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| A Bayesian Optimization Framework for Neural Network Compression | Oct 1, 2019 | Bayesian OptimizationKnowledge Distillation | —Unverified | 0 | 0 |
| ABKD: Graph Neural Network Compression with Attention-Based Knowledge Distillation | Oct 24, 2023 | Drug DiscoveryFake News Detection | —Unverified | 0 | 0 |
| AcceRL: Policy Acceleration Framework for Deep Reinforcement Learning | Nov 28, 2022 | Decision MakingDeep Reinforcement Learning | —Unverified | 0 | 0 |
| A Comparative Study of Neural Network Compression | Oct 24, 2019 | L2 RegularizationNeural Network Compression | —Unverified | 0 | 0 |
| A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification | May 14, 2022 | image-classificationImage Classification | —Unverified | 0 | 0 |
| Adversarial Network Compression | Mar 28, 2018 | Neural Network CompressionTransfer Learning | —Unverified | 0 | 0 |
| An Efficient Real-Time Object Detection Framework on Resource-Constricted Hardware Devices via Software and Hardware Co-design | Aug 2, 2024 | Model CompressionNeural Network Compression | —Unverified | 0 | 0 |
| A novel channel pruning method for deep neural network compression | May 29, 2018 | channel selectionCombinatorial Optimization | —Unverified | 0 | 0 |
| A Novel Structure-Agnostic Multi-Objective Approach for Weight-Sharing Compression in Deep Neural Networks | Jan 6, 2025 | Neural Network CompressionQuantization | —Unverified | 0 | 0 |
