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

@inproceedings{iclr2017_paying_28329,
  title = {{Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2017},
  url = {https://openreview.net/forum?id=Sks9_ajex},
}

@inproceedings{cvpr2016_eye_11538,
  title = {{Eye Tracking for Everyone}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{iclr2018_matrix_28513,
  title = {{Matrix capsules with EM routing}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/87},
}

@inproceedings{cvpr2018_resource_13527,
  title = {{Resource Aware Person Re-Identification Across Multiple Resolutions}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Resource_Aware_Person_CVPR_2018_paper.html},
}

@inproceedings{neurips2016_deep_55668,
  title = {{Deep Learning Models of the Retinal Response to Natural Scenes}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7010},
}

@inproceedings{cvpr2018_deep_12980,
  title = {{Deep Regression Forests for Age Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Shen_Deep_Regression_Forests_CVPR_2018_paper.html},
}

@inproceedings{cvpr2016_recurrently_11806,
  title = {{Recurrently Target-Attending Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2018_direct_13017,
  title = {{Direct Shape Regression Networks for End-to-End Face Alignment}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Miao_Direct_Shape_Regression_CVPR_2018_paper.html},
}

@inproceedings{cvpr2019_mixed_14521,
  title = {{Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2018_deep_12970,
  title = {{Deep Learning Under Privileged Information Using Heteroscedastic Dropout}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Lambert_Deep_Learning_Under_CVPR_2018_paper.html},
}

@inproceedings{iclr2020_on_29473,
  title = {{On the Relationship between Self-Attention and Convolutional Layers}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=HJlnC1rKPB},
}

@inproceedings{iclr2019_a_29027,
  title = {{A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/732},
}

@inproceedings{aaai2017_understanding_99775,
  title = {{Understanding the Semantic Structures of Tables with a Hybrid Deep Neural Network Architecture}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10484},
}

@inproceedings{cvpr2021_relevance_17733,
  title = {{Relevance-CAM: Your Model Already Knows Where To Look}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{icml2018_a_36483,
  title = {{A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2279},
}

@inproceedings{neurips2017_targeting_56706,
  title = {{Targeting EEG/LFP Synchrony with Neural Nets}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9239},
}

@inproceedings{neurips2017_neural_56512,
  title = {{Neural system identification for large populations separating “what” and “where”}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9134},
}

@inproceedings{cvpr2020_belief_15188,
  title = {{Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{neurips2020_beyond_59461,
  title = {{Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17099},
}

@inproceedings{aaai2018_learning_104020,
  title = {{Learning Adaptive Hidden Layers for Mobile Gesture Recognition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/12279},
}

@inproceedings{aaai2025_parsecaps_10271,
  title = {{ParseCaps: An Interpretable Parsing Capsule Network for Medical Image Diagnosis}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32321},
}

@inproceedings{neurips2024_monkeysee_71946,
  title = {{MonkeySee: Space-time-resolved reconstructions of natural images from macaque multi-unit activity}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95362},
}

@inproceedings{cvpr2025_cryptoface_25803,
  title = {{CryptoFace: End-to-End Encrypted Face Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32906},
}

@inproceedings{neurips2024_dendritic_70277,
  title = {{Dendritic Integration Inspired Artificial Neural Networks Capture Data Correlation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96812},
}

@inproceedings{neurips2025_explicitly_77850,
  title = {{Explicitly Modeling Subcortical Vision with a Neuro-Inspired Front-End Improves CNN Robustness}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=YEakcHa98a},
}

@inproceedings{aaai2025_alignment_8084,
  title = {{Alignment of CNN and Human Judgments of Geometric and Topological Concepts}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32147},
}

@inproceedings{icml2026_connecting_49661,
  title = {{Connecting Independently Trained Modes via Layer-Wise Connectivity}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=4VOTzpH9MO},
}

@inproceedings{neurips2026_directional_94137,
  title = {{Directional Confusions Reveal Divergent Inductive Biases Through Rate-Distortion Geometry in Human and Machine Vision}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/152629},
}

@inproceedings{neurips2026_dd_94591,
  title = {{DD-CAM: Minimal Sufficient Explanations for Vision Models Using Delta Debugging}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/oral/151521},
}

@inproceedings{aaai2024_a_5009,
  title = {{A Convolutional Neural Network Interpretable Framework for Human Ventral Visual Pathway Representation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28461},
}

@inproceedings{icml2026_when_52156,
  title = {{When Random Saliency Looks Trained: Architectural Center Bias in CNN Interpretability}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=TDun7KtjCo},
}

@inproceedings{iclr2025_brain_80503,
  title = {{Brain-inspired \$L\_p\$-Convolution benefits large kernels and aligns better with visual cortex}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/31259},
}

@inproceedings{neurips2026_aughostmentation_89728,
  title = {{AuGhostmentation: The Eyes Never Stand Still—\$textitWhy Should CNNs?\$}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/152194},
}

@inproceedings{cvpr2026_consensus_98505,
  title = {{Consensus vs. Controversy: Mapping the Decision Space Where Architectures Diverge}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Lee_Consensus_vs._Controversy_Mapping_the_Decision_Space_Where_Architectures_Diverge_CVPR_2026_paper.html},
}