% Key papers for Invertible and wide-network analysis (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{icml2019_making_37528,
  title = {{Making Convolutional Networks Shift-Invariant Again}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4179},
}

@inproceedings{cvpr2023_learned_21336,
  title = {{Learned Image Compression With Mixed Transformer-CNN Architectures}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21773},
}

@inproceedings{neurips2019_on_58707,
  title = {{On Exact Computation with an Infinitely Wide Neural Net}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14561},
}

@inproceedings{neurips2021_early_61986,
  title = {{Early Convolutions Help Transformers See Better}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26486},
}

@inproceedings{aaai2025_efficientvmamba_8925,
  title = {{EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32690},
}

@inproceedings{neurips2019_channel_57989,
  title = {{Channel Gating Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13394},
}

@inproceedings{iclr2018_mixed_28479,
  title = {{Mixed Precision Training of Convolutional Neural Networks using Integer Operations}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/52},
}

@inproceedings{cvpr2020_fast_15531,
  title = {{Fast Sparse ConvNets}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{aaai2022_feature_2098,
  title = {{Feature Distillation Interaction Weighting Network for Lightweight Image Super-resolution}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/00661-feature-distillation-interaction-weighting-network-for-lightweight-image-super-resolution/},
}

@inproceedings{cvpr2020_multi_15909,
  title = {{Multi-Dimensional Pruning: A Unified Framework for Model Compression}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2019_fully_14226,
  title = {{Fully Learnable Group Convolution for Acceleration of Deep Neural Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2018_a_12790,
  title = {{A Deeper Look at Power Normalizations}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Koniusz_A_Deeper_Look_CVPR_2018_paper.html},
}

@inproceedings{aaai2022_danets_1909,
  title = {{DANets: Deep Abstract Networks for Tabular Data Classification and Regression}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/03930-danets-deep-abstract-networks-for-tabular-data-classification-and-regression/},
}

@inproceedings{neurips2019_deep_58109,
  title = {{Deep Signature Transforms}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13491},
}

@inproceedings{icml2016_multi_35911,
  title = {{Multi-Bias Non-linear Activation in Deep Neural Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/lia16.html},
}

@inproceedings{cvpr2018_beyond_12865,
  title = {{Beyond Trade-Off: Accelerate FCN-Based Face Detector With Higher Accuracy}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Song_Beyond_Trade-Off_Accelerate_CVPR_2018_paper.html},
}

@inproceedings{cvpr2020_butterfly_15217,
  title = {{Butterfly Transform: An Efficient FFT Based Neural Architecture Design}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{aaai2022_two_2895,
  title = {{Two-Stage Octave Residual Network for End-to-End Image Compression}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/03922-two-stage-octave-residual-network-for-end-to-end-image-compression/},
}

@inproceedings{cvpr2021_generative_17073,
  title = {{Generative Classifiers as a Basis for Trustworthy Image Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{aaai2020_dwm_101976,
  title = {{DWM: A Decomposable Winograd Method for Convolution Acceleration}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5838},
}

@inproceedings{aaai2024_convolutional_5506,
  title = {{Convolutional Channel-Wise Competitive Learning for the Forward-Forward Algorithm}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29369},
}

@inproceedings{neurips2024_convolutional_70457,
  title = {{Convolutional Differentiable Logic Gate Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96650},
}

@inproceedings{aaai2024_dtf_5579,
  title = {{DTF-AT: Decoupled Time-Frequency Audio Transformer for Event Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29716},
}

@inproceedings{aaai2025_freenet_9234,
  title = {{FreeNet: Liberating Depth-Wise Separable Operations for Building Faster Mobile Vision Architectures}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33041},
}

@inproceedings{cvpr2024_adashift_22717,
  title = {{AdaShift: Learning Discriminative Self-Gated Neural Feature Activation With an Adaptive Shift Factor}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29194},
}

@inproceedings{neurips2024_dex_73259,
  title = {{DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94180},
}

@inproceedings{icml2024_layermerge_45616,
  title = {{LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32836},
}

@inproceedings{icml2026_flowers_52178,
  title = {{Flowers: A Warp Drive for Neural PDE Solvers}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=TPpUKH8fuQ},
}

@inproceedings{iclr2026_lookup_87081,
  title = {{Lookup multivariate Kolmogorov-Arnold Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=XRQVIeBnB0},
}

@inproceedings{iclr2026_gmnet_87636,
  title = {{GmNet: Revisiting Gating Mechanisms From A Frequency View}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=dkfEwHobXq},
}

@inproceedings{iclr2025_deeperforward_83221,
  title = {{DeeperForward: Enhanced Forward-Forward Training for Deeper and Better Performance}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28588},
}