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| DKM: Differentiable K-Means Clustering Layer for Neural Network Compression | Aug 28, 2021 | ClusteringModel Compression | —Unverified | 0 |
| Data-Free Knowledge Distillation with Soft Targeted Transfer Set Synthesis | Apr 10, 2021 | Data-free Knowledge DistillationKnowledge Distillation | —Unverified | 0 |
| Balanced and Deterministic Weight-sharing Helps Network Performance | Dec 13, 2023 | Neural Network Compression | —Unverified | 0 |
| Data-Driven Low-Rank Neural Network Compression | Jul 13, 2021 | Neural Network Compression | —Unverified | 0 |
| Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds | Apr 15, 2018 | Generalization BoundsNeural Network Compression | —Unverified | 0 |
| Automatic Parameter Tying in Neural Networks | Jan 1, 2018 | L2 RegularizationNeural Network Compression | —Unverified | 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 |
| Deep Neural Network Compression for Aircraft Collision Avoidance Systems | Oct 9, 2018 | Collision AvoidanceDecision Making | —Unverified | 0 |
| AcceRL: Policy Acceleration Framework for Deep Reinforcement Learning | Nov 28, 2022 | Decision MakingDeep Reinforcement Learning | —Unverified | 0 |