9 citations · 17 across the 8 of their papers we have counts for
4 papers · 1 filter
A Self-Adjusting Fusion Representation Learning Model for Unaligned Text-Audio Sequences
Kaicheng Yang, Ruxuan Zhang, Hua Xu +1
Inter-modal interaction plays an indispensable role in multimodal sentiment analysis. Due to different modalities sequences are usually non-alignment, how to integrate relevant inf…
Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation
Zhijing Wu, Hua Xu, Jingliang Fang +1
Continual Machine Reading Comprehension aims to incrementally learn from a continuous data stream across time without access the previous seen data, which is crucial for the develo…
Consistent Representation Learning for Continual Relation Extraction
Kang Zhao, Hua Xu, Jiangong Yang +1
Continual relation extraction (CRE) aims to continuously train a model on data with new relations while avoiding forgetting old ones. Some previous work has proved that storing a f…
Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis
Wenmeng Yu, Hua Xu, Ziqi Yuan +1
Representation Learning is a significant and challenging task in multimodal learning. Effective modality representations should contain two parts of characteristics: the consistenc…