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

@inproceedings{neurips2020_object_60447,
  title = {{Object-Centric Learning with Slot Attention}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18553},
}

@inproceedings{cvpr2022_slot_19894,
  title = {{Slot-VPS: Object-Centric Representation Learning for Video Panoptic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2024_spot_24726,
  title = {{SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31027},
}

@inproceedings{cvpr2024_adaptive_22729,
  title = {{Adaptive Slot Attention: Object Discovery with Dynamic Slot Number}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30424},
}

@inproceedings{iclr2023_improving_32784,
  title = {{Improving Object-centric Learning with Query Optimization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11686},
}

@inproceedings{icml2023_invariant_42525,
  title = {{Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/23824},
}

@inproceedings{neurips2023_rotating_68973,
  title = {{Rotating Features for Object Discovery}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/70894},
}

@inproceedings{neurips2025_metaslot_75825,
  title = {{MetaSlot: Break Through the Fixed Number of Slots in Object-Centric Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=CJ00kttEjh},
}

@inproceedings{icml2023_unlocking_41894,
  title = {{Unlocking Slot Attention by Changing Optimal Transport Costs}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24697},
}

@inproceedings{neurips2023_reusable_67306,
  title = {{Reusable Slotwise Mechanisms}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72417},
}

@inproceedings{neurips2023_contrastive_69392,
  title = {{Contrastive Training of Complex-Valued Autoencoders for Object Discovery}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/70517},
}

@inproceedings{neurips2025_does_75183,
  title = {{Does Object Binding Naturally Emerge in Large Pretrained Vision Transformers?}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=5BS6gBb4yP},
}

@inproceedings{iclr2023_neural_32766,
  title = {{Neural Systematic Binder}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/10777},
}

@inproceedings{iclr2024_object_34700,
  title = {{Object-Centric Learning with Slot Mixture Module}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18374},
}

@inproceedings{iclr2024_cycle_34874,
  title = {{Cycle Consistency Driven Object Discovery}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18200},
}

@inproceedings{iclr2024_grounded_35285,
  title = {{Grounded Object-Centric Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17788},
}

@inproceedings{icml2023_slot_41729,
  title = {{Slot-VAE: Object-Centric Scene Generation with Slot Attention}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/23484},
}

@inproceedings{neurips2024_identifiable_74051,
  title = {{Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93475},
}

@inproceedings{iclr2026_from_87432,
  title = {{From Vicious to Virtuous Cycles: Synergistic Representation Learning for Unsupervised Video Object-Centric Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=bWoT6Z21rH},
}

@inproceedings{cvpr2026_mufasa_97119,
  title = {{MUFASA: A Multi-Layer Framework for Slot Attention}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Bock_MUFASA_A_Multi-Layer_Framework_for_Slot_Attention_CVPR_2026_paper.html},
}