| Guaranteed Quantization Error Computation for Neural Network Model Compression | Apr 26, 2023 | Model CompressionNeural Network Compression | —Unverified | 0 |
| Hardware-Guided Symbiotic Training for Compact, Accurate, yet Execution-Efficient LSTM | Jan 30, 2019 | Language ModelingLanguage Modelling | —Unverified | 0 |
| Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition | Sep 29, 2021 | image-classificationImage Classification | —Unverified | 0 |
| Coreset-Based Neural Network Compression | Jul 25, 2018 | Neural Network CompressionQuantization | —Unverified | 0 |
| HEMP: High-order Entropy Minimization for neural network comPression | Jul 12, 2021 | Neural Network CompressionQuantization | —Unverified | 0 |
| How Informative is the Approximation Error from Tensor Decomposition for Neural Network Compression? | May 9, 2023 | Neural Network CompressionTensor Decomposition | —Unverified | 0 |
| Hybrid Tensor Decomposition in Neural Network Compression | Jun 29, 2020 | Neural Network CompressionTensor Decomposition | —Unverified | 0 |
| Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds | Apr 15, 2018 | Generalization BoundsNeural Network Compression | —Unverified | 0 |
| Data-Driven Low-Rank Neural Network Compression | Jul 13, 2021 | Neural Network Compression | —Unverified | 0 |
| A Survey on Deep Neural Network Compression: Challenges, Overview, and Solutions | Oct 5, 2020 | Knowledge DistillationMiscellaneous | —Unverified | 0 |
