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We propose a new batch mode active learning algorithm designed for neural networks and large query batch sizes.
A sequential algorithm for training text classifiers
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Discriminative batch mode active learning
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Curious machines: Active learning with structured instances
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Multiple-instance active learning
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Krizhevsky, A. and Hinton, G · 2009
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Ben-David, S., Blitzer, J., Crammer, K., Kulesza, A., Pereira, F., and Vaughan, J. W · 2010
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Batch active learning via coordinated matching
Azimi, J., Fern, A., Zhang-Fern, X., Borradaile, G., and Heeringa, B · 2012
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Active learning
Settles, B · 2012
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Active learning for semantic segmentation with expected change
Vezhnevets, A., Buhmann, J. M., and Ferrari, V · 2012
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Near-optimal batch mode active learning and adaptive submodular optimization
Chen, Y. and Krause, A · 2013
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Intriguing properties of neural networks
Szegedy, C., Zaremba, W., Sutskever, I., Bruna, J., Erhan, D., Goodfellow, I., and Fergus, R · 2013
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Unsupervised domain adaptation by backpropagation
Ganin, Y. and Lempitsky, V · 2014
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Generative adversarial nets
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., and Bengio, Y · 2014
Deepfool: a simple and accurate method to fool deep neural networks
Moosavi-Dezfooli, S.-M., Fawzi, A., and Frossard, P · 2016
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Deep bayesian active learning with image data
Gal, Y., Islam, R., and Ghahramani, Z · 2017
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Deep active learning over the long tail
Geifman, Y. and El-Yaniv, R · 2017
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Generative adversarial active learning
Zhu, J.-J. and Bento, J · 2017
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Adversarial active learning for deep networks: a margin based approach
Ducoffe, M. and Precioso, F · 2018
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Adam: A method for stochastic optimization
Kingma, D. P. and Ba, J · 2014
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Very deep convolutional networks for large-scale image recognition
Simonyan, K. and Zisserman, A · 2014
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Submodularity in data subset selection and active learning
Wei, K., Iyer, R., and Bilmes, J · 2015
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Active learning for speech recognition: the power of gradients
Huang, J., Child, R., Rao, V., Liu, H., Satheesh, S., and Coates, A · 2016
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Dal implementation
Gissin, D
Cited in the paper.
Gurobi optimizer reference manual, 2018
Gurobi Optimization, L · 2018
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Technical report on the cleverhans v2.1.0 adversarial examples library
Papernot, N., Faghri, F., Carlini, N., Goodfellow, I., Feinman, R., Kurakin, A., Xie, C., Sharma, Y., Brown, T., Roy, A., Matyasko, A., Behzadan, V., Hambardzumyan, K., Zhang, Z., Juang, Y.-L., Li, Z., Sheatsley, R., Garg, A., Uesato, J., Gierke, W., Dong, Y., Berthelot, D., Hendricks, P., Rauber, J., and Long, R · 2018
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Active learning for convolutional neural networks: A core-set approach
Sener, O. and Savarese, S · 2018
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A benchmark and comparison of active learning for logistic regression
Yang, Y. and Loog, M · 2018
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