Co-occurring keywords · papers mentioning both
Papers
SSF: Accelerating Training of Spiking Neural Networks with Stabilized Spiking Flow
ICCV 2023
Surrogate Module Learning: Reduce the Gradient Error Accumulation in Training Spiking Neural Networks
ICML 2023
Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks
ICCV 2023
Differentiable hierarchical and surrogate gradient search for spiking neural networks
NeurIPS 2022
IM-Loss: Information Maximization Loss for Spiking Neural Networks
NeurIPS 2022
Online Training Through Time for Spiking Neural Networks
NeurIPS 2022
RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks
CVPR 2022
Temporal Effective Batch Normalization in Spiking Neural Networks
NeurIPS 2022
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting
ICLR 2022
Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation
CVPR 2022
DCT-SNN: Using DCT To Distribute Spatial Information Over Time for Low-Latency Spiking Neural Networks
ICCV 2021
Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks
NeurIPS 2021
Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck
NeurIPS 2021
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation
ICLR 2020
Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning
EMNLP 2020
Guided evolutionary strategies: augmenting random search with surrogate gradients
ICML 2019
Stein Variational Gradient Descent Without Gradient
ICML 2018