spiking neural network

Adaptive Smoothing Gradient Learning for Spiking Neural Networks ICML 2023 A Low Latency Adaptive Coding Spike Framework for Deep Reinforcement Learning IJCAI 2023 A New ANN-SNN Conversion Method with High Accuracy, Low Latency and Good Robustness IJCAI 2023 Astromorphic Self-Repair of Neuromorphic Hardware Systems AAAI 2023 A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates ICML 2023 Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes ICLR 2023 Complex Dynamic Neurons Improved Spiking Transformer Network for Efficient Automatic Speech Recognition AAAI 2023 Constructing Deep Spiking Neural Networks From Artificial Neural Networks With Knowledge Distillation CVPR 2023 Deep Directly-Trained Spiking Neural Networks for Object Detection ICCV 2023 Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse AAAI 2023 Direct Training of SNN using Local Zeroth Order Method NeurIPS 2023 Efficient Converted Spiking Neural Network for 3D and 2D Classification ICCV 2023 EICIL: Joint Excitatory Inhibitory Cycle Iteration Learning for Deep Spiking Neural Networks NeurIPS 2023 Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks NeurIPS 2023 Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks IJCAI 2023 Equilibrium Point Learning ACML 2023 ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks AAAI 2023 Event-based Temporally Dense Optical Flow Estimation with Sequential Learning ICCV 2023 Event-Guided Person Re-Identification via Sparse-Dense Complementary Learning CVPR 2023 Evolving Connectivity for Recurrent Spiking Neural Networks NeurIPS 2023 Exact Gradient Computation for Spiking Neural Networks via Forward Propagation AISTATS 2023 Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks NeurIPS 2023 Exploring Temporal Information Dynamics in Spiking Neural Networks AAAI 2023 GUST: Combinatorial Generalization by Unsupervised Grouping with Neuronal Coherence NeurIPS 2023 Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles ICLR 2023