Literature

By W. Maley. 2010

Subfields: Computational Linguistics & Semantics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Linguistics & Semantics

1. Martial Hebert
2. Abhinav Kumar Gupta
3. Rob Fergus
4. Ross B. Girshick
5. Jianxiong Xiao

Citations in the corpus

• LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop (2015, background): “In many ways, this process is similar to active learning [14, 18, 3, 20].”
• Noisy Natural Gradient as Variational Inference (2017, background): “In the simplest active learning setting (Settles, 2010), an algorithm is given a set of unlabeled examples and, in each round, chooses one unlabeled example to have labeled.”
• Learning by Asking Questions (2017, background): “Active learning (AL) involves a collection of unlabeled examples and a learner that selects which samples will be labeled by an oracle [25, 32, 45, 50].”