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Inder Preet - Pruning and quantization for deep neural networks
Making Neural Networks Smaller: Quantization and Pruning | PrismML
tinyML Talks - Igor Fedorov: Sparse Architecture Search for CNNs on Resource-Constrained...
tinyML Research Symposium 2021: Quantization-Guided Training for Compact TinyML Models
EE545 (Week 6) More on Quantization and Quantization Aware Training (Part II)
Quantization vs Pruning vs Distillation: Optimizing NNs for Inference
tinyML Talks: From the lab to the edge: Post-Training Compression
TinyML Special Topics - Song Han - MCUNet: Tiny Deep Learning on IoT Devices
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Last Updated: August 16, 2026
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