Author Archive | Delip

The Doers and The Clarion Callers

There is an unnecessary drama unfolding on Twitter on “the war” between connectionists and symbolists. This drama is absurd and perpetuated by people whose relevance exists only in the discussion of the “difference” and the “war.” Most of us who are too busy learning or doing, happily occupy the liminal space between symbolism and connectionism. […]

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Joining AI Foundation

TL;DR: I am joining AI Foundation to help build uncanny content generation and detection systems A few friends and family knew this, but today, I am excited to announce widely that I joined the AI Foundation as their VP of Research. I am overseeing their deep learning/machine learning research roadmaps in speech, language, and vision for […]

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Differentiable Dynamic Programs and SparseMAP Inference

Two exciting NLP papers at ICML 2018! ICML 2018 accepts are out, and I am excited about two papers that I will briefly outline here. I think both papers are phenomenally good and will bring back structured prediction in NLP to modern deep learning architectures. Differentiable Dynamic Programming for Structured Prediction and Attention Arthur Mensch […]

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Everything is a Model

TLDR: I review a recent systems paper from Google, why it is a wake-up call to the industry, and the recipe it provides for nonlinear product thinking. Here, I will be enumerating my main takeaways from a recent paper, “The Case for Learned Index Structures” by Tim Kraska, Alex Beutel, Ed Chi, Jeffrey Dean, and […]

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