A Hierarchical Importance-Guided Multi-objective Evolutionary Framework for Deep Neural Network Pruning
Fuente:
arXiv
Saved in:
| Main Authors: | Khan, Zak, Bidgoli, Azam Asilian |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Large-scale Multi-objective Feature Selection: A Multi-phase Search Space Shrinking Approach
by: Bidgoli, Azam Asilian, et al.
Published: (2024)
by: Bidgoli, Azam Asilian, et al.
Published: (2024)
A Novel Pareto-optimal Ranking Method for Comparing Multi-objective Optimization Algorithms
by: Ibrahim, Amin, et al.
Published: (2024)
by: Ibrahim, Amin, et al.
Published: (2024)
Multi-objective Binary Coordinate Search for Feature Selection
by: Miyandoab, Sevil Zanjani, et al.
Published: (2024)
by: Miyandoab, Sevil Zanjani, et al.
Published: (2024)
Compact NSGA-II for Multi-objective Feature Selection
by: Miyandoab, Sevil Zanjani, et al.
Published: (2024)
by: Miyandoab, Sevil Zanjani, et al.
Published: (2024)
Pruning as Evolution: Emergent Sparsity Through Selection Dynamics in Neural Networks
by: Shah, Zubair, et al.
Published: (2026)
by: Shah, Zubair, et al.
Published: (2026)
Integrating Pruning with Quantization for Efficient Deep Neural Networks Compression
by: Makenali, Sara, et al.
Published: (2025)
by: Makenali, Sara, et al.
Published: (2025)
A Two-stage Evolutionary Framework For Multi-objective Optimization
by: Chen, Peng, et al.
Published: (2024)
by: Chen, Peng, et al.
Published: (2024)
Evolutionary Spiking Neural Networks: A Survey
by: Shen, Shuaijie, et al.
Published: (2024)
by: Shen, Shuaijie, et al.
Published: (2024)
EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural Networks
by: Poyatos, Javier, et al.
Published: (2022)
by: Poyatos, Javier, et al.
Published: (2022)
Evolutionary Mapping of Neural Networks to Spatial Accelerators
by: Pierro, Alessandro, et al.
Published: (2026)
by: Pierro, Alessandro, et al.
Published: (2026)
Workload-Balanced Pruning for Sparse Spiking Neural Networks
by: Yin, Ruokai, et al.
Published: (2023)
by: Yin, Ruokai, et al.
Published: (2023)
A Multi-objective Evolutionary Algorithm Based on Bi-population with Uniform Sampling for Neural Architecture Search
by: Xue, Yu, et al.
Published: (2026)
by: Xue, Yu, et al.
Published: (2026)
Guiding Evolutionary AutoEncoder Training with Activation-Based Pruning Operators
by: Jorgensen, Steven, et al.
Published: (2025)
by: Jorgensen, Steven, et al.
Published: (2025)
Adaptively Pruned Spiking Neural Networks for Energy-Efficient Intracortical Neural Decoding
by: Rivelli, Francesca, et al.
Published: (2025)
by: Rivelli, Francesca, et al.
Published: (2025)
Migrant Resettlement by Evolutionary Multi-objective Optimization
by: Liu, Dan-Xuan, et al.
Published: (2023)
by: Liu, Dan-Xuan, et al.
Published: (2023)
Benchmarking Stopping Criteria for Evolutionary Multi-objective Optimization
by: Kitamura, Kenji, et al.
Published: (2026)
by: Kitamura, Kenji, et al.
Published: (2026)
Multi-Objective Evolutionary Neural Architecture Search for Recurrent Neural Networks
by: Booysen, Reinhard, et al.
Published: (2024)
by: Booysen, Reinhard, et al.
Published: (2024)
A Fitness-assignment Method for Evolutionary Constrained Multi-objective Optimization
by: Ajani, Oladayo S., et al.
Published: (2023)
by: Ajani, Oladayo S., et al.
Published: (2023)
A Latency Coding Framework for Deep Spiking Neural Networks with Ultra-Low Latency
by: Lu, Yi, et al.
Published: (2026)
by: Lu, Yi, et al.
Published: (2026)
G-EvoNAS: Evolutionary Neural Architecture Search Based on Network Growth
by: Zou, Juan, et al.
Published: (2024)
by: Zou, Juan, et al.
Published: (2024)
Small Contributions, Small Networks: Efficient Neural Network Pruning Based on Relative Importance
by: Hussien, Mostafa, et al.
Published: (2024)
by: Hussien, Mostafa, et al.
Published: (2024)
Developmental Plasticity-inspired Adaptive Pruning for Deep Spiking and Artificial Neural Networks
by: Han, Bing, et al.
