{"list":"other","total":63,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"id":"2005.14165","title":"Language Models are Few-Shot Learners","created":"2020-05-28","cited_by_count":32419},{"id":"1409.1556","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","created":"2014-09-04","cited_by_count":15364},{"id":"1409.0575","title":"ImageNet Large Scale Visual Recognition Challenge","created":"2014-09-01","cited_by_count":8498},{"id":"1901.09948","title":"Surrogate Gradient Learning in Spiking Neural Networks","created":"2019-01-28","cited_by_count":626},{"id":"1706.02609","title":"Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks","created":"2017-06-08","cited_by_count":406},{"id":"2102.04159","title":"Deep Residual Learning in Spiking Neural Networks","created":"2021-02-08","cited_by_count":331},{"id":"2011.05280","title":"Going Deeper With Directly-Trained Larger Spiking Neural Networks","created":"2020-10-29","cited_by_count":278},{"id":"2209.15425","title":"Spikformer: When Spiking Neural Network Meets Transformer","created":"2022-09-29","cited_by_count":271},{"id":"2212.13345","title":"The Forward-Forward Algorithm: Some Preliminary Investigations","created":"2022-12-27","cited_by_count":266},{"id":"1602.05179","title":"Equilibrium Propagation: Bridging the Gap Between Energy-Based Models and Backpropagation","created":"2016-02-16","cited_by_count":259},{"id":"2109.12894","title":"Training Spiking Neural Networks Using Lessons From Deep Learning","created":"2021-09-27","cited_by_count":259},{"id":"1802.02627","title":"Going Deeper in Spiking Neural Networks: VGG and Residual Architectures","created":"2018-02-07","cited_by_count":245},{"id":"1809.05793","title":"Direct Training for Spiking Neural Networks: Faster, Larger, Better","created":"2018-09-16","cited_by_count":233},{"id":"2202.11946","title":"Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting","created":"2022-02-24","cited_by_count":198},{"id":"1705.11146","title":"SuperSpike: Supervised learning in multi-layer spiking neural networks","created":"2017-05-31","cited_by_count":182},{"id":"1903.06530","title":"Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection","created":"2019-03-12","cited_by_count":177},{"id":"2307.01694","title":"Spike-driven Transformer","created":"2023-07-04","cited_by_count":146},{"id":"2003.01811","title":"RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network","created":"2020-02-25","cited_by_count":145},{"id":"2103.00476","title":"Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks","created":"2021-02-28","cited_by_count":139},{"id":"2210.13452","title":"MetaFormer Baselines for Vision","created":"2022-10-24","cited_by_count":132},{"id":"2303.04347","title":"Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks","created":"2023-03-08","cited_by_count":122},{"id":"2106.06984","title":"A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration","created":"2021-06-13","cited_by_count":117},{"id":"2209.13929","title":"Attention Spiking Neural Networks","created":"2022-09-28","cited_by_count":107},{"id":"2107.11711","title":"Temporal-wise Attention Spiking Neural Networks for Event Streams Classification","created":"2021-07-25","cited_by_count":106},{"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},{"id":"2302.13939","title":"SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks","created":"2023-02-27","cited_by_count":88},{"id":"2010.01729","title":"Revisiting Batch Normalization for Training Low-latency Deep Spiking Neural Networks from Scratch","created":"2020-10-05","cited_by_count":80},{"id":"2112.08954","title":"Advancing Spiking Neural Networks towards Deep Residual Learning","created":"2021-12-15","cited_by_count":79},{"id":"1603.08270","title":"Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing","created":"2016-03-28","cited_by_count":70},{"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},{"id":"2201.10355","title":"Neural Architecture Search for Spiking Neural Networks","created":"2022-01-23","cited_by_count":53},{"id":"2403.16552","title":"QKFormer: Hierarchical Spiking Transformer using Q-K Attention","created":"2024-03-25","cited_by_count":49},{"id":"2308.10873","title":"SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation","created":"2023-08-21","cited_by_count":48},{"id":"2007.01204","title":"Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks","created":"2020-07-02","cited_by_count":47},{"id":"2305.19868","title":"Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANN","created":"2023-05-31","cited_by_count":46},{"id":"2304.05627","title":"Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation","created":"2023-04-12","cited_by_count":44},{"id":"2202.01440","title":"Optimized Potential Initialization for Low-latency Spiking Neural Networks","created":"2022-02-03","cited_by_count":41},{"id":"2201.12738","title":"AutoSNN: Towards Energy-Efficient Spiking Neural Networks","created":"2022-01-30","cited_by_count":40},{"id":"2403.14302","title":"SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks","created":"2024-03-21","cited_by_count":40},{"id":"2210.01208","title":"Masked Spiking Transformer","created":"2022-10-03","cited_by_count":39},{"id":"2308.08359","title":"Membrane Potential Batch Normalization for Spiking Neural Networks","created":"2023-08-16","cited_by_count":35},{"id":"2305.19725","title":"Direct Learning-Based Deep Spiking Neural Networks: A Review","created":"2023-05-31","cited_by_count":31},{"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},{"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},{"id":"2312.17582","title":"Darwin3: A large-scale neuromorphic chip with a Novel ISA and On-Chip Learning","created":"2023-12-29","cited_by_count":22},{"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},{"id":"2308.04369","title":"SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition","created":"2023-08-08","cited_by_count":20},{"id":"2402.04798","title":"Spiking-PhysFormer: Camera-Based Remote Photoplethysmography with Parallel Spike-driven Transformer","created":"2024-02-07","cited_by_count":19},{"id":"2406.03470","title":"SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN","created":"2024-06-05","cited_by_count":18},{"id":"2401.11687","title":"TIM: An Efficient Temporal Interaction Module for Spiking Transformer","created":"2024-01-22","cited_by_count":12},{"id":"2403.11138","title":"Spiking Wavelet Transformer","created":"2024-03-17","cited_by_count":11},{"id":"2303.09681","title":"Highly Efficient 3D Human Pose Tracking from Events with Spiking Spatiotemporal Transformer","created":"2023-03-16","cited_by_count":10},{"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},{"id":"2307.00293","title":"AutoST: Training-free Neural Architecture Search for Spiking Transformers","created":"2023-07-01","cited_by_count":6},{"id":"2312.07922","title":"Memory-Efficient Reversible Spiking Neural Networks","created":"2023-12-13","cited_by_count":6},{"id":"2402.09424","title":"Epilepsy Seizure Detection and Prediction using an Approximate Spiking Convolutional Transformer","created":"2024-01-21","cited_by_count":6},{"id":"2310.06488","title":"SpikeCLIP: A Contrastive Language-Image Pretrained Spiking Neural Network","created":"2023-10-10","cited_by_count":4},{"id":"2311.09376","title":"DISTA: Denoising Spiking Transformer with intrinsic plasticity and spatiotemporal attention","created":"2023-11-15","cited_by_count":4},{"id":"2402.11588","title":"SDiT: Spiking Diffusion Model with Transformer","created":"2024-02-18","cited_by_count":4},{"id":"2308.02557","title":"Attention-free Spikformer: Mixing Spike Sequences with Simple Linear Transforms","created":"2023-08-02","cited_by_count":3},{"id":"2311.16456","title":"Spiking Neural Networks with Dynamic Time Steps for Vision Transformers","created":"2023-11-28","cited_by_count":3}],"next_cursor":null}