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We propose a new active learning strategy designed for deep neural networks.
Query by committee
Seung, H Sebastian, Opper, Manfred, and Sompolinsky, Haim · 1992
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A sequential algorithm for training text classifiers
Lewis, David D and Gale, William A · 1994
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Active learning with statistical models
Cohn, David A, Ghahramani, Zoubin, and Jordan, Michael I · 1996
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Support vector machine active learning with applications to text classification
Tong, Simon and Koller, Daphne · 2001
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Incorporating diversity in active learning with support vector machines
Brinker, Klaus · 2003
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Analysis of a greedy active learning strategy
Dasgupta, Sanjoy · 2005
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Batch mode active learning and its application to medical image classification
Hoi, Steven CH, Jin, Rong, Zhu, Jianke, and Lyu, Michael R · 2006
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Active learning via transductive experimental design
Yu, Kai, Bi, Jinbo, and Tresp, Volker · 2006
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Margin based active learning
Balcan, Maria-Florina, Broder, Andrei, and Zhang, Tong · 2007
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Active learning with gaussian processes for object categorization
Kapoor, Ashish, Grauman, Kristen, Urtasun, Raquel, and Darrell, Trevor · 2007
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Active learning literature survey
Settles, Burr · 2010
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Active deep networks for semi-supervised sentiment classification
Zhou, Shusen, Chen, Qingcai, and Wang, Xiaolong · 2010
Cited alongside, same era.
Learning multiple-question decision trees for cold-start recommendation
Sun, Mingxuan, Li, Fuxin, Lee, Joonseok, Zhou, Ke, Lebanon, Guy, and Zha, Hongyuan · 2013
Cited alongside, same era.
Intriguing properties of neural networks
Szegedy, Christian, Zaremba, Wojciech, Sutskever, Ilya, Bruna, Joan, Erhan, Dumitru, Goodfellow, Ian, and Fergus, Rob · 2014
Cited alongside, same era.
Keras, 2015
Chollet, François et al · 2015
Cited alongside, same era.
Qbdc: Query by dropout committee for training deep supervised architecture
Ducoffe, Melanie and Precioso, Frederic · 2015
Cited alongside, same era.
Cost-effective active learning for deep image classification
Wang, Keze, Zhang, Dongyu, Li, Ya, Zhang, Ruimao, and Lin, Liang · 2016
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Deep active learning for dialogue generation
Asghar, Nabiha, Poupart, Pascal, Jiang, Xin, and Li, Hang · 2017
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Towards evaluating the robustness of neural networks
Carlini, Nicholas and Wagner, David · 2017
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Adversarial example defense: Ensembles of weak defenses are not strong
He, Warren, Wei, James, Chen, Xinyun, Carlini, Nicholas, and Song, Dawn · 2017
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Active decision boundary annotation with deep generative models
Huijser, Miriam W and van Gemert, Jan C · 2017
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Active Learning for Visual Question Answering: An Empirical Study
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Explaining and Harnessing Adversarial Examples
Goodfellow, I. J., Shlens, J., and Szegedy, C · 2015
Cited alongside, same era.
Submodularity in data subset selection and active learning
Wei, Kai, Iyer, Rishabh, and Bilmes, Jeff · 2015
Cited alongside, same era.
Theano: A python framework for fast computation of mathematical expressions
Al-Rfou, Rami, Alain, Guillaume, Almahairi, Amjad, Angermueller, Christof, Bahdanau, Dzmitry, Ballas, Nicolas, Bastien, Frédéric, Bayer, Justin, Belikov, Anatoly, Belopolsky, Alexander, et al · 2016
Cited alongside, same era.
Defensive distillation is not robust to adversarial examples
Carlini, Nicholas and Wagner, David · 2016
Cited alongside, same era.
Deep Bayesian active learning with image data
Gal, Yarin, Islam, Riashat, and Ghahramani, Zoubin · 2016
Cited alongside, same era.
Deepfool: a simple and accurate method to fool deep neural networks
Moosavi-Dezfooli, Seyed-Mohsen, Fawzi, Alhussein, and Frossard, Pascal · 2016
Cited alongside, same era.
Adversarial examples are not easily detected: Bypassing ten detection methods
Carlini, Nicholas and Wagner, David
Cited in the paper.
Lin, X. and Parikh, D · 2017
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Active gaminative text representation learning
Zhang, Ye, Lease, Matthew, and Wallace, Byron · 2017
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Active learning for convolutional neural networks: A core-set approach
Ozan Sener, Silvio Savarese · 2018
Closest in time.
Less is more: sampling chemical space with active learning
Smith, J. S., Nebgen, B., Lubbers, N., Isayev, O., and Roitberg, A. E · 2018
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Ensemble robustness and generalization of stochastic deep learning algorithms, 2018
Tom Zahavy, Bingyi Kang, Alex Sivak Jiashi Feng Huan Xu Shie Mannor · 2018
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Deep active learning for named entity recognition
Yanyao Shen, Hyokun Yun, Zachary C. Lipton Yakov Kronrod Animashree Anandkumar · 2018
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