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[AutoMLConf'22]: GSparsity: Unifying Network Pruning and Neural Architecture Search by Group Teaser
Towards Efficient Model Compression via Learned Global Ranking
[Part 1] A Crash Course on Model Compression for Data Scientists
CS480/680 Lecture 6: Model compression for NLP (Ashutosh Adhikari)
MDP: Multidimensional Vision Model Pruning with Latency Constraint - CVPR 2025
CUP: Cluster Pruning for Compressing Deep Neural Networks
Inder Preet - Pruning and quantization for deep neural networks
Structured Pruning Learns Compact and Accurate Models
CVPR 2025: Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training
Pavana Prakash@UH: OPQ: Compressing Deep Neural Networks with One-Shot Pruning-Quantization
Pruning without data! - A Privacy-aware DNN Pruning and Mobile Acceleration
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Last Updated: August 16, 2026
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![[AutoMLConf'22]: GSparsity: Unifying Network Pruning and Neural Architecture Search by Group Teaser](https://i.ytimg.com/vi/QZaoyan6464/mqdefault.jpg)
![[Part 1] A Crash Course on Model Compression for Data Scientists](https://i.ytimg.com/vi/L1uuKPxNsHE/mqdefault.jpg)
