Improving Semi-Supervised Learning with Auxiliary Deep Generative Models
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Ole Winther | Casper Kaae Sønderby | Søren Kaae Sønderby | Lars Maaløe | O. Winther | C. Sønderby | Lars Maaløe
[1] Thorsten Joachims,et al. Transductive Inference for Text Classification using Support Vector Machines , 1999, ICML.
[2] Avrim Blum,et al. Learning from Labeled and Unlabeled Data using Graph Mincuts , 2001, ICML.
[3] Zoubin Ghahramani,et al. Combining active learning and semi-supervised learning using Gaussian fields and harmonic functions , 2003, ICML 2003.
[4] Sebastian Thrun,et al. Text Classification from Labeled and Unlabeled Documents using EM , 2000, Machine Learning.
[5] David Barber,et al. An Auxiliary Variational Method , 2004, ICONIP.
[6] Marc'Aurelio Ranzato,et al. Semi-supervised learning of compact document representations with deep networks , 2008, ICML '08.
[7] Fei-Fei Li,et al. ImageNet: A large-scale hierarchical image database , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[8] Yoshua Bengio,et al. Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.
[9] Pascal Vincent,et al. The Manifold Tangent Classifier , 2011, NIPS.
[10] Razvan Pascanu,et al. Theano: new features and speed improvements , 2012, ArXiv.
[11] Hossein Mobahi,et al. Deep Learning via Semi-supervised Embedding , 2012, Neural Networks: Tricks of the Trade.
[12] Harri Valpola,et al. From neural PCA to deep unsupervised learning , 2014, ArXiv.
[13] Daan Wierstra,et al. Stochastic Backpropagation and Approximate Inference in Deep Generative Models , 2014, ICML.
[14] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[15] Max Welling,et al. Semi-supervised Learning with Deep Generative Models , 2014, NIPS.
[16] Lourdes Agapito,et al. Semi-supervised Learning Using an Unsupervised Atlas , 2014, ECML/PKDD.
[17] Colin Raffel,et al. Lasagne: First release. , 2015 .
[18] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[19] Tapani Raiko,et al. Semi-supervised Learning with Ladder Networks , 2015, NIPS.
[20] Shin Ishii,et al. Distributional Smoothing with Virtual Adversarial Training , 2015, ICLR 2016.
[21] Ruslan Salakhutdinov,et al. Importance Weighted Autoencoders , 2015, ICLR.
[22] Dustin Tran,et al. Hierarchical Variational Models , 2015, ICML.