9 citations · 9 across the 1 of their papers we have counts for
2 papers
cs.LG2022★ 9 cited
Semi-Supervised Clustering with Contrastive Learning for Discovering New Intents
Feng Wei, Zhenbo Chen, Zhenghong Hao +4
Most dialogue systems in real world rely on predefined intents and answers for QA service, so discovering potential intents from large corpus previously is really important for bui…
cs.SI2018
Semisupervised Learning on Heterogeneous Graphs and its Applications to Facebook News Feed
Cheng Ju, James Li, Bram Wasti +1
Graph-based semi-supervised learning is a fundamental machine learning problem, and has been well studied. Most studies focus on homogeneous networks (e.g. citation network, friend…