papers
summaries of papers that I have been reading
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what does it mean to understand a neural network?
NNs provide direction for neuroscience research.
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time2Vec: learning a vector representation of time
Learn time embeddings?!
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Tackling climate change with Machine Learning
High level overview of how different areas of machine learning can solve problem in different scientific areas/industries to help the fight against climate change
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GPT-1
The pre-cursor to GPT-2
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Transformer: attention is all you need
Let’s get transforming!
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GPT-2
What is all the hype about?
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A Distributional Perspective on Reinforcement Learning
Understanding distributional RL
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NMT of Rare words with Subword units
Trying to understand the basic byte-pair encoding work