Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning
暂无分享,去创建一个
Tolga Tasdizen | Mehdi S. M. Sajjadi | Mehdi Sajjadi | Mehran Javanmardi | T. Tasdizen | Mehran Javanmardi
[1] Lawrence D. Jackel,et al. Handwritten Digit Recognition with a Back-Propagation Network , 1989, NIPS.
[2] Virginia R. de Sa,et al. Learning Classification with Unlabeled Data , 1993, NIPS.
[3] Yann LeCun,et al. Transformation Invariance in Pattern Recognition-Tangent Distance and Tangent Propagation , 1996, Neural Networks: Tricks of the Trade.
[4] David J. Miller,et al. A Mixture of Experts Classifier with Learning Based on Both Labelled and Unlabelled Data , 1996, NIPS.
[5] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[6] Avrim Blum,et al. The Bottleneck , 2021, Monopsony Capitalism.
[7] Ayhan Demiriz,et al. Semi-Supervised Support Vector Machines , 1998, NIPS.
[8] Thorsten Joachims,et al. Transductive Inference for Text Classification using Support Vector Machines , 1999, ICML.
[9] Avrim Blum,et al. Learning from Labeled and Unlabeled Data using Graph Mincuts , 2001, ICML.
[10] Zoubin Ghahramani,et al. Learning from labeled and unlabeled data with label propagation , 2002 .
[11] Zoubin Ghahramani,et al. Combining active learning and semi-supervised learning using Gaussian fields and harmonic functions , 2003, ICML 2003.
[12] Y. LeCun,et al. Learning methods for generic object recognition with invariance to pose and lighting , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[13] Xiaojin Zhu,et al. Semi-Supervised Learning Literature Survey , 2005 .
[14] Alexander Zien,et al. Semi-Supervised Learning , 2006 .
[15] Jason Weston,et al. Deep learning via semi-supervised embedding , 2008, ICML '08.
[16] Yann LeCun,et al. What is the best multi-stage architecture for object recognition? , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[17] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[18] Yoshua Bengio,et al. Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.
[19] Yann LeCun,et al. Convolutional networks and applications in vision , 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.
[20] Marc'Aurelio Ranzato,et al. Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition , 2010, ArXiv.
[21] Andrew Y. Ng,et al. Reading Digits in Natural Images with Unsupervised Feature Learning , 2011 .
[22] Nitish Srivastava,et al. Improving neural networks by preventing co-adaptation of feature detectors , 2012, ArXiv.
[23] Jürgen Schmidhuber,et al. Multi-column deep neural networks for image classification , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[24] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[25] Xiang Zhang,et al. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks , 2013, ICLR.
[26] Benjamin Graham,et al. Fractional Max-Pooling , 2014, ArXiv.
[27] Thomas Brox,et al. Discriminative Unsupervised Feature Learning with Convolutional Neural Networks , 2014, NIPS.
[28] Lin Sun,et al. DL-SFA: Deeply-Learned Slow Feature Analysis for Action Recognition , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[29] Benjamin Graham,et al. Spatially-sparse convolutional neural networks , 2014, ArXiv.
[30] Yong-Sheng Chen,et al. Batch-normalized Maxout Network in Network , 2015, ArXiv.
[31] Nitish Srivastava. Unsupervised Learning of Visual Representations using Videos , 2015 .
[32] Tapani Raiko,et al. Semi-supervised Learning with Ladder Networks , 2015, NIPS.
[33] Tong Zhang,et al. Semi-supervised Convolutional Neural Networks for Text Categorization via Region Embedding , 2015, NIPS.
[34] Kristen Grauman,et al. Learning Image Representations Tied to Ego-Motion , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[35] Jitendra Malik,et al. Learning to See by Moving , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[36] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[37] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[38] Alexei A. Efros,et al. Unsupervised Visual Representation Learning by Context Prediction , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[39] Kristen Grauman,et al. Slow and Steady Feature Analysis: Higher Order Temporal Coherence in Video , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[40] Tolga Tasdizen,et al. Mutual exclusivity loss for semi-supervised deep learning , 2016, 2016 IEEE International Conference on Image Processing (ICIP).
[41] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.