% Key papers for Training deep spiking networks (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{aaai2019_direct_100351,
  title = {{Direct Training for Spiking Neural Networks: Faster, Larger, Better}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/3929},
}

@inproceedings{aaai2021_going_676,
  title = {{Going Deeper With Directly-Trained Larger Spiking Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/11062-going-deeper-with-directly-trained-larger-spiking-neural-networks/},
}

@inproceedings{neurips2018_slayer_57593,
  title = {{SLAYER: Spike Layer Error Reassignment in Time}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11157},
}

@inproceedings{cvpr2020_rmp_16084,
  title = {{RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{neurips2021_deep_61377,
  title = {{Deep Residual Learning in Spiking Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27549},
}

@inproceedings{cvpr2022_training_20072,
  title = {{Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2020_temporal_60925,
  title = {{Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17190},
}

@inproceedings{iclr2021_optimal_30141,
  title = {{Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2644},
}

@inproceedings{iclr2022_temporal_31430,
  title = {{Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6033},
}

@inproceedings{aaai2022_optimized_2522,
  title = {{Optimized Potential Initialization for Low-Latency Spiking Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/00011-optimized-potential-initialization-for-low-latency-spiking-neural-networks/},
}

@inproceedings{cvpr2023_constructing_20637,
  title = {{Constructing Deep Spiking Neural Networks From Artificial Neural Networks With Knowledge Distillation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21644},
}

@inproceedings{iclr2022_optimal_30903,
  title = {{Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/5899},
}

@inproceedings{aaai2021_temporal_1481,
  title = {{Temporal-Coded Deep Spiking Neural Network with Easy Training and Robust Performance}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/11143-temporal-coded-deep-spiking-neural-network-with-easy-training-and-robust-performance/},
}

@inproceedings{aaai2019_tdsnn_100352,
  title = {{TDSNN: From Deep Neural Networks to Deep Spike Neural Networks with Temporal-Coding}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/3931},
}

@inproceedings{aaai2018_a_100362,
  title = {{A Plasticity-Centric Approach to Train the Non-Differential Spiking Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11317},
}

@inproceedings{aaai2021_near_1045,
  title = {{Near Lossless Transfer Learning for Spiking Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/10577-near-lossless-transfer-learning-for-spiking-neural-networks/},
}

@inproceedings{aaai2023_reducing_4493,
  title = {{Reducing ANN-SNN Conversion Error through Residual Membrane Potential}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25071},
}

@inproceedings{aaai2021_training_1551,
  title = {{Training Spiking Neural Networks with Accumulated Spiking Flow}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/10320-training-spiking-neural-networks-with-accumulated-spiking-flow/},
}

@inproceedings{aaai2022_spikeconverter_2769,
  title = {{SpikeConverter: An Efficient Conversion Framework Zipping the Gap between Artificial Neural Networks and Spiking Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/01692-spikeconverter-an-efficient-conversion-framework-zipping-the-gap-between-artificial-neural-networks-and-spiking-neural-networks/},
}

@inproceedings{aaai2023_esl_3528,
  title = {{ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25079},
}

@inproceedings{aaai2024_gated_6102,
  title = {{Gated Attention Coding for Training High-Performance and Efficient Spiking Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27816},
}

@inproceedings{aaai2024_ternary_7521,
  title = {{Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29114},
}

@inproceedings{iclr2024_learning_33628,
  title = {{Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19447},
}

@inproceedings{aaai2025_fsta_9118,
  title = {{FSTA-SNN:Frequency-Based Spatial-Temporal Attention Module for Spiking Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34377},
}

@inproceedings{aaai2024_memory_6625,
  title = {{Memory-Efficient Reversible Spiking Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29616},
}

@inproceedings{aaai2024_enhancing_5858,
  title = {{Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29635},
}

@inproceedings{aaai2024_enhancing_5862,
  title = {{Enhancing Training of Spiking Neural Network with Stochastic Latency}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28964},
}

@inproceedings{cvpr2024_are_22781,
  title = {{Are Conventional SNNs Really Efficient? A Perspective from Network Quantization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29731},
}

@inproceedings{aaai2026_spikingformer_100156,
  title = {{Spikingformer: A Key Foundation Model for Spiking Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37207},
}

@inproceedings{aaai2025_advancing_8058,
  title = {{Advancing Spiking Neural Networks Towards Multiscale Spatiotemporal Interaction Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32141},
}

@inproceedings{cvpr2025_temporal_27838,
  title = {{Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34834},
}

@inproceedings{neurips2024_rethinking_70574,
  title = {{Rethinking the Membrane Dynamics and Optimization Objectives of Spiking Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96543},
}

@inproceedings{neurips2024_autonomous_70804,
  title = {{Autonomous Driving with Spiking Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96329},
}

@inproceedings{cvpr2025_inference_26623,
  title = {{Inference-Scale Complexity in ANN-SNN Conversion for High-Performance and Low-Power Applications}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34351},
}

@inproceedings{cvpr2025_efficient_26089,
  title = {{Efficient ANN-Guided Distillation: Aligning Rate-based Features of Spiking Neural Networks through Hybrid Block-wise Replacement}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34359},
}

@inproceedings{aaai2025_self_10715,
  title = {{Self-Attentive Spatio-Temporal Calibration for Precise Intermediate Layer Matching in ANN-to-SNN Distillation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33895},
}

@inproceedings{icml2024_spikezip_44258,
  title = {{SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34194},
}

@inproceedings{neurips2024_lm_71509,
  title = {{LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95754},
}

@inproceedings{neurips2024_spiking_73473,
  title = {{Spiking Token Mixer: An event-driven friendly Former structure for spiking neural networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93999},
}

@inproceedings{neurips2024_take_74513,
  title = {{Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93065},
}