% Key papers for Dataset distillation and data-efficient training (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{neurips2019_pytorch_58859,
  title = {{PyTorch: An Imperative Style, High-Performance Deep Learning Library}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13877},
}

@inproceedings{cvpr2023_revisiting_22059,
  title = {{Revisiting Reverse Distillation for Anomaly Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21506},
}

@inproceedings{cvpr2022_dataset_18592,
  title = {{Dataset Distillation by Matching Training Trajectories}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2019_meta_58593,
  title = {{Meta-Learning with Implicit Gradients}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13258},
}

@inproceedings{cvpr2022_remember_19705,
  title = {{Remember Intentions: Retrospective-Memory-Based Trajectory Prediction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2021_miniseg_992,
  title = {{MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/04846-miniseg-an-extremely-minimum-network-for-efficient-covid-19-segmentation/},
}

@inproceedings{neurips2021_revisiting_62945,
  title = {{Revisiting Deep Learning Models for Tabular Data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26866},
}

@inproceedings{icml2017_learned_36246,
  title = {{Learned Optimizers that Scale and Generalize}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/780},
}

@inproceedings{iclr2019_how_28897,
  title = {{How to train your MAML}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/1106},
}

@inproceedings{aaai2022_up_2927,
  title = {{Up to 100x Faster Data-Free Knowledge Distillation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/06597-up-to-100x-faster-data-free-knowledge-distillation/},
}

@inproceedings{icml2018_learning_36796,
  title = {{Learning Memory Access Patterns}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2243},
}

@inproceedings{iclr2021_signatory_30603,
  title = {{Signatory: differentiable computations of the signature and logsignature transforms, on both CPU and GPU}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2566},
}

@inproceedings{cvpr2018_egocentric_13062,
  title = {{Egocentric Activity Recognition on a Budget}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Possas_Egocentric_Activity_Recognition_CVPR_2018_paper.html},
}

@inproceedings{cvpr2022_deecap_18604,
  title = {{DeeCap: Dynamic Early Exiting for Efficient Image Captioning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2022_matryoshka_64165,
  title = {{Matryoshka Representation Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55321},
}

@inproceedings{icml2020_radioactive_38668,
  title = {{Radioactive data: tracing through training}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6422},
}

@inproceedings{icml2022_dataset_40409,
  title = {{Dataset Condensation via Efficient Synthetic-Data Parameterization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/17927},
}

@inproceedings{neurips2022_dataset_63793,
  title = {{Dataset Distillation using Neural Feature Regression}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53822},
}

@inproceedings{aaai2020_pay_100224,
  title = {{Pay Your Trip for Traffic Congestion: Dynamic Pricing in Traffic-Aware Road Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5397},
}

@inproceedings{aaai2022_sfsrnet_2674,
  title = {{SFSRNet: Super-resolution for Single-Channel Audio Source Separation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/11220-sfsrnet-super-resolution-for-single-channel-audio-source-separation/},
}

@inproceedings{aaai2024_deepspeed_5656,
  title = {{DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29810},
}

@inproceedings{neurips2024_learning_71639,
  title = {{Learning to Handle Complex Constraints for Vehicle Routing Problems}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95638},
}

@inproceedings{aaai2024_distilling_5719,
  title = {{Distilling Autoregressive Models to Obtain High-Performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30008},
}

@inproceedings{cvpr2025_dataset_25860,
  title = {{Dataset Distillation with Neural Characteristic Function: A Minmax Perspective}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32462},
}

@inproceedings{cvpr2024_scaling_24743,
  title = {{Scaling Laws for Data Filtering-- Data Curation cannot be Compute Agnostic}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30322},
}

@inproceedings{aaai2024_learning_6488,
  title = {{Learning Temporal Resolution in Spectrogram for Audio Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29294},
}

@inproceedings{neurips2024_swift_71758,
  title = {{Swift Sampler: Efficient Learning of Sampler by 10 Parameters}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95531},
}

@inproceedings{neurips2024_diversity_74321,
  title = {{Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93239},
}

@inproceedings{icml2024_think_44331,
  title = {{Think Before You Act: Decision Transformers with Working Memory}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34121},
}

@inproceedings{cvpr2024_how_23720,
  title = {{How to Train Neural Field Representations: A Comprehensive Study and Benchmark}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30667},
}

@inproceedings{aaai2024_automatic_5238,
  title = {{Automatic Interpretation of Line Probe Assay Test for Tuberculosis}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30191},
}

@inproceedings{aaai2025_feature_9156,
  title = {{Feature Clipping for Uncertainty Calibration}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34297},
}

@inproceedings{iclr2024_towards_35548,
  title = {{Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17525},
}

@inproceedings{aaai2024_hear_6198,
  title = {{Hear You Say You: An Efficient Framework for Marine Mammal Sounds’ Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30230},
}

@inproceedings{aaai2024_optimizing_6876,
  title = {{Optimizing IT FinOps and Sustainability through Unsupervised Workload Characterization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30340},
}

@inproceedings{aaai2024_resource_7120,
  title = {{Resource Efficient Deep Learning Hardware Watermarks with Signature Alignment}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29048},
}

@inproceedings{iclr2024_multisize_34013,
  title = {{Multisize Dataset Condensation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19062},
}

@inproceedings{neurips2024_skippredict_73601,
  title = {{SkipPredict: When to Invest in Predictions for Scheduling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93885},
}

@inproceedings{neurips2025_drivaerstar_76185,
  title = {{DrivAerStar: An Industrial-Grade CFD Dataset for Vehicle Aerodynamic Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=GVB1M5K0ch},
}

@inproceedings{aaai2024_rider_7160,
  title = {{Rider Posture-Based Continuous Authentication with Few-Shot Learning for Mobility Scooters (Student Abstract)}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30509},
}