| Neural Network Compression via Effective Filter Analysis and Hierarchical Pruning | Jun 7, 2022 | Network PruningNeural Network Compression | —Unverified | 0 |
| A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification | May 14, 2022 | image-classificationImage Classification | —Unverified | 0 |
| Revisiting Random Channel Pruning for Neural Network Compression | May 11, 2022 | Neural Network Compression | CodeCode Available | 0 |
| PPCD-GAN: Progressive Pruning and Class-Aware Distillation for Large-Scale Conditional GANs Compression | Mar 16, 2022 | Neural Network Compression | —Unverified | 0 |
| Approximate Bisimulation Relations for Neural Networks and Application to Assured Neural Network Compression | Feb 2, 2022 | Neural Network CompressionRelation | —Unverified | 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 |
| Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression | Nov 19, 2021 | Neural Network CompressionQuantization | —Unverified | 0 |
| VQN: Variable Quantization Noise for Neural Network Compression | Nov 16, 2021 | Neural Network CompressionQuantization | —Unverified | 0 |
| Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation | Oct 19, 2021 | Knowledge DistillationNeural Network Compression | CodeCode Available | 0 |
| Semi-tensor Product-based TensorDecomposition for Neural Network Compression | Sep 30, 2021 | Low-rank compressionNeural Network Compression | —Unverified | 0 |