{"total":303,"rows":[{"id":"2209.15425","title":"Spikformer: When Spiking Neural Network Meets Transformer","created":"2022-09-29","cited_by_count":271,"area":null},{"id":"2109.12894","title":"Training Spiking Neural Networks Using Lessons From Deep Learning","created":"2021-09-27","cited_by_count":259,"area":null},{"id":"2202.11946","title":"Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting","created":"2022-02-24","cited_by_count":198,"area":null},{"id":"2310.16620","title":"SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence","created":"2023-10-25","cited_by_count":169,"area":null},{"id":"2307.01694","title":"Spike-driven Transformer","created":"2023-07-04","cited_by_count":146,"area":null},{"id":"2209.13929","title":"Attention Spiking Neural Networks","created":"2022-09-28","cited_by_count":107,"area":null},{"id":"2404.03663","title":"Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips","created":"2024-02-15","cited_by_count":103,"area":null},{"id":"2106.01862","title":"Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks","created":"2021-06-03","cited_by_count":99,"area":null},{"id":"2205.00459","title":"Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation","created":"2022-05-01","cited_by_count":89,"area":null},{"id":"2302.13939","title":"SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks","created":"2023-02-27","cited_by_count":88,"area":null},{"id":"2205.04339","title":"Object Detection with Spiking Neural Networks on Automotive Event Data","created":"2022-05-09","cited_by_count":80,"area":null},{"id":"2112.08954","title":"Advancing Spiking Neural Networks towards Deep Residual Learning","created":"2021-12-15","cited_by_count":79,"area":null},{"id":"2307.11411","title":"Deep Directly-Trained Spiking Neural Networks for Object Detection","created":"2023-07-21","cited_by_count":77,"area":null},{"id":"2210.13768","title":"GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks","created":"2022-10-25","cited_by_count":63,"area":null},{"id":"2411.16061","title":"Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training","created":"2024-11-25","cited_by_count":59,"area":null},{"id":"2201.10355","title":"Neural Architecture Search for Spiking Neural Networks","created":"2022-01-23","cited_by_count":53,"area":null},{"id":"2304.06793","title":"Speck: A Smart event-based Vision Sensor with a low latency 327K Neuron Convolutional Neuronal Network Processing Pipeline","created":"2023-04-13","cited_by_count":52,"area":null},{"id":"2306.17670","title":"Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings","created":"2023-06-30","cited_by_count":50,"area":null},{"id":"2210.04195","title":"Online Training Through Time for Spiking Neural Networks","created":"2022-10-09","cited_by_count":49,"area":null},{"id":"2403.16552","title":"QKFormer: Hierarchical Spiking Transformer using Q-K Attention","created":"2024-03-25","cited_by_count":49,"area":null},{"id":"2211.09648","title":"HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors","created":"2022-11-17","cited_by_count":47,"area":null},{"id":"2202.01440","title":"Optimized Potential Initialization for Low-latency Spiking Neural Networks","created":"2022-02-03","cited_by_count":41,"area":null},{"id":"2304.01230","title":"SEENN: Towards Temporal Spiking Early-Exit Neural Networks","created":"2023-04-02","cited_by_count":41,"area":null},{"id":"2304.12760","title":"Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies","created":"2023-04-25","cited_by_count":41,"area":null},{"id":"2201.12738","title":"AutoSNN: Towards Energy-Efficient Spiking Neural Networks","created":"2022-01-30","cited_by_count":40,"area":null},{"id":"2312.06372","title":"Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks","created":"2023-12-11","cited_by_count":38,"area":null},{"id":"2302.14311","title":"Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks","created":"2023-02-28","cited_by_count":37,"area":null},{"id":"2206.10177","title":"TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks","created":"2022-06-21","cited_by_count":35,"area":null},{"id":"2308.08359","title":"Membrane Potential Batch Normalization for Spiking Neural Networks","created":"2023-08-16","cited_by_count":35,"area":null},{"id":"2305.19725","title":"Direct Learning-Based Deep Spiking Neural Networks: A Review","created":"2023-05-31","cited_by_count":31,"area":null},{"id":"2406.03287","title":"SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms","created":"2024-06-05","cited_by_count":31,"area":null},{"id":"2407.04752","title":"SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking","created":"2024-07-05","cited_by_count":31,"area":null},{"id":"2310.07189","title":"SpikePoint: An Efficient Point-based Spiking Neural Network for Event Cameras Action Recognition","created":"2023-10-11","cited_by_count":30,"area":null},{"id":"2401.02020","title":"Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket","created":"2024-01-04","cited_by_count":30,"area":null},{"id":"2308.06787","title":"RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks","created":"2023-08-13","cited_by_count":28,"area":null},{"id":"2207.01382","title":"Exploring