Cover Image

Synaptic Pruning: A Biological Inspiration for Deep Learning Regularization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Vos, Gideon, van Eijk, Liza, Sarnyai, Zoltan, Azghadi, Mostafa Rahimi
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Stabilizing Machine Learning for Reproducible and Explainable Results: A Novel Validation Approach to Subject-Specific Insights
by: Vos, Gideon, et al.
Published: (2024)

The Effect of Acute Stress on the Interpretability and Generalization of Schizophrenia Predictive Machine Learning Models
by: Vos, Gideon, et al.
Published: (2024)

A Statistical Approach for Synthetic EEG Data Generation
by: Vos, Gideon, et al.
Published: (2025)

Stress Monitoring Using Low-Cost Electroencephalogram Devices: A Systematic Literature Review
by: Vos, Gideon, et al.
Published: (2024)

Decoding Neural Emotion Patterns through Large Language Model Embeddings
by: Vos, Gideon, et al.
Published: (2025)

Depth-Resolved Coral Reef Thermal Fields from Satellite SST and Sparse In-Situ Loggers Using Physics-Informed Neural Networks
by: Saleh, Alzayat, et al.
Published: (2026)

The Impact of Quantization and Pruning on Deep Reinforcement Learning Models
by: Lu, Heng, et al.
Published: (2024)

Towards Faster Training of Diffusion Models: An Inspiration of A Consistency Phenomenon
by: Xu, Tianshuo, et al.
Published: (2024)

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning
by: Xie, Hui, et al.
Published: (2025)

Evaluating Hierarchical Clinical Document Classification Using Reasoning-Based LLMs
by: Mustafa, Akram, et al.
Published: (2025)

Can Reasoning LLMs Enhance Clinical Document Classification?
by: Mustafa, Akram, et al.
Published: (2025)

Variational Deep Learning via Implicit Regularization
by: Wenger, Jonathan, et al.
Published: (2025)

AI Learning Algorithms: Deep Learning, Hybrid Models, and Large-Scale Model Integration
by: Golilarz, Noorbakhsh Amiri, et al.
Published: (2024)

Pruning-based Data Selection and Network Fusion for Efficient Deep Learning
by: Kousar, Humaira, et al.
Published: (2025)

Online Training and Pruning of Deep Reinforcement Learning Networks
by: Guenter, Valentin Frank Ingmar, et al.
Published: (2025)

Weight Concentration Regularization for Improving Pruning Robustness Under High Sparsity
by: Yun, Vincent-Daniel, et al.
Published: (2025)

A Generic Layer Pruning Method for Signal Modulation Recognition Deep Learning Models
by: Lu, Yao, et al.
Published: (2024)

The Role of Deep Learning Regularizations on Actors in Offline RL
by: Tarasov, Denis, et al.
Published: (2024)

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space
by: Jung, Jaeheun, et al.
Published: (2025)

Spacer: Towards Engineered Scientific Inspiration
by: Lee, Minhyeong, et al.
Published: (2025)

Towards Adaptive Deep Learning: Model Elasticity via Prune-and-Grow CNN Architectures
by: Mangal, Pooja, et al.
Published: (2025)

DeepStock: Reinforcement Learning with Policy Regularizations for Inventory Management
by: Xie, Yaqi, et al.
Published: (2026)

Pruning the Way to Reliable Policies: A Multi-Objective Deep Q-Learning Approach to Critical Care
by: Shirali, Ali, et al.
Published: (2023)

SciMON: Scientific Inspiration Machines Optimized for Novelty
by: Wang, Qingyun, et al.
Published: (2023)

Two-Stage Regularization-Based Structured Pruning for LLMs
by: Feng, Mingkuan, et al.
Published: (2025)

Max-Affine Spline Insights Into Deep Network Pruning
by: You, Haoran, et al.
Published: (2021)

FAIR-Pruner: A Flexible Framework for Automatic Layer-Wise Pruning via Tolerance of Difference
by: Lin, Chenqing, et al.
Published: (2025)

Generalized Regularized Evidential Deep Learning Models: Theory and Comprehensive Evaluation
by: Pandey, Deep Shankar, et al.
Published: (2025)

Learning Regularizers: Learning Optimizers that can Regularize
by: Sahoo, Suraj Kumar, et al.
Published: (2025)

Weighted Stochastic Differential Equation to Implement Wasserstein-Fisher-Rao Gradient Flow
by: Rahimi, Herlock
Published: (2025)

Lightweight Edge Learning via Dataset Pruning
by: Ale, Laha, et al.
Published: (2026)

Compressing Deep Reinforcement Learning Networks with a Dynamic Structured Pruning Method for Autonomous Driving
by: Su, Wensheng, et al.
Published: (2024)

Causal Deep Learning
by: Berrevoets, Jeroen, et al.
Published: (2023)

Vision-based Deep Learning Analysis of Unordered Biomedical Tabular Datasets via Optimal Spatial Cartography
by: Mostafa, Sakib, et al.
Published: (2026)

Partial Models for Building Adaptive Model-Based Reinforcement Learning Agents
by: Alver, Safa, et al.
Published: (2024)

Mosaic Pruning: A Hierarchical Framework for Generalizable Pruning of Mixture-of-Experts Models
by: Hu, Wentao, et al.
Published: (2025)

ACCon: Angle-Compensated Contrastive Regularizer for Deep Regression
by: Zhao, Botao, et al.
Published: (2025)

Uncovering Capabilities of Model Pruning in Graph Contrastive Learning
by: Wu, Junran, et al.
Published: (2024)

SLOPE: Search with Learned Optimal Pruning-based Expansion
by: Bokan, Davor, et al.
Published: (2024)

any4: Learned 4-bit Numeric Representation for LLMs
by: Elhoushi, Mostafa, et al.
Published: (2025)