Research Journals
MT project
Naive Bayes sentiment
Recursive neural networks
Oct. 10 the number of paramters
Oct. 11 Visualizations of t-sne word embeddings
Oct. 20 VOC challenge experiment 1
3-way factored RBM variants
July 15 2 way factored RBM and Gibbs sampling
July 23 Rolands Model on the GPU
July 31 Rolands Model with hidden layer
Aug 1 Normalizing Digits with Gibbs Sampling
Aug 24 An investigation into how 3-way model works with Rectified Linear Units
Transformational Neural network
Oct 12 Transformation Matrix Through Feed-forward Net
Oct 25 Feed-forward net for predicting coordinates
The energy functions of 3-way factored models
Oct 25 Feed-forward net for predicting coordinates2
Oct 30 Predicting Rotation and Translation using a Feedforward Neural Net
Nov 8 To Coordinate Space with just translations
Nov 18 To Coordinate Space with a Full Matrix
Nov 19 An investigation of transformational neural net: histograms, pooling, and gating units
Nov 23 Same net with very small modules
Jan 11 A problem with capsules
Feb 2 Capsules for RBM (requested by others)
My Notes
Machine Learning Reading
3 Way RBM
General ML
Sparse Codes and Spikes - Olshausen Summary for Sparse Codes and Spikes by Bruno Olshausen
Scholarpedia Article on Boltzmann Machine
Energy Based Model for ICA by G.Hinton et al
binary_mcrbm.pdf Learning to represent visual input by G. Hinton
Russ's paper on deep Boltzmann machines : rolandnc.pdf
Roland's paper on transformation: rolandnc.pdf
Did Not Finish Yet
Topographic Product Models Applied To Natural Scene Statistics
Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition
gradient based learning applied to document recognition
Learning distinct and complementary feature-selectivities from Natural Colour Videos