Lottery Ticket Hypothesis in Spiking Neural Networks","created":"2022-07-04","cited_by_count":26,"area":null},{"id":"2301.11929","title":"Training Full Spike Neural Networks via Auxiliary Accumulation Pathway","created":"2023-01-27","cited_by_count":26,"area":null},{"id":"2211.14406","title":"Exploring Temporal Information Dynamics in Spiking Neural Networks","created":"2022-11-26","cited_by_count":24,"area":null},{"id":"2110.08858","title":"Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Spiking Neural Networks","created":"2021-10-17","cited_by_count":23,"area":null},{"id":"2210.06686","title":"Real Spike: Learning Real-valued Spikes for Spiking Neural Networks","created":"2022-10-13","cited_by_count":22,"area":null},{"id":"2109.13751","title":"StereoSpike: Depth Learning with a Spiking Neural Network","created":"2021-09-28","cited_by_count":21,"area":null},{"id":"2502.12677","title":"Spiking Vision Transformer with Saccadic Attention","created":"2025-02-18","cited_by_count":21,"area":null},{"id":"2210.05241","title":"STSC-SNN: Spatio-Temporal Synaptic Connection with Temporal Convolution and Attention for Spiking Neural Networks","created":"2022-10-11","cited_by_count":20,"area":null},{"id":"2403.15192","title":"SFOD: Spiking Fusion Object Detector","created":"2024-03-22","cited_by_count":20,"area":null},{"id":"2211.10686","title":"Spikeformer: A Novel Architecture for Training High-Performance Low-Latency Spiking Neural Network","created":"2022-11-19","cited_by_count":19,"area":null},{"id":"2401.00955","title":"Learning Long Sequences in Spiking Neural Networks","created":"2023-12-14","cited_by_count":19,"area":null},{"id":"2401.01912","title":"Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Network","created":"2024-01-02","cited_by_count":19,"area":null},{"id":"2402.04798","title":"Spiking-PhysFormer: Camera-Based Remote Photoplethysmography with Parallel Spike-driven Transformer","created":"2024-02-07","cited_by_count":19,"area":null},{"id":"2412.14587","title":"Spike2Former: Efficient Spiking Transformer for High-performance Image Segmentation","created":"2024-12-19","cited_by_count":19,"area":null},{"id":"2503.12905","title":"UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks","created":"2025-03-17","cited_by_count":19,"area":null},{"id":"2201.09754","title":"Deep Reinforcement Learning with Spiking Q-learning","created":"2022-01-21","cited_by_count":18,"area":null},{"id":"2206.06506","title":"Spiking Neural Networks for Frame-based and Event-based Single Object Localization","created":"2022-06-13","cited_by_count":18,"area":null},{"id":"2305.16044","title":"Exploiting Noise as a Resource for Computation and Learning in Spiking Neural Networks","created":"2023-05-25","cited_by_count":18,"area":null},{"id":"2306.11546","title":"Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition","created":"2023-06-20","cited_by_count":17,"area":null},{"id":"2403.12574","title":"EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks","created":"2024-03-19","cited_by_count":16,"area":null},{"id":"2405.06277","title":"Learning A Spiking Neural Network for Efficient Image Deraining","created":"2024-05-10","cited_by_count":16,"area":null},{"id":"2207.02702","title":"Spike Calibration: Fast and Accurate Conversion of Spiking Neural Network for Object Detection and Segmentation","created":"2022-07-06","cited_by_count":15,"area":null},{"id":"2401.04486","title":"Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks","created":"2024-01-09","cited_by_count":14,"area":null},{"id":"2209.03358","title":"Attacking the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples","created":"2022-09-07","cited_by_count":13,"area":null},{"id":"2303.14176","title":"A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual Perception","created":"2023-03-24","cited_by_count":13,"area":null},{"id":"2308.08227","title":"Inherent Redundancy in Spiking Neural Networks","created":"2023-08-16","cited_by_count":13,"area":null},{"id":"2311.16112","title":"Co-learning synaptic delays, weights and adaptation in spiking neural networks","created":"2023-09-12","cited_by_count":13,"area":null},{"id":"2501.13492","title":"Quantized Spike-driven Transformer","created":"2025-01-23","cited_by_count":13,"area":null},{"id":"2503.00226","title":"Spiking Transformer:Introducing Accurate Addition-Only Spiking Self-Attention for Transformer","created":"2025-02-28","cited_by_count":13,"area":null},{"id":"2105.12917","title":"BSNN: Towards Faster and Better Conversion of Artificial Neural Networks to Spiking Neural Networks with Bistable Neurons","created":"2021-05-27","cited_by_count":12,"area":null},{"id":"2302.13019","title":"A Unified Framework for Soft Threshold Pruning","created":"2023-02-25","cited_by_count":12,"area":null},{"id":"2401.11687","title":"TIM: An Efficient Temporal Interaction Module for Spiking Transformer","created":"2024-01-22","cited_by_count":12,"area":null},{"id":"2408.09764","title":"Event Stream based Human Action Recognition: A High-Definition Benchmark Dataset and Algorithms","created":"2024-08-19","cited_by_count":12,"area":null},{"id":"2502.14218","title":"Rethinking Spiking Neural Networks from an Ensemble Learning Perspective","created":"2025-02-20","cited_by_count":12,"area":null},{"id":"2402.00411","title":"LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model","created":"2024-02-01","cited_by_count":11,"area":null},{"id":"2402.04882","title":"LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units","created":"2024-01-20","cited_by_count":11,"area":null},{"id":"2412.07360","title":"Efficient 3D Recognition with Event-driven Spike Sparse Convolution","created":"2024-12-10","cited_by_count":11,"area":null},{"id":"2502.21193","title":"Towards High-performance Spiking Transformers from ANN to SNN Conversion","created":"2025-02-28","cited_by_count":11,"area":null},{"id":"2503.02689","title":"STAA-SNN: Spatial-Temporal Attention Aggregator for Spiking Neural Networks","created":"2025-03-04","cited_by_count":11,"area":null},{"id":"2503.17132","title":"Temporal-Guided Spiking Neural Networks for Event-Based Human Action Recognition","created":"2025-03-21","cited_by_count":11,"area":null},{"id":"2111.05955","title":"Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks","created":"2021-11-10","cited_by_count":10,"area":null},{"id":"2204.07050","title":"Recent Advances and New Frontiers in Spiking Neural Networks","created":"2022-03-12","cited_by_count":10,"area":null},{"id":"2206.03654","title":"Solving the Spike Feature Information Vanishing Problem in Spiking Deep Q Network with Potential Based Normalization","created":"2022-06-08","cited_by_count":10,"area":null},{"id":"2210.03515","title":"Spiking neural networks for nonlinear regression","created":"2022-10-06","cited_by_count":10,"area":null},{"id":"2303.09681","title":"Highly Efficient 3D Human Pose Tracking from Events with Spiking Spatiotemporal Transformer","created":"2023-03-16","cited_by_count":10,"area":null},{"id":"2304.06540","title":"Temporal Knowledge Sharing enable Spiking Neural Network Learning from Past and Future","created":"2023-04-13","cited_by_count":10,"area":null},{"id":"2304.10211","title":"Spiking-Fer: Spiking Neural Network for Facial Expression Recognition With Event Cameras","created":"2023-04-20","cited_by_count":10,"area":null},{"id":"2305.05954","title":"Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation","created":"2023-05-10","cited_by_count":10,"area":null},{"id":"2405.20355","title":"Enhancing Adversarial Robustness in SNNs with Sparse Gradients","created":"2024-05-30","cited_by_count":10,"area":null},{"id":"2406.01072","title":"Towards Efficient Deep Spiking Neural Networks Construction with Spiking Activity based Pruning","created":"2024-06-03","cited_by_count":10,"area":null},{"id":"2407.08130","title":"Spiking Tucker Fusion Transformer for Audio-Visual Zero-Shot Learning","created":"2024-07-11","cited_by_count":10,"area":null},{"id":"2501.14744","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","created":"2024-12-15","cited_by_count":10,"area":null},{"id":"2503.00301","title":"Differential Coding for Training-Free ANN-to-SNN Conversion","created":"2025-03-01","cited_by_count":10,"area":null},{"id":"2209.14915","title":"Spiking Neural Networks for event-based action recognition: A new task to understand their advantage","created":"2022-09-29","cited_by_count":9,"area":null},{"id":"2303.13077","title":"An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain","created":"2023-03-23","cited_by_count":9,"area":null},{"id":"2304.11857","title":"Accurate and Efficient Event-based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Network","created":"2023-04-24","cited_by_count":9,"area":null},{"id":"2503.03272","title":"Towards Effective and Sparse Adversarial Attack on Spiking Neural Networks via Breaking Invisible Surrogate Gradients","created":"2025-03-05","cited_by_count":9,"area":null},{"id":"2301.09522","title":"Optimising Event-Driven Spiking Neural Network with Regularisation and Cutoff","created":"2023-01-23","cited_by_count":8,"area":null},{"id":"2302.00232","title":"SPIDE: A Purely Spike-based Method for Training Feedback Spiking Neural Networks","created":"2023-02-01","cited_by_count":8,"area":null},{"id":"2303.10780","title":"A Comprehensive Review of Spiking Neural Networks: Interpretation, Optimization, Efficiency, and Best Practices","created":"2023-03-19","cited_by_count":8,"area":null},{"id":"2310.14576","title":"Tensor Decomposition Based Attention Module for Spiking Neural Networks","created":"2023-10-23","cited_by_count":8,"area":null},{"id":"2402.11984","title":"Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks","created":"2024-02-19","cited_by_count":8,"area":null},{"id":"2406.00405","title":"Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural Networks","created":"2024-06-01","cited_by_count":8,"area":null},{"id":"2407.14073","title":"LoAS: Fully Temporal-Parallel Dataflow for Dual-Sparse Spiking Neural Networks","created":"2024-07-19","cited_by_count":8,"area":null},{"id":"2410.11488","title":"Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation","created":"2024-10-15","cited_by_count":8,"area":null}],"next_cursor":"100"}