Latency and accuracy tradeoffs in Spiking Neural Networks

arXiv:2609.35260 · cs.LG · Submitted 2026-09-28 · Read on arXiv

cs.LG

Submitted: 2026-09-28

Updated: 2026-09-28

Code: https://github.com/Zhu-ZiXuan/NeuroX

Terminology

• Accuracy — 1× in this paper · explained in 1 episode
• Spiking neural networks — 1× in this paper · explained in 2 episodes

Sources

• Congestion-Aware Dynamic Axonal Delay for Spiking Neural Networks
• ConSmax: Hardware-Friendly Alternative Softmax with Learnable Parameters
• Efficient Speech Command Recognition Leveraging Spiking Neural Network and Curriculum Learning-based Knowledge Distillation
• Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
• Temporal Information Reconstruction and Non-Aligned Residual in Spiking Neural Networks for Speech Classification

Related papers

• Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
• AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
• Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
• Convergence issues in Relational Concept Analysis based on AOC-posets
• Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks