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ml:nn_sparsity [2025/03/20 12:15] – [Neural Network Sparsity] jmflanigml:nn_sparsity [2025/05/07 17:59] (current) – [Related Pages] jmflanig
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 ===== Overviews ===== ===== Overviews =====
   * [[https://arxiv.org/pdf/2102.00554|Hoefler et al 2021 - Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks]]   * [[https://arxiv.org/pdf/2102.00554|Hoefler et al 2021 - Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks]]
 +
 +===== Papers =====
 +  * [[https://arxiv.org/pdf/2102.04010|Zhou et al 2021 - Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch]]
  
 ===== Related Pages ===== ===== Related Pages =====
   * [[Model Compression]]   * [[Model Compression]]
 +  * [[Model Compression#Pruning & Sparsification]]
 +  * [[mechanistic_interpretability#Sparse Autoencoders]]
ml/nn_sparsity.1742472924.txt.gz · Last modified: 2025/03/20 12:15 by jmflanig
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