16 citations · 19 across the 3 of their papers we have counts for
3 papers
cs.LG2020★ 16 cited
Time-aware Large Kernel Convolutions
Vasileios Lioutas, Yuhong Guo
To date, most state-of-the-art sequence modeling architectures use attention to build generative models for language based tasks. Some of these models use all the available sequenc…
cs.LG2019★ 3 cited
Dual Adversarial Co-Learning for Multi-Domain Text Classification
Yuan Wu, Yuhong Guo
In this paper we propose a novel dual adversarial co-learning approach for multi-domain text classification (MDTC). The approach learns shared-private networks for feature extracti…
cs.CV2019
Inverse Visual Question Answering with Multi-Level Attentions
Yaser Alwattar, Yuhong Guo
In this paper, we propose a novel deep multi-level attention model to address inverse visual question answering. The proposed model generates regional visual and semantic features…