Published: (2022)
by: Han, Bing, et al.
Published: (2022)
An Evolutionary Algorithm with Probabilistic Annealing for Large-scale Sparse Multi-objective Optimization
by: Shao, Shuai, et al.
Published: (2026)
by: Shao, Shuai, et al.
Published: (2026)
Decoupling Constraint from Two Direction in Evolutionary Constrained Multi-objective Optimization
by: Sun, Ruiqing, et al.
Published: (2025)
by: Sun, Ruiqing, et al.
Published: (2025)
Not Just for Archiving: Provable Benefits of Reusing the Archive in Evolutionary Multi-objective Optimization
by: Ren, Shengjie, et al.
Published: (2025)
by: Ren, Shengjie, et al.
Published: (2025)
Towards Efficient Deep Spiking Neural Networks Construction with Spiking Activity based Pruning
by: Li, Yaxin, et al.
Published: (2024)
by: Li, Yaxin, et al.
Published: (2024)
Surrogate-Assisted Evolution for Efficient Multi-branch Connection Design in Deep Neural Networks
by: Stapleton, Fergal, et al.
Published: (2025)
by: Stapleton, Fergal, et al.
Published: (2025)
A Newton Method for Hausdorff Approximations of the Pareto Front within Multi-objective Evolutionary Algorithms
by: Wang, Hao, et al.
Published: (2024)
by: Wang, Hao, et al.
Published: (2024)
Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness
by: Poyatos, Javier, et al.
Published: (2023)
by: Poyatos, Javier, et al.
Published: (2023)
A GPU Implementation of Multi-Guiding Spark Fireworks Algorithm for Efficient Black-Box Neural Network Optimization
by: Meng, Xiangrui, et al.
Published: (2025)
by: Meng, Xiangrui, et al.
Published: (2025)
Evolutionary Multi-Objective Diversity Optimization
by: Do, Anh Viet, et al.
Published: (2024)
by: Do, Anh Viet, et al.
Published: (2024)
Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong
by: O'Connor, Jim, et al.
Published: (2025)
by: O'Connor, Jim, et al.
Published: (2025)
Connectome-Guided Automatic Learning Rates for Deep Networks
by: He, Peilin, et al.
Published: (2025)
by: He, Peilin, et al.
Published: (2025)
An Experimental Approach for Running-Time Estimation of Multi-objective Evolutionary Algorithms in Numerical Optimization
by: Huang, Han, et al.
Published: (2025)
by: Huang, Han, et al.
Published: (2025)
A Theoretical Perspective on Why Stochastic Population Update Needs an Archive in Evolutionary Multi-objective Optimization
by: Ren, Shengjie, et al.
Published: (2025)
by: Ren, Shengjie, et al.
Published: (2025)
Aerial Reliable Collaborative Communications for Terrestrial Mobile Users via Evolutionary Multi-Objective Deep Reinforcement Learning
by: Sun, Geng, et al.
Published: (2025)
by: Sun, Geng, et al.
Published: (2025)
Morephy-Net: An Evolutionary Multi-objective Optimization for Replica-Exchange-based Physics-informed Neural Operator Learning Networks
by: Lu, Binghang, et al.
Published: (2025)
by: Lu, Binghang, et al.
Published: (2025)
SHA-CNN: Scalable Hierarchical Aware Convolutional Neural Network for Edge AI
by: Dhakad, Narendra Singh, et al.
Published: (2024)
by: Dhakad, Narendra Singh, et al.
Published: (2024)
EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning
by: Zheng, Bowen, et al.
Published: (2025)
by: Zheng, Bowen, et al.
Published: (2025)
A First Step Towards Runtime Analysis of Evolutionary Neural Architecture Search
by: Lv, Zeqiong, et al.
Published: (2024)
by: Lv, Zeqiong, et al.
Published: (2024)
Similar Items
-
Large-scale Multi-objective Feature Selection: A Multi-phase Search Space Shrinking Approach
by: Bidgoli, Azam Asilian, et al.
Published: (2024) -
A Novel Pareto-optimal Ranking Method for Comparing Multi-objective Optimization Algorithms
by: Ibrahim, Amin, et al.
Published: (2024) -
Multi-objective Binary Coordinate Search for Feature Selection
by: Miyandoab, Sevil Zanjani, et al.
Published: (2024) -
Compact NSGA-II for Multi-objective Feature Selection
by: Miyandoab, Sevil Zanjani, et al.
Published: (2024) -
Pruning as Evolution: Emergent Sparsity Through Selection Dynamics in Neural Networks
by: Shah, Zubair, et al.
Published: (2026)