A Generative Process for Sampling Contractive Auto-Encoders
Comments Appears in Proceedings of the 29th International Conference on Machine Learning (ICML 2012)
作者
Yoshua Bengio
Machine Learning
Large-Scale Feature Learning With Spike-and-Slab Sparse Coding
Comments Appears in Proceedings of the 29th International Conference on Machine Learning (ICML 2012). arXiv admin note: substantial text overlap with arXiv:1201.3382
Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription
Comments Appears in Proceedings of the 29th International Conference on Machine Learning (ICML 2012)
Spike-and-Slab Sparse Coding for Unsupervised Feature Discovery
On Training Deep Boltzmann Machines
Towards Open-Text Semantic Parsing via Multi-Task Learning of Structured Embeddings
Learning invariant features through local space contraction
Adding noise to the input of a model trained with a regularized objective
Autotagging music with conditional restricted Boltzmann machines
Adaptive Drift-Diffusion Process to Learn Time Intervals
Comments 9 pages, 4 figures
Adaptive Parallel Tempering for Stochastic Maximum Likelihood Learning of RBMs
Comments Presented at the "NIPS 2010 Workshop on Deep Learning and Unsupervised Feature Learning"
