 2016
Haohan Wang
Aaksha Meghawat
Louis-Philippe Morency
Eric P. Xing
ArXivPDFHTML

Papers citing "Select-Additive Learning: Improving Generalization in Multimodal Sentiment Analysis"

18 / 18 papers shown
Title
TACFN: Transformer-based Adaptive Cross-modal Fusion Network for Multimodal Emotion Recognition
TACFN: Transformer-based Adaptive Cross-modal Fusion Network for Multimodal Emotion Recognition
Feng Liu
Ziwang Fu
Y. Wang
Qijian Zheng
40
4
0
10 May 2025
Choosing Wisely and Learning Deeply: Selective Cross-Modality
  Distillation via CLIP for Domain Generalization
Choosing Wisely and Learning Deeply: Selective Cross-Modality Distillation via CLIP for Domain Generalization
Jixuan Leng
Yijiang Li
Haohan Wang
VLM
31
0
0
26 Nov 2023
FV2ES: A Fully End2End Multimodal System for Fast Yet Effective Video
  Emotion Recognition Inference
FV2ES: A Fully End2End Multimodal System for Fast Yet Effective Video Emotion Recognition Inference
Qinglan Wei
Xu-Juan Huang
Yuan Zhang
6
14
0
21 Sep 2022
Are Multimodal Transformers Robust to Missing Modality?
Are Multimodal Transformers Robust to Missing Modality?
Mengmeng Ma
Jian Ren
Long Zhao
Davide Testuggine
Xi Peng
ViT
26
147
0
12 Apr 2022
The Two Dimensions of Worst-case Training and the Integrated Effect for
  Out-of-domain Generalization
The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization
Zeyi Huang
Haohan Wang
Dong Huang
Yong Jae Lee
Eric P. Xing
13
22
0
09 Apr 2022
Measure and Improve Robustness in NLP Models: A Survey
Measure and Improve Robustness in NLP Models: A Survey
Xuezhi Wang
Haohan Wang
Diyi Yang
139
130
0
15 Dec 2021
LMR-CBT: Learning Modality-fused Representations with CB-Transformer for
  Multimodal Emotion Recognition from Unaligned Multimodal Sequences
LMR-CBT: Learning Modality-fused Representations with CB-Transformer for Multimodal Emotion Recognition from Unaligned Multimodal Sequences
Ziwang Fu
Feng Liu
Hanyang Wang
Siyuan Shen
Jiahao Zhang
Jiayin Qi
Xiangling Fu
Aimin Zhou
30
9
0
03 Dec 2021
Improving Multimodal Fusion with Hierarchical Mutual Information
  Maximization for Multimodal Sentiment Analysis
Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis
Wei Han
Hui Chen
Soujanya Poria
23
315
0
01 Sep 2021
Learning Language and Multimodal Privacy-Preserving Markers of Mood from
  Mobile Data
Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data
Paul Pu Liang
Terrance Liu
Anna Cai
Michal Muszynski
Ryo Ishii
Nicholas B. Allen
Randy P. Auerbach
David Brent
Ruslan Salakhutdinov
Louis-Philippe Morency
32
16
0
24 Jun 2021
SMIL: Multimodal Learning with Severely Missing Modality
SMIL: Multimodal Learning with Severely Missing Modality
Mengmeng Ma
Jian Ren
Long Zhao
Sergey Tulyakov
Cathy H. Wu
Xi Peng
35
238
0
09 Mar 2021
Learning Robust Representations by Projecting Superficial Statistics Out
Learning Robust Representations by Projecting Superficial Statistics Out
Haohan Wang
Zexue He
Zachary Chase Lipton
Eric P. Xing
OOD
20
234
0
02 Mar 2019
Multimodal Language Analysis with Recurrent Multistage Fusion
Multimodal Language Analysis with Recurrent Multistage Fusion
Paul Pu Liang
Liu Ziyin
Amir Zadeh
Louis-Philippe Morency
22
198
0
12 Aug 2018
Removing Confounding Factors Associated Weights in Deep Neural Networks
  Improves the Prediction Accuracy for Healthcare Applications
Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications
Haohan Wang
Zhenglin Wu
Eric P. Xing
OOD
29
40
0
20 Mar 2018
Memory Fusion Network for Multi-view Sequential Learning
Memory Fusion Network for Multi-view Sequential Learning
Amir Zadeh
Paul Pu Liang
Navonil Mazumder
Soujanya Poria
Erik Cambria
Louis-Philippe Morency
14
688
0
03 Feb 2018
Multimodal Sentiment Analysis with Word-Level Fusion and Reinforcement
  Learning
Multimodal Sentiment Analysis with Word-Level Fusion and Reinforcement Learning
Minghai Chen
Sen Wang
Paul Pu Liang
T. Baltrušaitis
Amir Zadeh
Louis-Philippe Morency
27
278
0
03 Feb 2018
Multi-attention Recurrent Network for Human Communication Comprehension
Multi-attention Recurrent Network for Human Communication Comprehension
Amir Zadeh
Paul Pu Liang
Soujanya Poria
Prateek Vij
Erik Cambria
Louis-Philippe Morency
11
477
0
03 Feb 2018
Tensor Fusion Network for Multimodal Sentiment Analysis
Tensor Fusion Network for Multimodal Sentiment Analysis
Amir Zadeh
Minghai Chen
Soujanya Poria
Erik Cambria
Louis-Philippe Morency
24
1,198
0
23 Jul 2017
On the Origin of Deep Learning
On the Origin of Deep Learning
Haohan Wang
Bhiksha Raj
MedIm
3DV
VLM
45
223
0
24 Feb 2017
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