| Similarity-Preserving Knowledge Distillation | Jul 23, 2019 | Knowledge DistillationNeural Network Compression | —Unverified | 0 |
| Weight Normalization based Quantization for Deep Neural Network Compression | Jul 1, 2019 | Model CompressionNeural Network Compression | —Unverified | 0 |
| COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning | Jun 25, 2019 | Model CompressionNeural Network Compression | CodeCode Available | 0 |
| Learning Sparse Networks Using Targeted Dropout | May 31, 2019 | Network PruningNeural Network Compression | CodeCode Available | 0 |
| DeepCABAC: Context-adaptive binary arithmetic coding for deep neural network compression | May 15, 2019 | Neural Network CompressionQuantization | —Unverified | 0 |
| NETWORK COMPRESSION USING CORRELATION ANALYSIS OF LAYER RESPONSES | May 1, 2019 | Domain AdaptationNeural Network Compression | —Unverified | 0 |
| SCANN: Synthesis of Compact and Accurate Neural Networks | Apr 19, 2019 | Dimensionality ReductionNeural Network Compression | —Unverified | 0 |
| Cramnet: Layer-wise Deep Neural Network Compression with Knowledge Transfer from a Teacher Network | Apr 11, 2019 | Neural Network CompressionTransfer Learning | —Unverified | 0 |
| Data-Free Learning of Student Networks | Apr 2, 2019 | Neural Network Compression | CodeCode Available | 2 |
| Online Multi-target regression trees with stacked leaf models | Mar 29, 2019 | Multi-target regressionNeural Network Compression | —Unverified | 0 |
