Why it matters

LTH illuminates network capacity + pruning. Understanding shapes sparsity research.

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The architecture

Train dense.

Prune small weights.

Reset remaining to init.

Retrain: matches dense.

Lottery ticket flowTrain densefull networkPrune + resetkeep top magnitudeRetrain sparsematches densePruning at initialization surprisingly finds winning tickets
Lottery ticket.
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How it works end to end

Iterative magnitude pruning.

Rewind to early training weights (not init).

Applications to LLM debated.