424 citations · 447 across the 8 of their papers we have counts for
8 papers
Focusing on Relevant Responses for Multi-modal Rumor Detection
Jun Li, Yi Bin, Liang Peng +4
In the absence of an authoritative statement about a rumor, people may expose the truth behind such rumor through their responses on social media. Most rumor detection methods aggr…
Conditional Generative Data-free Knowledge Distillation
Xinyi Yu, Ling Yan, Yang Yang +2
Knowledge distillation has made remarkable achievements in model compression. However, most existing methods require the original training data, which is usually unavailable due to…
Interpretable Signed Link Prediction with Signed Infomax Hyperbolic Graph
Yadan Luo, Zi Huang, Hongxu Chen +2
Signed link prediction in social networks aims to reveal the underlying relationships (i.e. links) among users (i.e. nodes) given their existing positive and negative interactions…
Boundary Content Graph Neural Network for Temporal Action Proposal Generation
Yueran Bai, Yingying Wang, Yunhai Tong +3
Temporal action proposal generation plays an important role in video action understanding, which requires localizing high-quality action content precisely. However, generating temp…
Cross-modal supervised learning for better acoustic representations
Shaoyong Jia, Xin Shu, Yang Yang +3
Obtaining large-scale human-labeled datasets to train acoustic representation models is a very challenging task. On the contrary, we can easily collect data with machine-generated…
Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling
Yadan Luo, Zi Huang, Zheng Zhang +3
Meta-learning for few-shot learning allows a machine to leverage previously acquired knowledge as a prior, thus improving the performance on novel tasks with only small amounts of…