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Deep learning of representations for unsupervised and transfer learning

. Unsupervised and Transfer Learning Challenges in Machine Learning, (2012)

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Convolutional Networks for Images, Speech and Time Series, and . page 255--258. The MIT Press, (1995)Random Search for Hyper-Parameter Optimization, and . Journal of Machine Learning Research, 13 (Feb): 281-305 (2012)Deriving Differential Target Propagation from Iterating Approximate Inverses.. CoRR, (2020)Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation., and . Frontiers Comput. Neurosci., (2017)Leveraging Diffusion Disentangled Representations to Mitigate Shortcuts in Underspecified Visual Tasks., , , , and . CoRR, (2023)Inductive Biases for Deep Learning of Higher-Level Cognition., and . CoRR, (2020)Using Recurrent Neural Networks for Slot Filling in Spoken Language Understanding, , , , , , , , , and 1 other author(s). Audio, Speech, and Language Processing, IEEE/ACM Transactions on, 23 (3): 530--539 (2015)Focused Hierarchical RNNs for Conditional Sequence Processing., , , , , , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 2559-2568. PMLR, (2018)An empirical evaluation of deep architectures on problems with many factors of variation., , , , and . ICML, volume 227 of ACM International Conference Proceeding Series, page 473-480. ACM, (2007)Curriculum learning., , , and . ICML, volume 382 of ACM International Conference Proceeding Series, page 41-48. ACM, (2009)