spiking neural network

Stable learning using spiking neural networks equipped with affine encoders and decoders JMLR 2025 Tackling Long-Tailed Data Challenges in Spiking Neural Networks via Heterogeneous Knowledge Distillation IJCAI 2025 Temporal Flexibility in Spiking Neural Networks: Towards Generalization Across Time Steps and Deployment Friendliness ICLR 2025 Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks CVPR 2025 Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time ICML 2025 Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism AAAI 2025 Towards Effective and Sparse Adversarial Attack on Spiking Neural Networks via Breaking Invisible Surrogate Gradients CVPR 2025 Towards More Discriminative Feature Learning in SNNs with Temporal-Self-Erasing Supervision AAAI 2025 Training High Performance Spiking Neural Network by Temporal Model Calibration ICML 2025 TS-LIF: A Temporal Segment Spiking Neuron Network for Time Series Forecasting ICLR 2025 TS-SNN: Temporal Shift Module for Spiking Neural Networks ICML 2025 UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks AAAI 2025 VISTREAM: Improving Computation Efficiency of Visual Streaming Perception via Law-of-Charge-Conservation Inspired Spiking Neural Network CVPR 2025 When to Learn and When to Stop: Quitting at the Optimal Time (Student Abstract) AAAI 2025 Adaptive deep spiking neural network with global-local learning via balanced excitatory and inhibitory mechanism ICLR 2024 A differentiable brain simulator bridging brain simulation and brain-inspired computing ICLR 2024 Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators NeurIPS 2024 Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation NeurIPS 2024 A generalized neural tangent kernel for surrogate gradient learning NeurIPS 2024 A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks ICLR 2024 An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain AAAI 2024 Apprenticeship-Inspired Elegance: Synergistic Knowledge Distillation Empowers Spiking Neural Networks for Efficient Single-Eye Emotion Recognition IJCAI 2024 A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-hierarchical Model ICLR 2024 Are Conventional SNNs Really Efficient? A Perspective from Network Quantization CVPR 2024 Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural Networks ICML 2024