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We propose a new active learning by query synthesis approach using Generative Adversarial Networks (GAN).
A theory of the learnable
L. G. Valiant and L. G · 1984
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Queries and concept learning
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Query Learning Can Work Poorly when a Human Oracle is Used, 1992
Kevin J. Lang and Eric B Baum · 1992
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Improving generalization with active learning
David Cohn, Les Atlas, and Richard Ladner · 1994
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Statistical learning theory
VN Vapnik and V Vapnik · 1998
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Query learning with large margin classifiers
Colin Campbell, Nello Cristianini, and Alex Smola · 2000
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Text Classification from Labeled and Unlabeled Documents using EM
Kamal Nigam, Andrew Kachites Mccallum, Sebastian Thrun, and Tom Mitchell · 2000
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Queries revisited
D Angluin · 2001
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Support Vector Machine Active Learning with Applications to Text Classification
Simon Tong and Daphne Koller · 2002
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Active Learning with Support Vector Machines in the Drug Discovery Process
Manfred K Warmuth, Jun Liao, Gunnar Rätsch, Michael Mathieson, Santosh Putta, and Christian Lemmen · 2002
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Online choice of active learning algorithms
Yoram Baram, Ran El Yaniv, and Kobi Luz · 2004
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Multimodal concept-dependent active learning for image retrieval
King-Shy Goh, Edward Y. Chang, and Wei-Cheng Lai · 2004
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Fast Kernel Classifiers with Online and Active Learning
Antoine Bordes, Şeyda Ertekin, Jason Weston, and Léon Bottou · 2005
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Analysis of a greedy active learning strategy
Sanjoy Dasgupta · 2005
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A general agnostic active learning algorithm
Sanjoy Dasgupta, Daniel Hsu, and Claire Monteleoni · 2007
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A bound on the label complexity of agnostic active learning
Steve Hanneke · 2007
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Self-taught Learning : Transfer Learning from Unlabeled Data
Rajat Raina, Alexis Battle, Honglak Lee, Benjamin Packer, and Andrew Y Ng · 2007
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Active learning for logistic regression: An evaluation
Andrew I. Schein and Lyle H. Ungar · 2007
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Incorporating diversity and density in active learning for relevance feedback
Z Xu, R Akella, and Y Zhang · 2007
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Importance Weighted Active Learning
Alina Beygelzimer, Sanjoy Dasgupta, and John Langford · 2008
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Hierarchical sampling for active learning
Sanjoy Dasgupta and Daniel Hsu · 2008
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Semi-Supervised SVM Batch Mode Active Learning with Applications to Image Retrieval
Steven C H Hoi, Rong Jin, Jianke Zhu, and Michael R Lyu · 2009
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Explaining and harnessing adversarial examples
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy · 2014
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Conditional Generative Adversarial Nets
Mehdi Mirza and Simon Osindero · 2014
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Active transfer learning under model shift
Xuezhi Wang, Tzu-Kuo Huang, and Jeff Schneider · 2014
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Multi-Class Active Learning by Uncertainty Sampling with Diversity Maximization
Yi Yang, Zhigang Ma, Feiping Nie, Xiaojun Chang, and Alexander G Hauptmann · 2014
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Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
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Multi-class active learning for image classification
A.J. Joshi, F. Porikli, and N. Papanikolopoulos · 2009
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Adaptive submodularity: A new approach to active learning and stochastic optimization
Daniel Golovin and Andreas Krause · 2010
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Interactive submodular set cover
Andrew Guillory and Jeff Bilmes · 2010
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Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning
Prateek Jain, Sudheendrasvnaras Vijayanarasimhan, Kristen Grauman, Prateek Jain, and Kristen Grauman · 2010
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Active learning literature survey
Burr Settles · 2010
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Two faces of active learning
Sanjoy Dasgupta · 2011
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Alec Radford, Luke Metz, and Soumith Chintala · 2015
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Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
Jost Tobias Springenberg · 2015
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InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, and Pieter Abbeel · 2016
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Deep Learning
Ian Goodfellow, Yoshua Bengio, and Aaron Courville · 2016
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Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Christian Ledig, Lucas Theis, Ferenc Huszar, Jose Caballero, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, and Wenzhe Shi · 2016
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Semi-supervised knowledge transfer for deep learning from private training data
Nicolas Papernot, Martín Abadi, Úlfar Erlingsson, Ian Goodfellow, and Kunal Talwar · 2016
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Improved Techniques for Training GANs
Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen · 2016
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Semantic Image Inpainting with Perceptual and Contextual Losses
Raymond Yeh, Chen Chen, Teck Yian Lim, Mark Hasegawa-Johnson, and Minh N. Do · 2016
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Generative Visual Manipulation on the Natural Image Manifold
Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman, and Alexei A. Efros · 2016
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Wasserstein GAN
Martin Arjovsky, Soumith Chintala, and Léon Bottou · 2017
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Improved training of wasserstein gans
Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky, Vincent Dumoulin, and Aaron Courville · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
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