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

@inproceedings{iclr2017_pruning_28310,
  title = {{Pruning Convolutional Neural Networks for Resource Efficient Inference}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2017},
  url = {https://openreview.net/forum?id=SJGCiw5gl},
}

@inproceedings{cvpr2019_importance_14308,
  title = {{Importance Estimation for Neural Network Pruning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2020_hrank_15632,
  title = {{HRank: Filter Pruning Using High-Rank Feature Map}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2018_nisp_13415,
  title = {{NISP: Pruning Networks Using Neuron Importance Score Propagation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Yu_NISP_Pruning_Networks_CVPR_2018_paper.html},
}

@inproceedings{iclr2017_pruning_28370,
  title = {{Pruning Filters for Efficient ConvNets}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2017},
  url = {https://openreview.net/forum?id=rJqFGTslg},
}

@inproceedings{cvpr2019_towards_14928,
  title = {{Towards Optimal Structured CNN Pruning via Generative Adversarial Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{iclr2019_snip_28736,
  title = {{SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/902},
}

@inproceedings{cvpr2023_depgraph_20771,
  title = {{DepGraph: Towards Any Structural Pruning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/23033},
}

@inproceedings{cvpr2019_variational_14996,
  title = {{Variational Convolutional Neural Network Pruning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{neurips2018_discrimination_57054,
  title = {{Discrimination-aware Channel Pruning for Deep Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11109},
}

@inproceedings{neurips2017_runtime_56639,
  title = {{Runtime Neural Pruning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9006},
}

@inproceedings{cvpr2020_learning_15753,
  title = {{Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{aaai2020_autocompress_102062,
  title = {{AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5924},
}

@inproceedings{aaai2020_pconv_102092,
  title = {{PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5954},
}

@inproceedings{cvpr2020_dmcp_15328,
  title = {{DMCP: Differentiable Markov Channel Pruning for Neural Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_towards_16356,
  title = {{Towards Efficient Model Compression via Learned Global Ranking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{aaai2020_pruning_103803,
  title = {{Pruning from Scratch}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6910},
}

@inproceedings{neurips2019_global_58338,
  title = {{Global Sparse Momentum SGD for Pruning Very Deep Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13751},
}

@inproceedings{cvpr2020_neural_15943,
  title = {{Neural Network Pruning With Residual-Connections and Limited-Data}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2021_network_17480,
  title = {{Network Pruning via Performance Maximization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2024_spanning_24859,
  title = {{Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29461},
}

@inproceedings{cvpr2024_bilevelpruning_22849,
  title = {{BilevelPruning: Unified Dynamic and Static Channel Pruning for Convolutional Neural Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31052},
}

@inproceedings{aaai2024_updp_7672,
  title = {{UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29296},
}

@inproceedings{cvpr2024_auto_22799,
  title = {{Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29932},
}

@inproceedings{aaai2025_numerical_10137,
  title = {{Numerical Pruning for Efficient Autoregressive Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34249},
}

@inproceedings{aaai2024_entropy_5868,
  title = {{Entropy Induced Pruning Framework for Convolutional Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28184},
}

@inproceedings{aaai2024_epsd_5782,
  title = {{EPSD: Early Pruning with Self-Distillation for Efficient Model Compression}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29004},
}

@inproceedings{cvpr2024_orthcaps_24386,
  title = {{OrthCaps: An Orthogonal CapsNet with Sparse Attention Routing and Pruning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31115},
}

@inproceedings{iclr2024_infobatch_33889,
  title = {{InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19186},
}

@inproceedings{cvpr2025_atp_25413,
  title = {{ATP: Adaptive Threshold Pruning for Efficient Data Encoding in Quantum Neural Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34593},
}

@inproceedings{aaai2025_visual_11255,
  title = {{Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32431},
}

@inproceedings{cvpr2025_flexible_26283,
  title = {{Flexible Group Count Enables Hassle-Free Structured Pruning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34494},
}

@inproceedings{cvpr2025_mdp_26848,
  title = {{MDP: Multidimensional Vision Model Pruning with Latency Constraint}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33891},
}

@inproceedings{neurips2024_deprune_71782,
  title = {{DEPrune: Depth-wise Separable Convolution Pruning for Maximizing GPU Parallelism}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95510},
}

@inproceedings{cvpr2025_icp_26563,
  title = {{ICP: Immediate Compensation Pruning for Mid-to-high Sparsity}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34988},
}

@inproceedings{neurips2024_layer_72292,
  title = {{Layer-Adaptive State Pruning for Deep State Space Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95053},
}

@inproceedings{icml2024_osscar_44722,
  title = {{OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33730},
}

@inproceedings{neurips2024_how_71475,
  title = {{How Sparse Can We Prune A Deep Network: A Fundamental Limit Perspective}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95785},
}

@inproceedings{aaai2026_unseen_107586,
  title = {{UNSEEN: Enhancing Dataset Pruning from a Generalization Perspective}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39938},
}

@inproceedings{iclr2024_towards_35422,
  title = {{Towards Meta-Pruning via Optimal Transport}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17651},
}