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| SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks | Jul 21, 2022 | Neural Network Compression | CodeCode Available | 1 |
| Learning Filter Basis for Convolutional Neural Network Compression | Aug 23, 2019 | General Classificationimage-classification | CodeCode Available | 1 |
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| Adaptive Error-Bounded Hierarchical Matrices for Efficient Neural Network Compression | Sep 11, 2024 | Efficient Neural NetworkNeural 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 |
| A Novel Structure-Agnostic Multi-Objective Approach for Weight-Sharing Compression in Deep Neural Networks | Jan 6, 2025 | Neural Network CompressionQuantization | —Unverified | 0 |
| DP-Net: Dynamic Programming Guided Deep Neural Network Compression | Mar 21, 2020 | ClusteringNeural Network Compression | —Unverified | 0 |
| Efficient and Robust Knowledge Distillation from A Stronger Teacher Based on Correlation Matching | Oct 9, 2024 | Knowledge DistillationNeural Network Compression | —Unverified | 0 |
| A novel channel pruning method for deep neural network compression | May 29, 2018 | channel selectionCombinatorial Optimization | —Unverified | 0 |
| Cascaded Projection: End-to-End Network Compression and Acceleration | Mar 12, 2019 | Neural Network Compression | —Unverified | 0 |
| A Comparative Study of Neural Network Compression | Oct 24, 2019 | L2 RegularizationNeural Network Compression | —Unverified | 0 |
| Build a Compact Binary Neural Network through Bit-level Sensitivity and Data Pruning | Feb 3, 2018 | Neural Network CompressionSensitivity | —Unverified | 0 |
| Boosting the Convergence of Reinforcement Learning-based Auto-pruning Using Historical Data | Jul 16, 2021 | Neural Network Compressionreinforcement-learning | —Unverified | 0 |
| A Bayesian Optimization Framework for Neural Network Compression | Oct 1, 2019 | Bayesian OptimizationKnowledge Distillation | —Unverified | 0 |
| Distilling Pixel-Wise Feature Similarities for Semantic Segmentation | Oct 31, 2019 | Knowledge DistillationNeural Network Compression | —Unverified | 0 |
| 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 |