Intelligent-Computing-Research-Group / BKDSNNLinks
This is the official project repository for BKDSNN: Enhancing the Performance of Learning-based Spiking Neural Networks Training with Blurred Knowledge Distillation, which has been accepted by ECCV2024.
☆33Updated last year
Alternatives and similar repositories for BKDSNN
Users that are interested in BKDSNN are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆19Updated 11 months ago
- Code for temporal efficient training☆69Updated 5 months ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆53Updated 2 years ago
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆44Updated 2 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆67Updated 2 years ago
- SyOPs counter for spiking neural networks☆70Updated 2 years ago
- Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks☆27Updated 2 years ago
- Advancing Spiking Neural Networks towards Deep Residual Learning☆60Updated 8 months ago
- Offical Implementation of "CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks" (ICML 2024 spotlight)☆27Updated 3 months ago
- ☆58Updated 2 years ago
- Optimizing threshold and leak in LIF neurons with end-to-end backpropagation☆21Updated 4 years ago
- Pytorch implementation of SEENN (Spiking Early Exit Neural Networks) (NeurIPS 2023)☆17Updated last year
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆33Updated 4 years ago
- Intelligent-Computing-Lab-Panda / Exploring-Temporal-Information-Dynamics-in-Spiking-Neural-NetworksPyTorch Implementation of Exploring Temporal Information Dynamics in Spiking Neural Networks (AAAI23)☆31Updated 3 years ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆53Updated 3 years ago
- ☆31Updated 2 years ago
- Awesome Spiking Neural Networks☆141Updated 9 months ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆45Updated 3 years ago
- Deep Residual Learning in Spiking Neural Networks☆185Updated 3 years ago
- Code for paper "Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks"☆36Updated 2 years ago
- ☆55Updated 3 years ago
- ☆11Updated 11 months ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆116Updated 3 years ago
- ☆68Updated 2 years ago
- Create a new backward path for more accurate SNN gradients.☆17Updated last year
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆103Updated 4 years ago
- STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks☆23Updated 3 years ago
- ☆55Updated last year
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆88Updated 2 years ago
- Offical implementation of "Quantized Spike-driven Transformer" (ICLR2025)☆30Updated this week