| Parallel Blockwise Knowledge Distillation for Deep Neural Network Compression | Dec 5, 2020 | Knowledge DistillationNeural Network Compression | CodeCode Available | 0 |
| torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation | Nov 25, 2020 | Image ClassificationInstance Segmentation | —Unverified | 0 |
| Deep convolutional neural network compression via coupled tensor decomposition | Nov 16, 2020 | Image ReconstructionNeural Network Compression | CodeCode Available | 0 |
| Dirichlet Pruning for Neural Network Compression | Nov 10, 2020 | Neural Network CompressionVariational Inference | CodeCode Available | 0 |
| Neural Network Compression Via Sparse Optimization | Nov 10, 2020 | Model CompressionNeural Network Compression | —Unverified | 0 |
| Noisy Neural Network Compression for Analog Storage Devices | Oct 19, 2020 | Knowledge DistillationModel Compression | —Unverified | 0 |
| 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 |
| A Survey on Deep Neural Network Compression: Challenges, Overview, and Solutions | Oct 5, 2020 | Knowledge DistillationMiscellaneous | —Unverified | 0 |
| Transform Quantization for CNN (Convolutional Neural Network) Compression | Sep 2, 2020 | Dimensionality ReductionNeural Network Compression | —Unverified | 0 |
| Differentiable Joint Pruning and Quantization for Hardware Efficiency | Jul 20, 2020 | Neural Network CompressionQuantization | —Unverified | 0 |
