{"total":53,"rows":[{"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":"2210.04195","title":"Online Training Through Time for Spiking Neural Networks","created":"2022-10-09","cited_by_count":49,"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":"2304.01230","title":"SEENN: Towards Temporal Spiking Early-Exit Neural Networks","created":"2023-04-02","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":"2305.19725","title":"Direct Learning-Based Deep Spiking Neural Networks: A Review","created":"2023-05-31","cited_by_count":31,"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":"2211.14406","title":"Exploring Temporal Information Dynamics in Spiking Neural Networks","created":"2022-11-26","cited_by_count":24,"area":null},{"id":"2308.15122","title":"SpikeBERT: A Language Spikformer Learned from BERT with Knowledge Distillation","created":"2023-08-29","cited_by_count":17,"area":"distill"},{"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":"2303.10276","title":"Unleashing the Potential of Spiking Neural Networks by Dynamic Confidence","created":"2023-03-17","cited_by_count":15,"area":null},{"id":"2308.08227","title":"Inherent Redundancy in Spiking Neural Networks","created":"2023-08-16","cited_by_count":13,"area":null},{"id":"2302.13019","title":"A Unified Framework for Soft Threshold Pruning","created":"2023-02-25","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":"2304.13098","title":"Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient","created":"2023-04-25","cited_by_count":11,"area":null},{"id":"2201.10777","title":"Meta-learning Spiking Neural Networks with Surrogate Gradient Descent","created":"2022-01-26","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":"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":"2309.15467","title":"Enabling Resource-efficient AIoT System with Cross-level Optimization: A survey","created":"2023-09-27","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":"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":"2306.12465","title":"Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free Inference","created":"2023-06-21","cited_by_count":7,"area":null},{"id":"2404.03325","title":"Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack","created":"2024-04-04","cited_by_count":7,"area":null},{"id":"2409.02111","title":"Toward Large-scale Spiking Neural Networks: A Comprehensive Survey and Future Directions","created":"2024-08-19","cited_by_count":7,"area":null},{"id":"2212.02233","title":"Wearable-based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks","created":"2022-11-14","cited_by_count":6,"area":null},{"id":"2307.00293","title":"AutoST: Training-free Neural Architecture Search for Spiking Transformers","created":"2023-07-01","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":"2212.10170","title":"Hoyer regularizer is all you need for ultra low-latency spiking neural networks","created":"2022-12-20","cited_by_count":4,"area":null},{"id":"2505.18023","title":"Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time","created":"2025-05-23","cited_by_count":4,"area":null},{"id":"2301.12356","title":"Exploiting High Performance Spiking Neural Networks with Efficient Spiking Patterns","created":"2023-01-29","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":"2404.03714","title":"SpikeExplorer: hardware-oriented Design Space Exploration for Spiking Neural Networks on FPGA","created":"2024-04-04","cited_by_count":3,"area":null},{"id":"2510.14770","title":"MoCom: Motion-based Inter-MAV Visual Communication Using Event Vision and Spiking Neural Networks","created":"2025-10-16","cited_by_count":3,"area":null},{"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":"2405.00699","title":"Direct Training Needs Regularisation: Anytime Optimal Inference Spiking Neural Network","created":"2024-04-15","cited_by_count":2,"area":null},{"id":"2407.05262","title":"FastSpiker: Enabling Fast Training for Spiking Neural Networks on Event-based Data through Learning Rate Enhancements for Autonomous Embedded Systems","created":"2024-07-07","cited_by_count":2,"area":null},{"id":"2507.14069","title":"Edge Intelligence with Spiking Neural Networks","created":"2025-07-18","cited_by_count":2,"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":"2303.13563","title":"Skip Connections in Spiking Neural Networks: An Analysis of Their Effect on Network Training","created":"2023-03-23","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":"2403.00450","title":"Parallel Hyperparameter Optimization Of Spiking Neural Network","created":"2024-03-01","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":"2408.12767","title":"When In-memory Computing Meets Spiking Neural Networks -- A Perspective on Device-Circuit-System-and-Algorithm Co-design","created":"2024-08-22","cited_by_count":1,"area":null},{"id":"2503.21846","title":"LightSNN: Lightweight Architecture Search for Sparse and Accurate Spiking Neural Networks","created":"2025-03-27","cited_by_count":1,"area":null},{"id":"2504.21545","title":"Meta knowledge assisted Evolutionary Neural Architecture Search","created":"2025-04-30","cited_by_count":1,"area":null},{"id":"2602.02439","title":"Energy-Efficient Neuromorphic Computing for Edge AI: A Framework with Adaptive Spiking Neural Networks and Hardware-Aware Optimization","created":"2026-02-02","cited_by_count":1,"area":null},{"id":"2305.10987","title":"SPENSER: Towards a NeuroEvolutionary Approach for Convolutional Spiking Neural Networks","created":"2023-05-18","cited_by_count":0,"area":null},{"id":"2311.09225","title":"Autonomous Driving using Spiking Neural Networks on Dynamic Vision Sensor Data: A Case Study of Traffic Light Change Detection","created":"2023-09-27","cited_by_count":0,"area":null},{"id":"2411.00902","title":"Differentiable architecture search with multi-dimensional attention for spiking neural networks","created":"2024-11-01","cited_by_count":0,"area":null},{"id":"2507.02945","title":"SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning","created":"2025-06-28","cited_by_count":0,"area":"deeprl"},{"id":"2507.13485","title":"Neural Architecture Search with Mixed Bio-inspired Learning Rules","created":"2025-07-17","cited_by_count":0,"area":null},{"id":"2604.27004","title":"EdgeSpike: Spiking Neural Networks for Low-Power Autonomous Sensing in Edge IoT Architectures","created":"2026-04-29","cited_by_count":0,"area":null}],"next_cursor":null}