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neuromorphic computing

106 papers

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