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

@inproceedings{iclr2023_spikformer_32948,
  title = {{Spikformer: When Spiking Neural Network Meets Transformer}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/12139},
}

@inproceedings{cvpr2024_spikingresformer_24877,
  title = {{SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30376},
}

@inproceedings{neurips2021_self_62039,
  title = {{Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28132},
}

@inproceedings{neurips2023_spike_67097,
  title = {{Spike-driven Transformer}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72606},
}

@inproceedings{neurips2024_qkformer_70951,
  title = {{QKFormer: Hierarchical Spiking Transformer using Q-K Attention}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96252},
}

@inproceedings{aaai2024_shrinking_7333,
  title = {{Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29066},
}

@inproceedings{cvpr2025_spiking_27729,
  title = {{Spiking Transformer with Spatial-Temporal Attention}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34119},
}

@inproceedings{neurips2022_training_65934,
  title = {{Training Spiking Neural Networks with Local Tandem Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54762},
}

@inproceedings{iclr2024_spike_33488,
  title = {{Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19587},
}

@inproceedings{aaai2025_spike2former_10820,
  title = {{Spike2Former: Efficient Spiking Transformer for High-performance Image Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32126},
}

@inproceedings{cvpr2025_staa_27545,
  title = {{STAA-SNN: Spatial-Temporal Attention Aggregator for Spiking Neural Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34574},
}

@inproceedings{iclr2020_spikegrad_29869,
  title = {{SpikeGrad: An ANN-equivalent Computation Model for Implementing Backpropagation with Spikes}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=rkxs0yHFPH},
}

@inproceedings{cvpr2025_spiking_27730,
  title = {{Spiking Transformer: Introducing Accurate Addition-Only Spiking Self-Attention for Transformer}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33151},
}

@inproceedings{neurips2024_spikedattention_73258,
  title = {{SpikedAttention: Training-Free and Fully Spike-Driven Transformer-to-SNN Conversion with Winner-Oriented Spike Shift for Softmax Operation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94181},
}

@inproceedings{aaai2025_adaptive_8023,
  title = {{Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32150},
}

@inproceedings{cvpr2025_rethinking_27449,
  title = {{Rethinking Spiking Self-Attention Mechanism: Implementing a-XNOR Similarity Calculation in Spiking Transformers}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33850},
}

@inproceedings{neurips2025_spiking_77596,
  title = {{Spiking Meets Attention: Efficient Remote Sensing Image Super-Resolution with Attention Spiking Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=VaE33hkqmg},
}

@inproceedings{neurips2024_advancing_74446,
  title = {{Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93126},
}

@inproceedings{icml2024_high_45525,
  title = {{High-Performance Temporal Reversible Spiking Neural Networks with \$mathcalO(L)\$ Training Memory and \$mathcalO(1)\$ Inference Cost}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32927},
}

@inproceedings{neurips2025_spiking_79397,
  title = {{Spiking Neural Networks Need High-Frequency Information}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=owNPAl7LNK},
}

@inproceedings{aaai2026_exploring_100448,
  title = {{Exploring the Potentials of Spiking Neural Networks for Image Deraining}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37295},
}

@inproceedings{cvpr2025_vistream_28051,
  title = {{VISTREAM: Improving Computation Efficiency of Visual Streaming Perception via Law-of-Charge-Conservation Inspired Spiking Neural Network}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34908},
}

@inproceedings{icml2024_spikelm_43428,
  title = {{SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/35024},
}

@inproceedings{neurips2025_s_77721,
  title = {{S\$^2\$M-Former: Spiking Symmetric Mixing Branchformer for Brain Auditory Attention Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=WtMuGdHvh6},
}

@inproceedings{iclr2025_spiking_83590,
  title = {{Spiking Vision Transformer with Saccadic Attention}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28227},
}