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Representation Learning: A Review and New Perspectives

, , and . IEEE Trans. Pattern Anal. Mach. Intell., 35 (8): 1798-1828 (2013)

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The Difficulty of Training Deep Architectures and the Effect of Unsupervised Pre-Training., , , , and . AISTATS, volume 5 of JMLR Proceedings, page 153-160. JMLR.org, (2009)Deep Learning using Robust Interdependent Codes., , and . AISTATS, volume 5 of JMLR Proceedings, page 312-319. JMLR.org, (2009)Why Does Unsupervised Pre-training Help Deep Learning?, , , and . AISTATS, volume 9 of JMLR Proceedings, page 201-208. JMLR.org, (2010)Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets.. ICLR (Workshop), (2015)A Closer Look at the Optimization Landscapes of Generative Adversarial Networks, , , , and . (2019)cite arxiv:1906.04848.Understanding Dimensional Collapse in Contrastive Self-supervised Learning., , , and . CoRR, (2021)Self-Supervised Disentanglement by Leveraging Structure in Data Augmentations., , , , , , and . CoRR, (2023)Discovering environments with XRM., , , , , and . CoRR, (2023)Online Adversarial Attacks., , , , , , and . CoRR, (2021)Adding noise to the input of a model trained with a regularized objective, , , and . CoRR, (2011)