| Adaptive Error-Bounded Hierarchical Matrices for Efficient Neural Network Compression | Sep 11, 2024 | Efficient Neural NetworkNeural Network Compression | —Unverified | 0 | 0 |
| Efficient and Robust Knowledge Distillation from A Stronger Teacher Based on Correlation Matching | Oct 9, 2024 | Knowledge DistillationNeural Network Compression | —Unverified | 0 | 0 |
| Efficient Micro-Structured Weight Unification and Pruning for Neural Network Compression | Jun 15, 2021 | Neural Network Compression | —Unverified | 0 | 0 |
| Efficient Neural Network Compression via Transfer Learning for Industrial Optical Inspection | Oct 20, 2018 | Neural Network CompressionTransfer Learning | —Unverified | 0 | 0 |
| End-to-End Neural Network Compression via _1_2 Regularized Latency Surrogates | Jun 9, 2023 | Neural Architecture SearchNeural Network Compression | —Unverified | 0 | 0 |
| Entropy-Constrained Training of Deep Neural Networks | Dec 18, 2018 | Neural Network Compression | —Unverified | 0 | 0 |
| EPSD: Early Pruning with Self-Distillation for Efficient Model Compression | Jan 31, 2024 | Knowledge DistillationModel Compression | —Unverified | 0 | 0 |
| Evaluation Metrics for DNNs Compression | May 18, 2023 | Neural Network CompressionObject | —Unverified | 0 | 0 |
| Generalized Ternary Connect: End-to-End Learning and Compression of Multiplication-Free Deep Neural Networks | Nov 12, 2018 | Edge-computingGeneral Classification | —Unverified | 0 | 0 |
| GranQ: Granular Zero-Shot Quantization with Channel-Wise Activation Scaling in QAT | Mar 24, 2025 | Neural Network CompressionQuantization | —Unverified | 0 | 0 |