A brief history of neural nets and deep learning Andrey Kurenkov 
Abridged List of Machine Learning Topics 
An Introduction to Conditional Random Fields Charles Sutton, Andrew McCallum 
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data John Lafferty, Andrew McCallum, Fernando Pereira 
Do we Need Hundreds of Classifiers to Solve Real World Classification Problems? Manuel FernándezDelgado, Eva Cernadas, Senén Barro, Dinani Amorim 
Machine Learning in Automated Text Categorization F Sebastiani  A must read paper.

Machine Learning: The HighInterest Credit Card of Technical Debt D. Sculley, Gary Holt, Daniel Golovin, Eugene Davydov, Todd Phillips, Dietmar Ebner, Vinay Chaudhary, Michael Young  See also an overview of the paper in the blog post.

MLcomp  MLcomp is a free website for objectively comparing machine learning programs across various datasets for multiple problem domains.

Reliable Reasoning: Induction and Statistical Learning Theory Gilbert Harman, Sanjeev Kulkarni 
Scaling to very very large corpora for natural language disambiguation Michele Banko, Eric Brill 
Statistical Machine Translation  The website is dedicated to research in statistical machine translation, i.e. the translation of text from one human language to another by a computer that learned how to translate from vast amounts of translated text.

tDistributed Stochastic Neighbor Embedding (tSNE)  a (prizewinning) technique for dimensionality reduction that is particularly well suited for the visualization of highdimensional datasets.

The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Trevor Hastie , Robert Tibshirani , Jerome Friedman 