NeurIPS 2021 / Data Mining

DP-SSL: Towards Robust Semi-Supervised Learning with a Few Labeled Samples

A robust semi-supervised learning paper that combines data programming signals with learning from few labeled examples.

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Research area

Weak supervision, robust learning, topic modeling, continual graph learning, and digital business experiments form the modern method line.

Publication record

Authors
Y Xu, Jiandong Ding, L Zhang, S Zhou
Venue
Advances in Neural Information Processing Systems (NeurIPS '21)
Year
2021
Area
Data Mining