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

@inproceedings{icml2017_convolutional_36117,
  title = {{Convolutional Sequence to Sequence Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/806},
}

@inproceedings{iclr2017_learning_28315,
  title = {{Learning to Remember Rare Events}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2017},
  url = {https://openreview.net/forum?id=SJTQLdqlg},
}

@inproceedings{iclr2021_hopfield_30690,
  title = {{Hopfield Networks is All You Need}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2657},
}

@inproceedings{aaai2018_skipflow_106003,
  title = {{SkipFlow: Incorporating Neural Coherence Features for End-to-End Automatic Text Scoring}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/12045},
}

@inproceedings{icml2018_dynamic_36656,
  title = {{Dynamic Evaluation of Neural Sequence Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2197},
}

@inproceedings{neurips2016_scaling_55984,
  title = {{Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7245},
}

@inproceedings{aaai2021_quantum_1217,
  title = {{Quantum-inspired Neural Network for Conversational Emotion Recognition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/13270-quantum-inspired-neural-network-for-conversational-emotion-recognition/},
}

@inproceedings{cvpr2017_bidirectional_12083,
  title = {{Bidirectional Beam Search: Forward-Backward Inference in Neural Sequence Models for Fill-In-The-Blank Image Captioning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{iclr2019_global_29229,
  title = {{Global-to-local Memory Pointer Networks for Task-Oriented Dialogue}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/690},
}

@inproceedings{neurips2019_metalearned_58599,
  title = {{Metalearned Neural Memory}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14271},
}

@inproceedings{icml2020_self_38742,
  title = {{Self-Attentive Associative Memory}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/5984},
}

@inproceedings{iclr2020_meta_29726,
  title = {{Meta-Learning Deep Energy-Based Memory Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=SyljQyBFDH},
}

@inproceedings{icml2022_universal_41315,
  title = {{Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/17307},
}

@inproceedings{cvpr2019_deep_14048,
  title = {{Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{iclr2018_the_28580,
  title = {{The Kanerva Machine: A Generative Distributed Memory}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/105},
}

@inproceedings{neurips2020_point_60588,
  title = {{Point process models for sequence detection in high-dimensional neural spike trains}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18887},
}

@inproceedings{iclr2020_memo_29808,
  title = {{MEMO: A Deep Network for Flexible Combination of Episodic Memories}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=rJxlc0EtDr},
}

@inproceedings{neurips2019_untangling_59163,
  title = {{Untangling in Invariant Speech Recognition}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14358},
}

@inproceedings{aaai2018_a_102539,
  title = {{A Continuous Relaxation of Beam Search for End-to-End Training of Neural Sequence Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11806},
}

@inproceedings{aaai2017_associative_104287,
  title = {{Associative Memory Using Dictionary Learning and Expander Decoding}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10515},
}

@inproceedings{aaai2024_neural_6760,
  title = {{Neural Bookmarks: Information Retrieval with Deep Learning and EEG Data}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30322},
}

@inproceedings{icml2024_uniform_45127,
  title = {{Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33325},
}

@inproceedings{iclr2024_a_35526,
  title = {{A Framework for Inference Inspired by Human Memory Mechanisms}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17547},
}

@inproceedings{icml2025_nonparametric_49056,
  title = {{Nonparametric Modern Hopfield Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43568},
}

@inproceedings{neurips2024_dense_70199,
  title = {{Dense Associative Memory Through the Lens of Random Features}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96886},
}

@inproceedings{icml2024_bishop_45484,
  title = {{BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32967},
}

@inproceedings{icml2026_geometric_51702,
  title = {{Geometric Entropy and Retrieval Phase Transitions in Continuous Thermal Dense Associative Memory}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=P0eayHlqb7},
}

@inproceedings{icml2026_neuromem_54153,
  title = {{Neuromem: A Granular Decomposition of the Streaming Lifecycle in External Memory for LLMs}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=mO7DgwFFVe},
}

@inproceedings{neurips2024_provably_70441,
  title = {{Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96665},
}

@inproceedings{neurips2025_dense_77962,
  title = {{Dense Associative Memory with Epanechnikov Energy}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=ZbQ5Zq3zA3},
}

@inproceedings{iclr2026_adaptive_85709,
  title = {{Adaptive Hopfield Network: Rethinking Similarities in Associative Memory}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=HKSp4U69dy},
}

@inproceedings{neurips2026_learning_91839,
  title = {{Learning Options for Compositional Motor Control with Adapter Banks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/149390},
}

@inproceedings{iclr2024_a_34163,
  title = {{A Cognitive Model for Learning Abstract Relational Structures from Memory-based Decision-Making Tasks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18912},
}

@inproceedings{icml2026_deep_50446,
  title = {{Deep sequence models tend to memorize geometrically; it is unclear why}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=CT2tSmahVQ},
}

@inproceedings{icml2026_hyperbolic_54124,
  title = {{Hyperbolic Associative Memory Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=m7SH64ZF6j},
}