Cover Image

A Novel Structure-Agnostic Multi-Objective Approach for Weight-Sharing Compression in Deep Neural Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Khosrowshahli, Rasa, Rahnamayan, Shahryar, Ombuki-Berman, Beatrice
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Massive Dimensions Reduction and Hybridization with Meta-heuristics in Deep Learning
by: Khosrowshahli, Rasa, et al.
Published: (2024)

Frozen Backpropagation: Relaxing Weight Symmetry in Deep Spiking Neural Networks
by: Goupy, Gaspard, et al.
Published: (2025)

Multi-Objective Reference-Aligned Machine Unlearning
by: Khosrowshahli, Rasa, et al.
Published: (2026)

STOP: Spatiotemporal Orthogonal Propagation for Weight-Threshold-Leakage Synergistic Training of Deep Spiking Neural Networks
by: Gao, Haoran, et al.
Published: (2024)

Large-scale Multi-objective Feature Selection: A Multi-phase Search Space Shrinking Approach
by: Bidgoli, Azam Asilian, et al.
Published: (2024)

Timestep-Compressed Attack on Spiking Neural Networks through Timestep-Level Backpropagation
by: Kang, Donghwa, et al.
Published: (2025)

Understanding the Role of Pathways in a Deep Neural Network
by: Lyu, Lei, et al.
Published: (2024)

TDSNNs: Competitive Topographic Deep Spiking Neural Networks for Visual Cortex Modeling
by: Zhou, Deming, et al.
Published: (2025)

A Novel Pareto-optimal Ranking Method for Comparing Multi-objective Optimization Algorithms
by: Ibrahim, Amin, et al.
Published: (2024)

A Multimodal Physics-Informed Neural Network Approach for Mean Radiant Temperature Modeling
by: Shaeri, Pouya, et al.
Published: (2025)

UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks
by: Qian, Yuanbin, et al.
Published: (2025)

Multi-Objective Deep-Learning-based Biomechanical Deformable Image Registration with MOREA
by: Andreadis, Georgios, et al.
Published: (2025)

Temporal-adaptive Weight Quantization for Spiking Neural Networks
by: Zhang, Han, et al.
Published: (2025)

Autonomous Driving with Spiking Neural Networks
by: Zhu, Rui-Jie, et al.
Published: (2024)

Event-Driven Learning for Spiking Neural Networks
by: Wei, Wenjie, et al.
Published: (2024)

A Hybrid Deep Learning and Forensic Approach for Robust Deepfake Detection
by: Aribe Jr, Sales
Published: (2025)

Spiking Neural Network as Adaptive Event Stream Slicer
by: Cao, Jiahang, et al.
Published: (2024)

Scaling Up Resonate-and-Fire Networks for Fast Deep Learning
by: Huber, Thomas E., et al.
Published: (2025)

Memory-Free and Parallel Computation for Quantized Spiking Neural Networks
by: Zhang, Dehao, et al.
Published: (2025)

Integer Binary-Range Alignment Neuron for Spiking Neural Networks
by: Ye, Binghao, et al.
Published: (2025)

Fully Spiking Neural Networks for Unified Frame-Event Object Tracking
by: Yang, Jingjun, et al.
Published: (2025)

Gaining the Sparse Rewards by Exploring Lottery Tickets in Spiking Neural Network
by: Cheng, Hao, et al.
Published: (2023)

Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Network
by: Wang, Ziqing, et al.
Published: (2024)

SU-YOLO: Spiking Neural Network for Efficient Underwater Object Detection
by: Li, Chenyang, et al.
Published: (2025)

Multi-Task Neural Architecture Search Using Architecture Embedding and Transfer Rank
by: Zhang, TingJie, et al.
Published: (2025)

SDTrack: A Baseline for Event-based Tracking via Spiking Neural Networks
by: Shan, Yimeng, et al.
Published: (2025)

Reliable Brain Tumor Segmentation Based on Spiking Neural Networks with Efficient Training
by: Ghiardelli, Aurora Pia, et al.
Published: (2026)

Randomly Weighted Neuromodulation in Neural Networks Facilitates Learning of Manifolds Common Across Tasks
by: Hong, Jinyung, et al.
Published: (2023)

How to Train Your Metamorphic Deep Neural Network
by: Sommariva, Thomas, et al.
Published: (2025)

Revisiting Direct Encoding: Learnable Temporal Dynamics for Static Image Spiking Neural Networks
by: He, Huaxu
Published: (2025)

From Pixels to Titles: Video Game Identification by Screenshots using Convolutional Neural Networks
by: Breve, Fabricio
Published: (2023)

Towards Chip-in-the-loop Spiking Neural Network Training via Metropolis-Hastings Sampling
by: Safa, Ali, et al.
Published: (2024)

A Novel Convolutional Neural Network Architecture with a Continuous Symmetry
by: Liu, Yao, et al.
Published: (2023)

Impacts of Darwinian Evolution on Pre-trained Deep Neural Networks
by: Du, Guodong, et al.
Published: (2024)

GazeSCRNN: Event-based Near-eye Gaze Tracking using a Spiking Neural Network
by: Groenen, Stijn, et al.
Published: (2025)

Stabilizing Direct Training of Spiking Neural Networks: Membrane Potential Initialization and Threshold-robust Surrogate Gradient
by: Kook, Hyunho, et al.
Published: (2025)

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks
by: Neumeier, Michael, et al.
Published: (2025)

Apprenticeship-Inspired Elegance: Synergistic Knowledge Distillation Empowers Spiking Neural Networks for Efficient Single-Eye Emotion Recognition
by: Wang, Yang, et al.
Published: (2024)

Defining Neural Network Architecture through Polytope Structures of Dataset
by: Lee, Sangmin, et al.
Published: (2024)

Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips
by: Yao, Man, et al.
Published: (2024)