Single Paper Summaries

Machine Learning is a field operating at unusually high speeds, and, especially as someone with paid work in applied environments, I'm acutely aware of the need to put in active effort to keep up with technical advances. For me, the best way to confirm my understanding of something is to set myself the task of summarizing or explaining it. These two facts form the genesis of my ongoing project to summarize research papers, often done during month-long sprints of a paper a day, which I've so far repeated three times.

Multi-Agent Learning

Model-Based & Curiosity-Based Reinforcement Learning

Other Reinforcement Learning

Generative Modeling

Language/Sequence Modeling

Adversarial Attacks

Meta Learning

Optimization

Miscellaneous

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