Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness
Fuente:
arXiv
Saved in:
| Main Authors: | Poyatos, Javier, Molina, Daniel, Martínez, Aitor, Del Ser, Javier, Herrera, Francisco |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
The Paradox of Success in Evolutionary and Bioinspired Optimization: Revisiting Critical Issues, Key Studies, and Methodological Pathways
by: Molina, Daniel, et al.
Published: (2025)
by: Molina, Daniel, et al.
Published: (2025)
Learning Neuron Dynamics within Deep Spiking Neural Networks
by: Jahns, Eric, et al.
Published: (2025)
by: Jahns, Eric, et al.
Published: (2025)
Developing Convolutional Neural Networks using a Novel Lamarckian Co-Evolutionary Algorithm
by: Sharifi, Zaniar, et al.
Published: (2024)
by: Sharifi, Zaniar, et al.
Published: (2024)
AiGAS-dEVL-RC: An Adaptive Growing Neural Gas Model for Recurrently Drifting Unsupervised Data Streams
by: Arostegi, Maria, et al.
Published: (2025)
by: Arostegi, Maria, et al.
Published: (2025)
Alternate Loss Functions for Classification and Robust Regression Can Improve the Accuracy of Artificial Neural Networks
by: Noel, Mathew Mithra, et al.
Published: (2023)
by: Noel, Mathew Mithra, et al.
Published: (2023)
PC-SNN: Predictive Coding-based Local Hebbian Plasticity Learning in Spiking Neural Networks
by: Wang, Haidong, et al.
Published: (2022)
by: Wang, Haidong, et al.
Published: (2022)
Learned Neural Physics Simulation for Articulated 3D Human Pose Reconstruction
by: Andriluka, Mykhaylo, et al.
Published: (2024)
by: Andriluka, Mykhaylo, et al.
Published: (2024)
AiGAS-dEVL: An Adaptive Incremental Neural Gas Model for Drifting Data Streams under Extreme Verification Latency
by: Arostegi, Maria, et al.
Published: (2024)
by: Arostegi, Maria, et al.
Published: (2024)
A Bird Song Detector for improving bird identification through Deep Learning: a case study from Doñana
by: Márquez-Rodríguez, Alba, et al.
Published: (2025)
by: Márquez-Rodríguez, Alba, et al.
Published: (2025)
Controlling Recurrent Neural Networks by Conceptors
by: Jaeger, Herbert
Published: (2014)
by: Jaeger, Herbert
Published: (2014)
Neural Attention: A Novel Mechanism for Enhanced Expressive Power in Transformer Models
by: DiGiugno, Andrew, et al.
Published: (2025)
by: DiGiugno, Andrew, et al.
Published: (2025)
Comparative Analysis of Indicators for Multiobjective Diversity Optimization
by: Pereverdieva, Ksenia, et al.
Published: (2024)
by: Pereverdieva, Ksenia, et al.
Published: (2024)
Pulling Back the Curtain on Deep Networks
by: Satkiewicz, Maciej, et al.
Published: (2025)
by: Satkiewicz, Maciej, et al.
Published: (2025)
Enhanced Protein Intrinsic Disorder Prediction Through Dual-View Multiscale Features and Multi-objective Evolutionary Algorithm
by: Wang, Shaokuan, et al.
Published: (2026)
by: Wang, Shaokuan, et al.
Published: (2026)
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects
by: Poyatos, Javier, et al.
Published: (2024)
by: Poyatos, Javier, et al.
Published: (2024)
Implementing Online Reinforcement Learning with Clustering Neural Networks
by: Smith, James E.
Published: (2024)
by: Smith, James E.
Published: (2024)
A Technical Note on the Architectural Effects on Maximum Dependency Lengths of Recurrent Neural Networks
by: Kent, Jonathan S., et al.
Published: (2024)
by: Kent, Jonathan S., et al.
Published: (2024)
Breaching the Bottleneck: Evolutionary Transition from Reward-Driven Learning to Reward-Agnostic Domain-Adapted Learning in Neuromodulated Neural Nets
by: Arnold, Solvi, et al.
Published: (2024)
by: Arnold, Solvi, et al.
Published: (2024)
Interactive LLM-assisted Curriculum Learning for Multi-Task Evolutionary Policy Search
by: Sakallioglu, Berfin, et al.
Published: (2026)
by: Sakallioglu, Berfin, et al.
Published: (2026)
Towards Scaling Deep Neural Networks with Predictive Coding: Theory and Practice
by: Innocenti, Francesco
Published: (2025)
by: Innocenti, Francesco
Published: (2025)
Theoretical Analysis of the Advantage of Deepening Neural Networks
by: Esaki, Yasushi, et al.
Published: (2020)
by: Esaki, Yasushi, et al.
Published: (2020)
Evolutionary Algorithms Simulating Molecular Evolution: A New Field Proposal
by: Browning Jr., James S. L., et al.
Published: (2024)
by: Browning Jr., James S. L., et al.
Published: (2024)
Fine-Pruning: A Biologically Inspired Algorithm for Personalization of Machine Learning Models
by: Bingham, Joseph, et al.
Published: (2026)
by: Bingham, Joseph, et al.
Published: (2026)
Constrained Hybrid Metaheuristic Algorithm for Probabilistic Neural Networks Learning
by: Kowalski, Piotr A., et al.
Published: (2025)
by: Kowalski, Piotr A., et al.
Published: (2025)
Evolved Developmental Artificial Neural Networks for Multitasking with Advanced Activity Dependence
by: Zhang, Yintong, et al.
Published: (2024)
by: Zhang, Yintong, et al.
Published: (2024)
DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning
by: Bakir, Volkan, et al.
Published: (2025)
by: Bakir, Volkan, et al.
Published: (2025)
Non-Invasive Qualitative Vibration Analysis using Event Camera
by: Bane, Dwijay, et al.
Published: (2024)
by: Bane, Dwijay, et al.
Published: (2024)
Hybrid Genetic Algorithm for Optimal User Order Routing: Multi-Objective Solver Optimization in CoW Protocol Batch Auctions
by: Marfinetz, Mitchell
Published: (2025)
by: Marfinetz, Mitchell
Published: (2025)
SpikingJET: Enhancing Fault Injection for Fully and Convolutional Spiking Neural Networks
by: Gogebakan, Anil Bayram, et al.
Published: (2024)
by: Gogebakan, Anil Bayram, et al.
Published: (2024)
The Promise of Spiking Neural Networks for Ubiquitous Computing: A Survey and New Perspectives
by: Sabbella, Hemanth, et al.
Published: (2025)
by: Sabbella, Hemanth, et al.
Published: (2025)
HOSC: A Periodic Activation Function for Preserving Sharp Features in Implicit Neural Representations
by: Serrano, Danzel, et al.
Published: (2024)
by: Serrano, Danzel, et al.
Published: (2024)
Statistical Analysis of the Impact of Quaternion Components in Convolutional Neural Networks
by: Altamirano-Gómez, Gerardo, et al.
Published: (2024)
by: Altamirano-Gómez, Gerardo, et al.
Published: (2024)
Learn&Drop: Fast Learning of CNNs based on Layer Dropping
by: Cruciata, Giorgio, et al.
Published: (2026)
by: Cruciata, Giorgio, et al.
Published: (2026)
A Review of Pulse-Coupled Neural Network Applications in Computer Vision and Image Processing
by: Rafi, Nurul, et al.
Published: (2024)
by: Rafi, Nurul, et al.
Published: (2024)
Alternating Gradient Flow Utility: A Unified Metric for Structural Pruning and Dynamic Routing in Deep Networks
by: Qian, Tianhao, et al.
Published: (2026)
by: Qian, Tianhao, et al.
Published: (2026)
Evolving Deep Learning Optimizers
by: Marfinetz, Mitchell
Published: (2025)
by: Marfinetz, Mitchell
Published: (2025)
IP$^{2}$-RSNN: Bi-level Intrinsic Plasticity Enables Learning-to-learn in Recurrent Spiking Neural Networks
by: Yu, Yingchao, et al.
Published: (2025)
by: Yu, Yingchao, et al.
Published: (2025)
Associative Constructive Evolution: Enhancing Metaheuristics through Hebbian-Learned Generative Guidance
by: Lin, Shanxian, et al.
Published: (2026)
by: Lin, Shanxian, et al.
Published: (2026)
Spiking Neural Network Architecture Search: A Survey
by: Svoboda, Kama, et al.
Published: (2025)
by: Svoboda, Kama, et al.
Published: (2025)
Similar Items
-
EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural Networks
by: Poyatos, Javier, et al.
Published: (2022) -
The Paradox of Success in Evolutionary and Bioinspired Optimization: Revisiting Critical Issues, Key Studies, and Methodological Pathways
by: Molina, Daniel, et al.
Published: (2025) -
Learning Neuron Dynamics within Deep Spiking Neural Networks
by: Jahns, Eric, et al.
Published: (2025) -
Developing Convolutional Neural Networks using a Novel Lamarckian Co-Evolutionary Algorithm
by: Sharifi, Zaniar, et al.
Published: (2024) -
AiGAS-dEVL-RC: An Adaptive Growing Neural Gas Model for Recurrently Drifting Unsupervised Data Streams
by: Arostegi, Maria, et al.
Published: (2025)