| Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models | Sep 26, 2024 | Neural Network CompressionQuantization | CodeCode Available | 0 | 5 |
| 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 | 5 |
| COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning | Jun 25, 2019 | Model CompressionNeural Network Compression | CodeCode Available | 0 | 5 |
| Differentiable Fine-grained Quantization for Deep Neural Network Compression | Oct 20, 2018 | Neural Network CompressionQuantization | CodeCode Available | 0 | 5 |
| Improving Neural Network Quantization without Retraining using Outlier Channel Splitting | Jan 28, 2019 | Language ModelingLanguage Modelling | CodeCode Available | 0 | 5 |
| Dirichlet Pruning for Neural Network Compression | Nov 10, 2020 | Neural Network CompressionVariational Inference | CodeCode Available | 0 | 5 |
| Forward and Backward Information Retention for Accurate Binary Neural Networks | Sep 24, 2019 | BinarizationNeural Network Compression | CodeCode Available | 0 | 5 |
| Exact Backpropagation in Binary Weighted Networks with Group Weight Transformations | Jul 3, 2021 | BinarizationClassification with Binary Weight Network | CodeCode Available | 0 | 5 |
| Additive Tree-Structured Conditional Parameter Spaces in Bayesian Optimization: A Novel Covariance Function and a Fast Implementation | Oct 6, 2020 | Bayesian Optimizationglobal-optimization | CodeCode Available | 0 | 5 |
| Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks | Jun 7, 2021 | Generalization BoundsNeural Network Compression | CodeCode Available | 0 | 5 |
