Co-occurring keywords · papers mentioning both
Papers
Spike Count Maximization for Neuromorphic Vision Recognition
IJCAI 2023
SSF: Accelerating Training of Spiking Neural Networks with Stabilized Spiking Flow
ICCV 2023
Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks
ICCV 2023
Towards Two-point Neuron-inspired Energy-efficient Multimodal Open Master Hearing Aid
Interspeech 2023
AutoSNN: Towards Energy-Efficient Spiking Neural Networks
ICML 2022
Event-Based Video Reconstruction via Potential-Assisted Spiking Neural Network
CVPR 2022
EvUnroll: Neuromorphic Events Based Rolling Shutter Image Correction
CVPR 2022
Fully Spiking Variational Autoencoder
AAAI 2022
Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations
NeurIPS 2022
IM-Loss: Information Maximization Loss for Spiking Neural Networks
NeurIPS 2022
Online Training Through Time for Spiking Neural Networks
NeurIPS 2022
Short-Term Plasticity Neurons Learning to Learn and Forget
ICML 2022
SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training
NeurIPS 2022
Spiking Graph Convolutional Networks
IJCAI 2022
Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning
AAAI 2022
Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation
CVPR 2022
Training Spiking Neural Networks with Event-driven Backpropagation
NeurIPS 2022
Training Spiking Neural Networks with Local Tandem Learning
NeurIPS 2022
Deep Spiking Neural Network with Neural Oscillation and Spike-Phase Information
AAAI 2021
Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks
NeurIPS 2021
Incorporating Learnable Membrane Time Constant To Enhance Learning of Spiking Neural Networks
ICCV 2021
Increasing Liquid State Machine Performance with Edge-of-Chaos Dynamics Organized by Astrocyte-modulated Plasticity
NeurIPS 2021
Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons
NeurIPS 2021
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks
ICLR 2021
Pruning of Deep Spiking Neural Networks through Gradient Rewiring
IJCAI 2021