논문

Weight Pruning


NetAdapt

The Lottery Ticket Hypothesis

AMC

Lookahead Pruning

What is the state of neural network pruning?

Rethinking The Value Of Network Pruning

Stabilizing the Lottery Ticket Hypothesis

Comparing Rewinding and Fine-tuning in Neural Network Pruning

Linear Mode Connectivity and The Lottery Ticket Hypothesis

One ticket to win them all: Generalizing lottery ticket initializations across datasets and optimizers

Deconstructing lottery tickets: Zeros, signs, and the supermask

Drawing Early-Bird Tickets: Towards more efficient training of deep networks

The early phase of neural network training

Pruning neural networks without any data by iteratively conserving synaptic flow

How many degrees of freedom do we need to train deep networks: a loss landscape perspective

[Fast Sparse ConvNets](https://ingenjoy.notion.site/Fast-Sparse-ConvNets-165308e269248120945cfbf27adf6cb8)

Rigging the Lottery: Making All tickets Winners