1 citations · 2 across the 3 of their papers we have counts for
4 papers
Incremental user embedding modeling for personalized text classification
Ruixue Lian, Che-Wei Huang, Yuqing Tang +3
Individual user profiles and interaction histories play a significant role in providing customized experiences in real-world applications such as chatbots, social media, retail, an…
Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning
Jason Wei, Chengyu Huang, Soroush Vosoughi +2
Few-shot text classification is a fundamental NLP task in which a model aims to classify text into a large number of categories, given only a few training examples per category. Th…
Text Augmentation in a Multi-Task View
Jason Wei, Chengyu Huang, Shiqi Xu +1
Traditional data augmentation aims to increase the coverage of the input distribution by generating augmented examples that strongly resemble original samples in an online fashion…
AutoShrink: A Topology-aware NAS for Discovering Efficient Neural Architecture
Tunhou Zhang, Hsin-Pai Cheng, Zhenwen Li +4
Resource is an important constraint when deploying Deep Neural Networks (DNNs) on mobile and edge devices. Existing works commonly adopt the cell-based search approach, which limit…