# Topic: Lab41

I worked at Lab41 from 2015 and 2017. Part of my job was to write articles for
our blog, **Gab41**. There I covered some of the projects I worked on, but my
favorite and most popular posts were for the **reading group series** where I
reviewed some key papers in deep learning.

Lab41 has kindly given me permission to host the articles here. You can find
them below:

- [Matching Cars with Siamese Networks](/blog/lab41-matching-cars-with-siamese-networks/)
- [Object Localization without Deep Learning](/blog/lab41-object-localization-without-deep-learning/)
- [Lab41 Reading Group: Swapout: Learning an Ensemble of Deep Architectures](/blog/lab41-swapout/)
- [Lab41 Reading Group: Skip-Thought Vectors](/blog/lab41-skipthought-vectors/)
- [Lab41 Reading Group: Deep Residual Learning for Image Recognition](/blog/lab41-resnet/)
- [Lab41 Reading Group: Deep Compression](/blog/lab41-deep-compression/)
- [Lab41 Reading Group: Deep Networks with Stochastic Depth](/blog/lab41-stochastic-depth/)
- [Lab41 Reading Group: Generative Adversarial Nets](/blog/lab41-generative-adversarial-nets/)
- [Python2Vec: Word Embeddings for Source Code](/blog/lab41-python2vec/)
- [The Nine Must-Have Datasets for Investigating Recommender Systems](/blog/lab41-recommender-systems-datasets/)