Co-occurring keywords · papers mentioning both
Papers
SparK: Query-Aware Unstructured Sparsity with Recoverable KV Cache Channel Pruning
AAAI 2026
Accelerating Linear Recurrent Neural Networks for the Edge with Unstructured Sparsity
ICML 2025
Advancing Weight and Channel Sparsification with Enhanced Saliency
WACV 2025
EvoPress: Accurate Dynamic Model Compression via Evolutionary Search
ICML 2025
Pruning Foundation Models for High Accuracy without Retraining
EMNLP 2024
Sparse maximal update parameterization: A holistic approach to sparse training dynamics
NeurIPS 2024
LCS: Learning Compressible Subspaces for Efficient, Adaptive, Real-Time Network Compression at Inference Time
WACV 2023
SparseGPT: Massive Language Models Can be Accurately Pruned in One-Shot
ICML 2023
SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge
ICML 2023
Soft Threshold Weight Reparameterization for Learnable Sparsity
ICML 2020