### Table of Contents

## Research Wiki

### Conference Summaries

### Dense CRF

### MT project

### Document Classification

### 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