Copertina

Impacts of Darwinian Evolution on Pre-trained Deep Neural Networks

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Du, Guodong, Jiang, Runhua, Yang, Senqiao, Li, Haoyang, Chen, Wei, Li, Keren, Goh, Sim Kuan, Tang, Ho-Kin
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Neural and Evolutionary Computing Artificial Intelligence Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

CADE: Cosine Annealing Differential Evolution for Spiking Neural Network
di: Jiang, Runhua, et al.
Pubblicazione: (2024)

Knowledge Fusion By Evolving Weights of Language Models
di: Du, Guodong, et al.
Pubblicazione: (2024)

Evolutionary Neural Architecture Search for 3D Point Cloud Analysis
di: Yang, Yisheng, et al.
Pubblicazione: (2024)

Meta-heuristic Optimizer Inspired by the Philosophy of Yi Jing
di: Yang, Yisheng, et al.
Pubblicazione: (2024)

Surrogate-Assisted Evolution for Efficient Multi-branch Connection Design in Deep Neural Networks
di: Stapleton, Fergal, et al.
Pubblicazione: (2025)

SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks
di: Zhu, Rui-Jie, et al.
Pubblicazione: (2023)

A Review on Zeroing Neural Networks
di: Jiang, Chengze, et al.
Pubblicazione: (2025)

Ternary Spiking Neural Networks Enhanced by Complemented Neurons and Membrane Potential Aggregation
di: Zhang, Boxuan, et al.
Pubblicazione: (2026)

BrainFLORA: Uncovering Brain Concept Representation via Multimodal Neural Embeddings
di: Li, Dongyang, et al.
Pubblicazione: (2025)

Scalable Dendritic Modeling Advances Expressive and Robust Deep Spiking Neural Networks
di: Huang, Yifan, et al.
Pubblicazione: (2024)

Pruning as Evolution: Emergent Sparsity Through Selection Dynamics in Neural Networks
di: Shah, Zubair, et al.
Pubblicazione: (2026)

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network
di: Xu, Shang, et al.
Pubblicazione: (2025)

Spiking Neural Networks for Temporal Processing: Status Quo and Future Prospects
di: Ma, Chenxiang, et al.
Pubblicazione: (2025)

Fast Exploration of the Impact of Precision Reduction on Spiking Neural Networks
di: Saeedi, Sepide, et al.
Pubblicazione: (2022)

Integrating Pruning with Quantization for Efficient Deep Neural Networks Compression
di: Makenali, Sara, et al.
Pubblicazione: (2025)

Competition-based Adaptive ReLU for Deep Neural Networks
di: Chen, Junjia, et al.
Pubblicazione: (2024)

Full Integer Arithmetic Online Training for Spiking Neural Networks
di: Gomez, Ismael, et al.
Pubblicazione: (2025)

Functional Connectivity Graph Neural Networks
di: Li, Yang, et al.
Pubblicazione: (2025)

Frequency Matching in Spiking Neural Networks for mmWave Sensing
di: Yu, Di, et al.
Pubblicazione: (2026)

Adaptively Pruned Spiking Neural Networks for Energy-Efficient Intracortical Neural Decoding
di: Rivelli, Francesca, et al.
Pubblicazione: (2025)

NEVO-GSPT: Population-Based Neural Network Evolution Using Inflate and Deflate Operators
di: Farinati, Davide, et al.
Pubblicazione: (2026)

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model
di: Yang, Xu, et al.
Pubblicazione: (2025)

Fractional-order Spiking Neural Network
di: Ge, Chengjie, et al.
Pubblicazione: (2025)

Stitching for Neuroevolution: Recombining Deep Neural Networks without Breaking Them
di: Guijt, Arthur, et al.
Pubblicazione: (2024)

Evaluating Deep Neural Networks in Deployment (A Comparative and Replicability Study)
di: Pinconschi, Eduard, et al.
Pubblicazione: (2024)

Training Deep Normalization-Free Spiking Neural Networks with Lateral Inhibition
di: Liu, Peiyu, et al.
Pubblicazione: (2025)

Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks
di: Xu, Qi, et al.
Pubblicazione: (2024)

Stochastic Spiking Neural Networks with First-to-Spike Coding
di: Jiang, Yi, et al.
Pubblicazione: (2024)

Deep Pulse-Coupled Neural Networks
di: Yi, Zexiang, et al.
Pubblicazione: (2023)

A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural Networks
di: Chen, Xinyi, et al.
Pubblicazione: (2023)

Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential Dynamics
di: Jiang, Jiaqiang, et al.
Pubblicazione: (2025)

Deep Neural Crossover
di: Shem-Tov, Eliad, et al.
Pubblicazione: (2024)

Temporal Regularization Training: Unleashing the Potential of Spiking Neural Networks
di: Zhang, Boxuan, et al.
Pubblicazione: (2025)

Parallel Training in Spiking Neural Networks
di: Huang, Yanbin, et al.
Pubblicazione: (2026)

DECN: Evolution Inspired Deep Convolution Network for Black-box Optimization
di: Wu, Kai, et al.
Pubblicazione: (2023)

Spatial-Temporal Search for Spiking Neural Networks
di: Che, Kaiwei, et al.
Pubblicazione: (2024)

A Latency Coding Framework for Deep Spiking Neural Networks with Ultra-Low Latency
di: Lu, Yi, et al.
Pubblicazione: (2026)

$SpikePack$: Enhanced Information Flow in Spiking Neural Networks with High Hardware Compatibility
di: Shen, Guobin, et al.
Pubblicazione: (2025)

Bayesian Inference Accelerator for Spiking Neural Networks
di: Katti, Prabodh, et al.
Pubblicazione: (2024)

Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods
di: Zhou, Chenlin, et al.
Pubblicazione: (2024)