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Representation Learning is a significant and challenging task in multimodal learning.
Long short-term memory
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MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis
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Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research
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Multi-task deep visual-semantic embedding for video thumbnail selection
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Mosi: multimodal corpus of sentiment intensity and subjectivity analysis in online opinion videos
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Attention is all you need
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Tensor fusion network for multimodal sentiment analysis
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Efficient Low-rank Multimodal Fusion With Modality-Specific Factors
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Learning Factorized Multimodal Representations
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Multimodal Machine Learning: A Survey and Taxonomy
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Multimodal transformer for unaligned multimodal language sequences
Tsai, Y.-H. H.; Bai, S.; Liang, P. P.; Kolter, J. Z.; Morency, L.-P.; and Salakhutdinov, R. 2019 · 2019
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Words can shift: Dynamically adjusting word representations using nonverbal behaviors
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Integrating Multimodal Information in Large Pretrained Transformers
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Learning relationships between text, audio, and video via deep canonical correlation for multimodal language analysis
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Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis
Akhtar, M. S.; Chauhan, D.; Ghosal, D.; Poria, S.; Ekbal, A.; and Bhattacharyya, P. 2019 · 2019
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CH-SIMS: A Chinese Multimodal Sentiment Analysis Dataset with Fine-grained Annotation of Modality
Yu, W.; Xu, H.; Meng, F.; Zhu, Y.; Ma, Y.; Wu, J.; Zou, J.; and Yang, K. 2020b
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Memory fusion network for multi-view sequential learning
Zadeh, A.; Liang, P. P.; Mazumder, N.; Poria, S.; Cambria, E.; and Morency, L.-P. 2018a
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Multimodal language analysis in the wild: Cmu-mosei dataset and interpretable dynamic fusion graph
Zadeh, A. B.; Liang, P. P.; Poria, S.; Cambria, E.; and Morency, L.-P. 2018b
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CH-SIMS: A Chinese Multimodal Sentiment Analysis Dataset with Fine-grained Annotation of Modality
Yu, W.; Xu, H.; Meng, F.; Zhu, Y.; Ma, Y.; Wu, J.; Zou, J.; and Yang, K. 2020a · 2020
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