% Key papers for Backprop-free credit assignment (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{neurips2016_direct_55683, title = {{Direct Feedback Alignment Provides Learning in Deep Neural Networks}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2016}, url = {https://nips.cc/virtual/2016/poster/7100}, } @inproceedings{cvpr2017_feedback_12271, title = {{Feedback Networks}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2017}, } @inproceedings{neurips2018_assessing_56876, title = {{Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2018}, url = {https://nips.cc/virtual/2018/poster/11892}, } @inproceedings{cvpr2016_bottom_11419, title = {{Bottom-Up and Top-Down Reasoning With Hierarchical Rectified Gaussians}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2016}, } @inproceedings{aaai2016_how_105107, title = {{How Important Is Weight Symmetry in Backpropagation?}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2016}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/10279}, } @inproceedings{neurips2019_deep_58100, title = {{Deep Learning without Weight Transport}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2019}, url = {https://nips.cc/virtual/2019/poster/13325}, } @inproceedings{neurips2020_can_59511, title = {{Can the Brain Do Backpropagation? --- Exact Implementation of Backpropagation in Predictive Coding Networks}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2020}, url = {https://nips.cc/virtual/2020/poster/17194}, } @inproceedings{iclr2019_biologically_29093, title = {{Biologically-Plausible Learning Algorithms Can Scale to Large Datasets}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2019}, url = {https://iclr.cc/virtual/2019/poster/662}, } @inproceedings{neurips2020_a_59278, title = {{A Theoretical Framework for Target Propagation}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2020}, url = {https://nips.cc/virtual/2020/poster/17648}, } @inproceedings{icml2020_two_38890, title = {{Two Routes to Scalable Credit Assignment without Weight Symmetry}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2020}, url = {https://icml.cc/virtual/2020/poster/6706}, } @inproceedings{neurips2022_single_66205, title = {{Single-phase deep learning in cortico-cortical networks}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2022}, url = {https://nips.cc/virtual/2022/poster/53932}, } @inproceedings{aaai2022_reverse_2650, title = {{Reverse Differentiation via Predictive Coding}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2022}, url = {https://aaai.org/papers/08150-reverse-differentiation-via-predictive-coding/}, } @inproceedings{iclr2023_hebbian_32142, title = {{Hebbian Deep Learning Without Feedback}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2023}, url = {https://iclr.cc/virtual/2023/poster/11073}, } @inproceedings{neurips2020_kernelized_60127, title = {{Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2020}, url = {https://nips.cc/virtual/2020/poster/17771}, } @inproceedings{neurips2020_attention_59398, title = {{Attention-Gated Brain Propagation: How the brain can implement reward-based error backpropagation}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2020}, url = {https://nips.cc/virtual/2020/poster/17024}, } @inproceedings{neurips2021_credit_62206, title = {{Credit Assignment in Neural Networks through Deep Feedback Control}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2021}, url = {https://nips.cc/virtual/2021/poster/27615}, } @inproceedings{aaai2023_backpropagation_3161, title = {{Backpropagation-Free Deep Learning with Recursive Local Representation Alignment}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2023}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/26118}, } @inproceedings{iclr2023_scaling_32399, title = {{Scaling Forward Gradient With Local Losses}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2023}, url = {https://iclr.cc/virtual/2023/poster/11318}, } @inproceedings{icml2021_align_39041, title = {{Align, then memorise: the dynamics of learning with feedback alignment}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2021}, url = {https://icml.cc/virtual/2021/poster/8673}, } @inproceedings{iclr2020_spike_29804, title = {{Spike-based causal inference for weight alignment}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2020}, url = {https://openreview.net/forum?id=rJxWxxSYvB}, } @inproceedings{aaai2024_understanding_7686, title = {{Understanding and Improving Optimization in Predictive Coding Networks}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28954}, } @inproceedings{aaai2024_efficient_5815, title = {{Efficient Target Propagation by Deriving Analytical Solution}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28977}, } @inproceedings{neurips2024_feedback_74502, title = {{Feedback control guides credit assignment in recurrent neural networks}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/93074}, } @inproceedings{neurips2025_mu_79089, title = {{\$mu\$PC: Scaling Predictive Coding to 100+ Layer Networks}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=lSLSzYuyfX}, } @inproceedings{icml2025_dendritic_46784, title = {{Dendritic Localized Learning: Toward Biologically Plausible Algorithm}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/45791}, } @inproceedings{icml2026_on_50224, title = {{On the Infinite Width and Depth Limits of Predictive Coding Networks}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=ADUGteohC7}, } @inproceedings{neurips2024_counter_71655, title = {{Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/95624}, } @inproceedings{neurips2026_one_91131, title = {{One-Time Soft Alignment Enables Resilient Learning without Weight Transport}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2026}, url = {https://neurips.cc/virtual/2026/poster/154791}, } @inproceedings{neurips2026_overcoming_91834, title = {{Overcoming Rank Collapse in Feedback Alignment}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2026}, url = {https://neurips.cc/virtual/2026/poster/152172}, } @inproceedings{iclr2024_dictionary_34054, title = {{Dictionary Contrastive Learning for Efficient Local Supervision without Auxiliary Networks}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/19021}, } @inproceedings{iclr2026_biologically_86170, title = {{Biologically Plausible Learning via Bidirectional Spike-Based Distillation}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2026}, url = {https://openreview.net/forum?id=MmWZ2xVJ7z}, } @inproceedings{iclr2026_scaling_88231, title = {{Scaling Direct Feedback Learning with Theoretical Guarantees}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2026}, url = {https://openreview.net/forum?id=kasbbmwk3s}, } @inproceedings{neurips2026_loop_92819, title = {{Loop alignment: Self-organized Weight Transpose in Predictive Coding through Independent Hebbian Plasticity.}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2026}, url = {https://neurips.cc/virtual/2026/poster/148287}, }