This is a collection of my notes and paper reviews.

Machine Learning

Papers

• Auto-Encoding Variational Bayes
• Black box variational inference
• Fixing a broken elbo
• Variational Inference and Model Selection with Generalized Evidence Bounds

Notes

• Lecture notes

Computer Vision

Papers

• A Threshold selection method from Gray-Level Histograms
• Segmentation as selective search for object recognition

Notes

• Lecture notes

Deep Learning

Papers

• Deep learning (Nature, 2015)
• Distributed Representations of Words and Phrases and their Compositionality
• Dropout: A Simple Way to Prevent Neural Networks from Overfitting
• Gradient flow in Recurrent Nets
• Handwritten Digit Recognition with a Back-Propagation Network
• How to Construct Deep Recurrent Neural Networks
• ImageNet Classification with Deep Convolutional Neural Networks
• LSTM: A Search Space Odyssey
• Reducing the Dimensionality of Data with Neural Networks

Systems

Papers

• ARC: A Self-Tuning, Low Overhead Replacement Cache
• The Slab Allocator: An Object-Caching Kernel Memory Allocator
• A Comparison of Software and Hardware Techniques for x86 Virtualization
• Paper Review of 5 papers on MapReduce and GFS

Algorithms

Notes

• Lecture notes