47 citations · 87 across the 6 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.CL2019
Learning with Noisy Labels for Sentence-level Sentiment Classification
Hao Wang, Bing Liu, Chaozhuo Li +2
Deep neural networks (DNNs) can fit (or even over-fit) the training data very well. If a DNN model is trained using data with noisy labels and tested on data with clean labels, the…
cs.AI2019★ 23 cited
Forward and Backward Knowledge Transfer for Sentiment Classification
Hao Wang, Bing Liu, Shuai Wang +2
This paper studies the problem of learning a sequence of sentiment classification tasks. The learned knowledge from each task is retained and used to help future or subsequent task…
cs.LG2019★ 16 cited
Spectral Perturbation Meets Incomplete Multi-view Data
Hao Wang, Linlin Zong, Bing Liu +2
Beyond existing multi-view clustering, this paper studies a more realistic clustering scenario, referred to as incomplete multi-view clustering, where a number of data instances ar…