Factorized Topic Models
Comments ICLR 2013
期刊&会议
ICLR
International Conference on Learning Representations · 会议 · Machine Learning
Adaptive learning rates and parallelization for stochastic, sparse, non-smooth gradients
Comments Published at the First International Conference on Learning Representations (ICLR-2013). Public reviews are available at http://openreview.net/document/c14f2204-fd66-4d91-bed4-153523694041#c14f2204-fd66-4d91-bed4-153523694041
Herded Gibbs Sampling
Comments 19 pages, including the appendix. Submission for ICLR 2013
Auto-pooling: Learning to Improve Invariance of Image Features from Image Sequences
Comments 9 pages, 10 figures. Submission for ICLR 2013
Deep Predictive Coding Networks
Comments 13 Pages, 7 figures, submission for ICLR 2013
Latent Relation Representations for Universal Schemas
Comments 4 pages, ICLR workshop
Linear-Nonlinear-Poisson Neuron Networks Perform Bayesian Inference On Boltzmann Machines
Comments Submitted to International Conference of Learning Representation (ICLR) 2013
A Nested HDP for Hierarchical Topic Models
Comments Submitted to the workshop track of the International Conference on Learning Representations 2013. It is a short version of a longer paper
Complexity of Representation and Inference in Compositional Models with Part Sharing
Comments ICLR 2013
Recurrent Online Clustering as a Spatio-Temporal Feature Extractor in DeSTIN
Comments 3 pages, 2 figures, Submitted to ICLR 2013
Matrix Approximation under Local Low-Rank Assumption
Comments 3 pages, 2 figures, Workshop submission to the First International Conference on Learning Representations (ICLR)
