Sparse Coding with Multi-Layer Decoders using Variance Regularization
暂无分享,去创建一个
[1] Kyle L. Luther,et al. Sensitivity of Sparse Codes to Image Distortions , 2022, Neural Computation.
[2] Yann LeCun,et al. VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning , 2021, ICLR.
[3] Yann LeCun,et al. Barlow Twins: Self-Supervised Learning via Redundancy Reduction , 2021, ICML.
[4] Nicu Sebe,et al. When Dictionary Learning Meets Deep Learning: Deep Dictionary Learning and Coding Network for Image Recognition With Limited Data , 2020, IEEE Transactions on Neural Networks and Learning Systems.
[5] Pierre H. Richemond,et al. Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning , 2020, NeurIPS.
[6] Yiwen Guo,et al. Sparse Coding with Gated Learned ISTA , 2020, ICLR.
[7] Kenichi Ohki,et al. Natural images are reliably represented by sparse and variable populations of neurons in visual cortex , 2020, Nature Communications.
[8] Ross B. Girshick,et al. Momentum Contrast for Unsupervised Visual Representation Learning , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Roderick Murray-Smith,et al. Variational Sparse Coding , 2019, UAI.
[10] Liyi Dai,et al. Deep Dictionary Learning: A PARametric NETwork Approach , 2018, IEEE Transactions on Image Processing.
[11] Adam S. Charles,et al. Sparse-Coding Variational Auto-Encoders , 2018, bioRxiv.
[12] Bruno A. Olshausen,et al. The Sparse Manifold Transform , 2018, NeurIPS.
[13] Ivor W. Tsang,et al. SC2Net: Sparse LSTMs for Sparse Coding , 2018, AAAI.
[14] Yap-Peng Tan,et al. Nonlinear dictionary learning with application to image classification , 2018, Pattern Recognit..
[15] Trac D. Tran,et al. Supervised Deep Sparse Coding Networks , 2017, 2018 25th IEEE International Conference on Image Processing (ICIP).
[16] Efstratios Gavves,et al. Self-Supervised Video Representation Learning with Odd-One-Out Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Mayank Vatsa,et al. Deep Dictionary Learning , 2016, IEEE Access.
[18] Martial Hebert,et al. Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification , 2016, ECCV.
[19] David Zhang,et al. A Survey of Sparse Representation: Algorithms and Applications , 2015, IEEE Access.
[20] Yoshua Bengio,et al. Difference Target Propagation , 2014, ECML/PKDD.
[21] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[22] Jean Ponce,et al. Sparse Modeling for Image and Vision Processing , 2014, Found. Trends Comput. Graph. Vis..
[23] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[24] Yanjun Qi,et al. Unsupervised Feature Learning by Deep Sparse Coding , 2013, SDM.
[25] David B. Dunson,et al. Deep Learning with Hierarchical Convolutional Factor Analysis , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[26] Pascal Vincent,et al. Representation Learning: A Review and New Perspectives , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[27] Graham W. Taylor,et al. Adaptive deconvolutional networks for mid and high level feature learning , 2011, 2011 International Conference on Computer Vision.
[28] Andrew Y. Ng,et al. The Importance of Encoding Versus Training with Sparse Coding and Vector Quantization , 2011, ICML.
[29] Vincent Lepetit,et al. Are sparse representations really relevant for image classification? , 2011, CVPR 2011.
[30] Y-Lan Boureau,et al. Learning Convolutional Feature Hierarchies for Visual Recognition , 2010, NIPS.
[31] Yann LeCun,et al. Learning Fast Approximations of Sparse Coding , 2010, ICML.
[32] Graham W. Taylor,et al. Deconvolutional networks , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[33] Yann LeCun,et al. What is the best multi-stage architecture for object recognition? , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[34] Yihong Gong,et al. Linear spatial pyramid matching using sparse coding for image classification , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[35] Fei-Fei Li,et al. ImageNet: A large-scale hierarchical image database , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[36] Guillermo Sapiro,et al. Online dictionary learning for sparse coding , 2009, ICML '09.
[37] Honglak Lee,et al. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations , 2009, ICML '09.
[38] Marc Teboulle,et al. A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems , 2009, SIAM J. Imaging Sci..
[39] Guillermo Sapiro,et al. Supervised Dictionary Learning , 2008, NIPS.
[40] Yoshua Bengio,et al. Extracting and composing robust features with denoising autoencoders , 2008, ICML '08.
[41] Guillermo Sapiro,et al. Discriminative learned dictionaries for local image analysis , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[42] Michael Elad,et al. Sparse Representation for Color Image Restoration , 2008, IEEE Transactions on Image Processing.
[43] Rajat Raina,et al. Self-taught learning: transfer learning from unlabeled data , 2007, ICML '07.
[44] Yoshua. Bengio,et al. Learning Deep Architectures for AI , 2007, Found. Trends Mach. Learn..
[45] Rajat Raina,et al. Efficient sparse coding algorithms , 2006, NIPS.
[46] Marc'Aurelio Ranzato,et al. Efficient Learning of Sparse Representations with an Energy-Based Model , 2006, NIPS.
[47] Michael Elad,et al. Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries , 2006, IEEE Transactions on Image Processing.
[48] A. Bruckstein,et al. K-SVD : An Algorithm for Designing of Overcomplete Dictionaries for Sparse Representation , 2005 .
[49] P. Földiák,et al. Forming sparse representations by local anti-Hebbian learning , 1990, Biological Cybernetics.
[50] Aapo Hyvärinen,et al. Bubbles: a unifying framework for low-level statistical properties of natural image sequences. , 2003, Journal of the Optical Society of America. A, Optics, image science, and vision.
[51] Terrence J. Sejnowski,et al. Slow Feature Analysis: Unsupervised Learning of Invariances , 2002, Neural Computation.
[52] David J. Field,et al. Sparse coding with an overcomplete basis set: A strategy employed by V1? , 1997, Vision Research.
[53] David J. Field,et al. Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.
[54] Peter Földiák,et al. Learning Invariance from Transformation Sequences , 1991, Neural Comput..