Toward interactive training and evaluation

By Gregory Druck, Andrew McCallum. 2011

26 citations recorded by the source corpus.

How researchers see this paper

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

1. Yoshua Bengio
2. Trevor Darrell
3. Ruslan Salakhutdinov
4. Xiaogang Wang
5. Dacheng Tao
6. Li Fei-Fei
7. Kristen Grauman
8. Andrea Vedaldi

Citations in the corpus

• Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples (2017, methodology): “The method is similar to an approximation of the optimal allocation in stratified sampling proposed by Druck and McCallum [10].”
• A Lazy Man's Approach to Benchmarking: Semisupervised Classifier Evaluation and Recalibration (2013, background): “This work has since been generalized to other classifier performance metrics, such as precision and recall [8].”