47 citations · 81 across the 6 of their papers we have counts for
6 papers
Adversarial Consistent Learning on Partial Domain Adaptation of PlantCLEF 2020 Challenge
Youshan Zhang, Brian D. Davison
Domain adaptation is one of the most crucial techniques to mitigate the domain shift problem, which exists when transferring knowledge from an abundant labeled sourced domain to a…
Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Clusters for Extreme Multi-label Text Classification
Hui Ye, Zhiyu Chen, Da-Han Wang +1
Extreme multi-label text classification (XMTC) is a task for tagging a given text with the most relevant labels from an extremely large label set. We propose a novel deep learning…
Table Search Using a Deep Contextualized Language Model
Zhiyu Chen, Mohamed Trabelsi, Jeff Heflin +2
Pretrained contextualized language models such as BERT have achieved impressive results on various natural language processing benchmarks. Benefiting from multiple pretraining task…
Impact of ImageNet Model Selection on Domain Adaptation
Youshan Zhang, Brian D. Davison
Deep neural networks are widely used in image classification problems. However, little work addresses how features from different deep neural networks affect the domain adaptation…
Leveraging Schema Labels to Enhance Dataset Search
Zhiyu Chen, Haiyan Jia, Jeff Heflin +1
A search engine's ability to retrieve desirable datasets is important for data sharing and reuse. Existing dataset search engines typically rely on matching queries to dataset desc…
Modified Distribution Alignment for Domain Adaptation with Pre-trained Inception ResNet
Youshan Zhang, Brian D. Davison
Deep neural networks have been widely used in computer vision. There are several well trained deep neural networks for the ImageNet classification challenge, which has played a sig…