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Engram/n-gram may markedly amplify overfitting when data is repeated

A user ties the potential increase to data repetition; overfitting means fitting training examples too closely.

Songlin YangSY
3 Sources, 1h ago, first seen 1h ago

TLDR

A user suggests engram/n-gram may markedly amplify overfitting under data repetition, potentially causing a model to fit its training examples too closely.

Combined views

19

3 Sources, first seen 1h ago

10 reposts

Combined views

19

3 Sources, first seen 1h ago

10 reposts

Sentiment

Positive——Negative

Summary

Not enough discussion yet.

No sentiment analysis available yet.

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Sentiment

Positive——Negative

Summary

Not enough discussion yet.

No sentiment analysis available yet.

3 Sources

Songlin Yang@SonglinYang4RT @lee_joey50709: engram/n-gram may markedly amplify overfitting under data repeat1h
You Jiacheng@YouJiachengRecSys people: lol, that's why we only train one epoch1h
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    3 Sources

    Songlin Yang@SonglinYang4RT @lee_joey50709: engram/n-gram may markedly amplify overfitting under data repeat1h
    You Jiacheng@YouJiachengRecSys people: lol, that's why we only train one epoch1h
    Today's Rank

    #2

    Today's Rank

    #2