| A Closer Look at Structured Pruning for Neural Network Compression | Oct 10, 2018 | Network PruningNeural Network Compression | CodeCode Available | 0 |
| DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression | Jan 26, 2019 | Network PruningNeural Network Compression | CodeCode Available | 0 |
| COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning | Jun 25, 2019 | Model CompressionNeural Network Compression | CodeCode Available | 0 |
| Magnitude and Similarity based Variable Rate Filter Pruning for Efficient Convolution Neural Networks | Dec 27, 2022 | Network PruningNeural Network Compression | CodeCode Available | 0 |
| Causal-DFQ: Causality Guided Data-free Network Quantization | Sep 24, 2023 | Data Free QuantizationNeural Network Compression | CodeCode Available | 0 |
| Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters | Sep 30, 2018 | Neural Network CompressionQuantization | CodeCode Available | 0 |
| Neural Network Compression of ACAS Xu Early Prototype is Unsafe: Closed-Loop Verification through Quantized State Backreachability | Jan 17, 2022 | Collision AvoidanceNeural Network Compression | CodeCode Available | 0 |
| Teacher-Class Network: A Neural Network Compression Mechanism | Apr 7, 2020 | image-classificationImage Classification | CodeCode Available | 0 |
| Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks | Sep 19, 2018 | CPUGPU | CodeCode Available | 0 |
| Deep Neural Network Compression with Single and Multiple Level Quantization | Mar 6, 2018 | Neural Network CompressionQuantization | CodeCode Available | 0 |
