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neuromorphic computing

95 papers

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Co-occurring keywords

spiking neural network (331) energy efficiency (137) neuromorphic hardware (26) surrogate gradient (31) attention mechanism (3975) event camera (289) event-based vision (51) spiking neuron (35) image classification (1943) membrane potential (24)

Papers

Oligodendrocyte-Driven Spiking Neural Model AAAI 2026
SaccadeX: Directed Acyclic Graph-based Semi-Supervised Learning of Continuous Ocular Dynamics from Sparse Neuromorphic Streams WACV 2026
Ultralight Polarity-Split Neuromorphic SNN for Event-Stream Super-Resolution AAAI 2026
DS-ATGO: Dual-Stage Synergistic Learning via Forward Adaptive Threshold and Backward Gradient Optimization for Spiking Neural Networks AAAI 2026
Advancing Spiking Neural Networks Towards Multiscale Spatiotemporal Interaction Learning AAAI 2025
Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing IJCAI 2025
Efficient Event-Based Object Detection: A Hybrid Neural Network with Spatial and Temporal Attention CVPR 2025
Noise-Injected Spiking Graph Convolution for Energy-Efficient 3D Point Cloud Denoising AAAI 2025
ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental Learning AAAI 2025
STAA-SNN: Spatial-Temporal Attention Aggregator for Spiking Neural Networks CVPR 2025
Spiking Transformer with Spatial-Temporal Attention CVPR 2025
Rethinking Spiking Self-Attention Mechanism: Implementing a-XNOR Similarity Calculation in Spiking Transformers CVPR 2025
SpikedAttention: Training-Free and Fully Spike-Driven Transformer-to-SNN Conversion with Winner-Oriented Spike Shift for Softmax Operation NIPS 2024
Gated Attention Coding for Training High-Performance and Efficient Spiking Neural Networks AAAI 2024
TIM: An Efficient Temporal Interaction Module for Spiking Transformer IJCAI 2024
Are Conventional SNNs Really Efficient? A Perspective from Network Quantization CVPR 2024
TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling AAAI 2024
Point-to-Spike Residual Learning for Energy-Efficient 3D Point Cloud Classification AAAI 2024
Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms AAAI 2024
Neuromorphic Event Signal-Driven Network for Video De-raining AAAI 2024
Neuromorphic Keyword Spotting with Pulse Density Modulation MEMS Microphones INTERSPEECH 2024
Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Networks AAAI 2024
DeblurSR: Event-Based Motion Deblurring under the Spiking Representation AAAI 2024
Episodic Memory Retrieval from LLMs: A Neuromorphic Mechanism to Generate Commonsense Counterfactuals for Relation Extraction ACL 2024
SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation AAAI 2024