korrents

Our readingWhat is a korrent?

A winning ticket wins on its initial weights: the connections it keeps started at values that happen to make training work.

Drawn from what Michael Carbin and Jonathan Frankle said

Subjectsneural networkspruning
What these subjects mean

neural networks The architecture almost all modern machine learning is built on, and what changes when it gets deeper.

pruning Cutting connections that are not doing the work — in a trained network, and in a developing brain.

What they actually said

  1. Michael Carbin Associate professor at MIT The winning tickets we find have won the initialization lottery: their connections have initial weights that make training particularly effective. Frankle & Carbin, "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" (arXiv)arxiv.org · 9 Mar 2018All 10 korrents from this piece
    Their wordsThe winning tickets we find have won the initialization lottery: their connections have initial weights that make training particularly effective.

    Where this was said

    ↗Frankle & Carbin, "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" (arXiv)arxiv.org

    9 Mar 2018

    All 10 korrents from this piecethis one is 8th

  2. Jonathan Frankle Chief AI scientist at Databricks The winning tickets we find have won the initialization lottery: their connections have initial weights that make training particularly effective. Frankle & Carbin, "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" (arXiv)arxiv.org · 9 Mar 2018All 10 korrents from this piece
    Their wordsThe winning tickets we find have won the initialization lottery: their connections have initial weights that make training particularly effective.

    Where this was said

    ↗Frankle & Carbin, "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" (arXiv)arxiv.org

    9 Mar 2018

    All 10 korrents from this piecethis one is 7th

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