暂无分享,去创建一个
Yann LeCun | Li Jing | Jure Zbontar | Yann LeCun | Li Jing | Jure Zbontar
[1] Surya Ganguli,et al. A mathematical theory of semantic development in deep neural networks , 2018, Proceedings of the National Academy of Sciences.
[2] Sepp Hochreiter,et al. GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium , 2017, NIPS.
[3] Nathan Srebro,et al. The Implicit Bias of Gradient Descent on Separable Data , 2017, J. Mach. Learn. Res..
[4] Yoshua Bengio,et al. Extracting and composing robust features with denoising autoencoders , 2008, ICML '08.
[5] Francis Bach,et al. Implicit Regularization of Discrete Gradient Dynamics in Deep Linear Neural Networks , 2019, NeurIPS.
[6] Kaiming He,et al. Momentum Contrast for Unsupervised Visual Representation Learning , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Bernhard Schölkopf,et al. From Variational to Deterministic Autoencoders , 2019, ICLR.
[8] Michael S. Lewicki,et al. Sparse Coding of Natural Images Using an Overcomplete Set of Limited Capacity Units , 2004, NIPS.
[9] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[10] Xiaogang Wang,et al. Deep Learning Face Attributes in the Wild , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).
[11] Oriol Vinyals,et al. Neural Discrete Representation Learning , 2017, NIPS.
[12] Christopher Burgess,et al. beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework , 2016, ICLR 2016.
[13] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[14] Yann LeCun,et al. Saturating Auto-Encoders , 2013, ICLR 2013.
[15] Sanjeev Arora,et al. Implicit Regularization in Deep Matrix Factorization , 2019, NeurIPS.
[16] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[17] Pascal Vincent,et al. Representation Learning: A Review and New Perspectives , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[18] Laurens van der Maaten,et al. Self-Supervised Learning of Pretext-Invariant Representations , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Pascal Vincent,et al. Contractive Auto-Encoders: Explicit Invariance During Feature Extraction , 2011, ICML.
[20] Nathan Srebro,et al. Implicit Regularization in Matrix Factorization , 2017, 2018 Information Theory and Applications Workshop (ITA).
[21] Nathan Srebro,et al. Implicit Bias of Gradient Descent on Linear Convolutional Networks , 2018, NeurIPS.
[22] Geoffrey E. Hinton,et al. A Simple Framework for Contrastive Learning of Visual Representations , 2020, ICML.
[23] Marc'Aurelio Ranzato,et al. Sparse Feature Learning for Deep Belief Networks , 2007, NIPS.
[24] Nadav Cohen,et al. Implicit Regularization in Deep Learning May Not Be Explainable by Norms , 2020, NeurIPS.
[25] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[26] Geoffrey E. Hinton,et al. Learning internal representations by error propagation , 1986 .