Routing the Lottery: When Pruning Learns to Choose
Opening — Why this matters now For years, pruning has promised a neat trick: take a bloated neural network, snip away most of its parameters, and still walk away with comparable performance. The Lottery Ticket Hypothesis made this idea intellectually fashionable by suggesting that large networks secretly contain sparse “winning tickets” capable of learning just as well as their dense parents. ...