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    Can a small network learn new digits without losing the old ones?

    A user highlights results on evaluation, loss scaling and synthetic replay from automated research they assigned to Claude.

    AK
    1 Source, 14d ago, first seen 14d ago

    TLDR

    A user says they had Claude conduct automated research on a toy continual learning problem: whether a small network could learn new digits without losing previously learned ones. They point to results involving evaluation, loss scaling and synthetic replay.

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    1 Source, first seen 14d ago

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    Combined views

    2.4K

    1 Source, first seen 14d ago

    32 likes
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    2 comments
    9 saves
    4 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    1 Source

    @BlackHCA while ago I had Claude do some automated research on a toy continual learning problem, then forgot to post about it. Can a small network learn new digits without losing the old ones? A few interesting results on evaluation, loss scaling and synthetic replay:

    1 Source

    @BlackHCA while ago I had Claude do some automated research on a toy continual learning problem, then forgot to post about it. Can a small network learn new digits without losing the old ones? A few interesting results on evaluation, loss scaling and synthetic replay: