{"total":123,"rows":[{"id":"2209.15425","title":"Spikformer: When Spiking Neural Network Meets Transformer","created":"2022-09-29","cited_by_count":271,"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":"2212.05598","title":"Recurrent Vision Transformers for Object Detection with Event Cameras","created":"2022-12-11","cited_by_count":159,"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":"2110.11417","title":"HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training with Crafted Input Noise","created":"2021-10-06","cited_by_count":65,"area":null},{"id":"2201.10943","title":"Event-based Video Reconstruction via Potential-assisted Spiking Neural Network","created":"2022-01-25","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":"2305.19868","title":"Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANN","created":"2023-05-31","cited_by_count":46,"area":null},{"id":"2105.04916","title":"Pruning of Deep Spiking Neural Networks through Gradient Rewiring","created":"2021-05-11","cited_by_count":43,"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":"2109.14247","title":"Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State","created":"2021-09-29","cited_by_count":40,"area":null},{"id":"2201.12738","title":"AutoSNN: Towards Energy-Efficient Spiking Neural Networks","created":"2022-01-30","cited_by_count":40,"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":"2104.10719","title":"A Fully Spiking Hybrid Neural Network for Energy-Efficient Object Detection","created":"2021-04-21","cited_by_count":31,"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":"2106.05836","title":"EventDrop: data augmentation for event-based learning","created":"2021-06-07","cited_by_count":28,"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":"2103.14441","title":"Visual Explanations from Spiking Neural Networks using Interspike Intervals","created":"2021-03-26","cited_by_count":27,"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":"2202.03133","title":"Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks?","created":"2022-01-31","cited_by_count":25,"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":"2210.06386","title":"Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks","created":"2022-10-12","cited_by_count":21,"area":null},{"id":"2306.17046","title":"Spiking Denoising Diffusion Probabilistic Models","created":"2023-06-29","cited_by_count":19,"area":"diffusion"},{"id":"2110.05929","title":"One Timestep is All You Need: Training Spiking Neural Networks with Ultra Low Latency","created":"2021-10-01","cited_by_count":17,"area":null},{"id":"2104.03414","title":"PrivateSNN: Privacy-Preserving Spiking Neural Networks","created":"2021-04-07","cited_by_count":15,"area":null},{"id":"2109.06452","title":"Spiking Neural Networks for Visual Place Recognition via Weighted Neuronal Assignments","created":"2021-09-14","cited_by_count":15,"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":"2402.11322","title":"SpikeNAS: A Fast Memory-Aware Neural Architecture Search Framework for Spiking Neural Network-based Embedded AI Systems","created":"2024-02-17","cited_by_count":12,"area":null},{"id":"2106.07172","title":"Energy-efficient Knowledge Distillation for Spiking Neural Networks","created":"2021-06-14","cited_by_count":11,"area":"distill"},{"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":"2503.02689","title":"STAA-SNN: Spatial-Temporal Attention Aggregator for Spiking Neural Networks","created":"2025-03-04","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":"2304.11954","title":"Spikingformer: A Key Foundation Model for Spiking Neural Networks","created":"2023-04-24","cited_by_count":10,"area":null},{"id":"2305.09850","title":"MINT: Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks","created":"2023-05-16","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":"2112.12133","title":"Can Deep Neural Networks be Converted to Ultra Low-Latency Spiking Neural Networks?","created":"2021-12-22","cited_by_count":9,"area":null},{"id":"2311.13186","title":"Applications of Spiking Neural Networks in Visual Place Recognition","created":"2023-11-22","cited_by_count":9,"area":null},{"id":"2307.16235","title":"Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey","created":"2023-07-30","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":"2107.12445","title":"Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided Compression","created":"2021-07-16","cited_by_count":7,"area":null},{"id":"2205.10121","title":"Converting Artificial Neural Networks to Spiking Neural Networks via Parameter Calibration","created":"2022-05-06","cited_by_count":7,"area":null},{"id":"2206.09449","title":"SNN2ANN: A Fast and Memory-Efficient Training Framework for Spiking Neural Networks","created":"2022-06-19","cited_by_count":7,"area":null},{"id":"2209.08723","title":"Ensembles of Compact, Region-specific & Regularized Spiking Neural Networks for Scalable Place Recognition","created":"2022-09-19","cited_by_count":7,"area":null},{"id":"2306.12465","title":"Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free Inference","created":"2023-06-21","cited_by_count":7,"area":null},{"id":"2311.09266","title":"Adversarially Robust Spiking Neural Networks Through Conversion","created":"2023-11-15","cited_by_count":7,"area":null},{"id":"2406.14178","title":"EvSegSNN: Neuromorphic Semantic Segmentation for Event Data","created":"2024-06-20","cited_by_count":7,"area":null},{"id":"2108.13621","title":"Spike time displacement based error backpropagation in convolutional spiking neural networks","created":"2021-08-31","cited_by_count":6,"area":null},{"id":"2203.01544","title":"Rethinking the role of normalization and residual blocks for spiking neural networks","created":"2022-03-03","cited_by_count":6,"area":null},{"id":"2211.08410","title":"Low Latency Conversion of Artificial Neural Network Models to Rate-encoded Spiking Neural Networks","created":"2022-10-27","cited_by_count":6,"area":null},{"id":"2302.09238","title":"KLIF: An optimized spiking neuron unit for tuning surrogate gradient slope and membrane potential","created":"2023-02-18","cited_by_count":6,"area":null},{"id":"2303.11127","title":"MT-SNN: Enhance Spiking Neural Network with Multiple Thresholds","created":"2023-03-20","cited_by_count":6,"area":null},{"id":"2312.07922","title":"Memory-Efficient Reversible Spiking Neural Networks","created":"2023-12-13","cited_by_count":6,"area":null},{"id":"2103.00944","title":"A Little Energy Goes a Long Way: Build an Energy-Efficient, Accurate Spiking Neural Network from Convolutional Neural Network","created":"2021-03-01","cited_by_count":5,"area":null},{"id":"2103.04314","title":"Expert System Gradient Descent Style Training: Development of a Defensible Artificial Intelligence Technique","created":"2021-03-07","cited_by_count":5,"area":null},{"id":"2109.08234","title":"Deep Spiking Neural Networks with Resonate-and-Fire Neurons","created":"2021-09-16","cited_by_count":5,"area":null},{"id":"2404.10210","title":"MK-SGN: A Spiking Graph Convolutional Network with Multimodal Fusion and Knowledge Distillation for Skeleton-based Action Recognition","created":"2024-04-16","cited_by_count":5,"area":null},{"id":"2502.02692","title":"Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges","created":"2025-02-04","cited_by_count":5,"area":null},{"id":"2505.04165","title":"TS-SNN: Temporal Shift Module for Spiking Neural Networks","created":"2025-05-07","cited_by_count":5,"area":null},{"id":"2105.14740","title":"A Study On the Effects of Pre-processing On Spatio-temporal Action Recognition Using Spiking Neural Networks Trained with STDP","created":"2021-05-31","cited_by_count":4,"area":null},{"id":"2306.02960","title":"Best of Both Worlds: Hybrid SNN-ANN Architecture for Event-based Optical Flow Estimation","created":"2023-06-05","cited_by_count":4,"area":null},{"id":"2401.02429","title":"Brain-Inspired Spiking Neural Networks for Industrial Fault Diagnosis: A Survey, Challenges, and Opportunities","created":"2023-11-13","cited_by_count":4,"area":null},{"id":"2406.02349","title":"CADE: Cosine Annealing Differential Evolution for Spiking Neural Network","created":"2024-06-04","cited_by_count":4,"area":null},{"id":"2412.03192","title":"Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging","created":"2024-12-04","cited_by_count":4,"area":null},{"id":"2506.01968","title":"Efficient ANN-SNN Conversion with Error Compensation Learning","created":"2025-05-12","cited_by_count":4,"area":null},{"id":"2105.05609","title":"Deep Spiking Convolutional Neural Network for Single Object Localization Based On Deep Continuous Local Learning","created":"2021-05-12","cited_by_count":3,"area":null},{"id":"2107.11979","title":"HYPER-SNN: Towards Energy-efficient Quantized Deep Spiking Neural Networks for Hyperspectral Image Classification","created":"2021-07-26","cited_by_count":3,"area":null},{"id":"2201.07210","title":"Efficient Training of Spiking Neural Networks with Temporally-Truncated Local Backpropagation through Time","created":"2021-12-13","cited_by_count":3,"area":null},{"id":"2211.16113","title":"Timing-Based Backpropagation in Spiking Neural Networks Without Single-Spike Restrictions","created":"2022-11-29","cited_by_count":3,"area":null},{"id":"2301.07275","title":"Multi-compartment Neuron and Population Encoding Powered Spiking Neural Network for Deep Distributional Reinforcement Learning","created":"2023-01-18","cited_by_count":3,"area":null},{"id":"2304.10749","title":"Multi-scale Evolutionary Neural Architecture Search for Deep Spiking Neural Networks","created":"2023-04-21","cited_by_count":3,"area":null},{"id":"2308.02557","title":"Attention-free Spikformer: Mixing Spike Sequences with Simple Linear Transforms","created":"2023-08-02","cited_by_count":3,"area":null},{"id":"2308.04672","title":"Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks","created":"2023-08-09","cited_by_count":3,"area":null},{"id":"2308.10373","title":"HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds","created":"2023-08-20","cited_by_count":3,"area":null},{"id":"2311.16456","title":"Spiking Neural Networks with Dynamic Time Steps for Vision Transformers","created":"2023-11-28","cited_by_count":3,"area":null},{"id":"2406.15034","title":"SVFormer: A Direct Training Spiking Transformer for Efficient Video Action Recognition","created":"2024-06-21","cited_by_count":3,"area":null},{"id":"2408.16467","title":"Spiking Diffusion Models","created":"2024-08-29","cited_by_count":3,"area":"diffusion"},{"id":"2503.20485","title":"Underwater Image Enhancement by Convolutional Spiking Neural Networks","created":"2025-03-26","cited_by_count":3,"area":null},{"id":"2506.03392","title":"Improving Performance of Spike-based Deep Q-Learning using Ternary Neurons","created":"2025-06-03","cited_by_count":3,"area":null},{"id":"2109.11045","title":"Training Deep Spiking Auto-encoders without Bursting or Dying Neurons through Regularization","created":"2021-09-22","cited_by_count":2,"area":null},{"id":"2203.13028","title":"Brain inspired neuronal silencing mechanism to enable reliable sequence identification","created":"2022-03-24","cited_by_count":2,"area":null},{"id":"2203.16117","title":"SIT: A Bionic and Non-Linear Neuron for Spiking Neural Network","created":"2022-03-30","cited_by_count":2,"area":null},{"id":"2211.05453","title":"A noise based novel strategy for faster SNN training","created":"2022-11-10","cited_by_count":2,"area":null},{"id":"2212.04377","title":"Models Developed for Spiking Neural Networks","created":"2022-12-08","cited_by_count":2,"area":null},{"id":"2302.09634","title":"Magnitude Matters: Fixing SIGNSGD Through Magnitude-Aware Sparsification in the Presence of Data Heterogeneity","created":"2023-02-19","cited_by_count":2,"area":null},{"id":"2312.01742","title":"Fully Spiking Denoising Diffusion Implicit Models","created":"2023-12-04","cited_by_count":2,"area":"diffusion"},{"id":"2404.01685","title":"SpiKernel: A Kernel Size Exploration Methodology for Improving Accuracy of the Embedded Spiking Neural Network Systems","created":"2024-04-02","cited_by_count":2,"area":null},{"id":"2411.09953","title":"Brain-inspired Action Generation with Spiking Transformer Diffusion Policy Model","created":"2024-11-15","cited_by_count":2,"area":"diffusion"},{"id":"2512.01882","title":"New Spiking Architecture for Multi-Modal Decision-Making in Autonomous Vehicles","created":"2025-12-01","cited_by_count":2,"area":"driving"},{"id":"2109.13208","title":"Spiking neural networks trained via proxy","created":"2021-09-27","cited_by_count":1,"area":null},{"id":"2201.10879","title":"S$^3$NN: Time Step Reduction of Spiking Surrogate Gradients for Training Energy Efficient Single-Step Spiking Neural Networks","created":"2022-01-26","cited_by_count":1,"area":null},{"id":"2309.05263","title":"Brain-inspired Evolutionary Architectures for Spiking Neural Networks","created":"2023-09-11","cited_by_count":1,"area":null},{"id":"2407.00641","title":"NeuroNAS: Enhancing Efficiency of Neuromorphic In-Memory Computing for Intelligent Mobile Agents through Hardware-Aware Spiking Neural Architecture Search","created":"2024-06-30","cited_by_count":1,"area":null},{"id":"2410.15293","title":"Fractional-order spike-timing-dependent gradient descent for multi-layer spiking neural networks","created":"2024-10-20","cited_by_count":1,"area":null},{"id":"2502.10423","title":"Spiking Neural Network Feature Discrimination Boosts Modality Fusion","created":"2025-02-05","cited_by_count":1,"area":null},{"id":"2504.02298","title":"SPACE: SPike-Aware Consistency Enhancement for Test-Time Adaptation in Spiking Neural Networks","created":"2025-04-03","cited_by_count":1,"area":null},{"id":"2505.01730","title":"PASCAL: Precise and Efficient ANN- SNN Conversion using Spike Accumulation and Adaptive Layerwise Activation","created":"2025-05-03","cited_by_count":1,"area":null},{"id":"2506.09098","title":"WD-DETR: Wavelet Denoising-Enhanced Real-Time Object Detection Transformer for Robot Perception with Event Cameras","created":"2025-06-10","cited_by_count":1,"area":null}],"next_cursor":"100"}