% Key papers for Unified and unsupervised continual frameworks (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{icml2018_progress_36936, title = {{Progress \& Compress: A scalable framework for continual learning}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2018}, url = {https://icml.cc/virtual/2018/poster/2131}, } @inproceedings{neurips2019_compacting_58009, title = {{Compacting, Picking and Growing for Unforgetting Continual Learning}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2019}, url = {https://nips.cc/virtual/2019/poster/14300}, } @inproceedings{cvpr2022_self_19829, title = {{Self-Supervised Models Are Continual Learners}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{neurips2019_uncertainty_59131, title = {{Uncertainty-based Continual Learning with Adaptive Regularization}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2019}, url = {https://nips.cc/virtual/2019/poster/13594}, } @inproceedings{iclr2020_a_29657, title = {{A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2020}, url = {https://openreview.net/forum?id=SJxSOJStPr}, } @inproceedings{iclr2020_functional_29529, title = {{Functional Regularisation for Continual Learning with Gaussian Processes}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2020}, url = {https://openreview.net/forum?id=HkxCzeHFDB}, } @inproceedings{neurips2019_continual_58037, title = {{Continual Unsupervised Representation Learning}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2019}, url = {https://nips.cc/virtual/2019/poster/13845}, } @inproceedings{aaai2021_curriculum_345, title = {{Curriculum-Meta Learning for Order-Robust Continual Relation Extraction}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/10363-curriculum-meta-learning-for-order-robust-continual-relation-extraction/}, } @inproceedings{neurips2019_random_58872, title = {{Random Path Selection for Continual Learning}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2019}, url = {https://nips.cc/virtual/2019/poster/14218}, } @inproceedings{cvpr2022_continual_18511, title = {{Continual Learning With Lifelong Vision Transformer}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{aaai2021_continual_314, title = {{Continual Learning for Named Entity Recognition}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/13570-continual-learning-for-named-entity-recognition/}, } @inproceedings{iclr2020_continual_29520, title = {{Continual Learning with Adaptive Weights (CLAW)}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2020}, url = {https://openreview.net/forum?id=Hklso24Kwr}, } @inproceedings{cvpr2023_computationally_20621, title = {{Computationally Budgeted Continual Learning: What Does Matter?}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/22046}, } @inproceedings{cvpr2023_vqacl_22503, title = {{VQACL: A Novel Visual Question Answering Continual Learning Setting}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/21918}, } @inproceedings{aaai2020_generative_102144, title = {{Generative Continual Concept Learning}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/6006}, } @inproceedings{neurips2020_meta_60301, title = {{Meta-Consolidation for Continual Learning}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2020}, url = {https://nips.cc/virtual/2020/poster/17620}, } @inproceedings{aaai2023_symbolic_4757, title = {{Symbolic Replay: Scene Graph as Prompt for Continual Learning on VQA Task}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2023}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/25208}, } @inproceedings{neurips2020_continual_59585, title = {{Continual Learning in Low-rank Orthogonal Subspaces}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2020}, url = {https://nips.cc/virtual/2020/poster/18583}, } @inproceedings{iclr2021_cpr_30135, title = {{CPR: Classifier-Projection Regularization for Continual Learning}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2021}, url = {https://iclr.cc/virtual/2021/poster/3353}, } @inproceedings{aaai2023_self_4648, title = {{Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2023}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/25586}, } @inproceedings{aaai2024_continual_5489, title = {{Continual Relation Extraction via Sequential Multi-Task Learning}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/29805}, } @inproceedings{aaai2024_contrastive_5497, title = {{Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/29259}, } @inproceedings{aaai2024_dynamic_5771, title = {{Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/29079}, } @inproceedings{aaai2025_malcl_9898, title = {{MalCL: Leveraging GAN-Based Generative Replay to Combat Catastrophic Forgetting in Malware Classification}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/32047}, } @inproceedings{aaai2025_tinysubnets_11009, title = {{TinySubNets: An Efficient and Low Capacity Continual Learning Strategy}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/34193}, } @inproceedings{cvpr2024_rcl_24560, title = {{RCL: Reliable Continual Learning for Unified Failure Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/31592}, } @inproceedings{cvpr2025_handling_26489, title = {{Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/33565}, } @inproceedings{aaai2024_task_7505, title = {{Task-Free Dynamic Sparse Vision Transformer for Continual Learning}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/29581}, } @inproceedings{cvpr2025_advancing_25452, title = {{Advancing Multiple Instance Learning with Continual Learning for Whole Slide Imaging}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/32665}, } @inproceedings{cvpr2025_kac_26675, title = {{KAC: Kolmogorov-Arnold Classifier for Continual Learning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/34404}, } @inproceedings{iclr2024_a_33848, title = {{A Unified and General Framework for Continual Learning}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/19227}, } @inproceedings{iclr2024_federated_35204, title = {{Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/17869}, } @inproceedings{icml2025_fedssi_46350, title = {{FedSSI: Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/46211}, } @inproceedings{neurips2025_resource_75225, title = {{Resource-Constrained Federated Continual Learning: What Does Matter?}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=5aIVAGHCa5}, } @inproceedings{neurips2025_exploiting_77549, title = {{Exploiting Task Relationships in Continual Learning via Transferability-Aware Task Embeddings}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=V8FnYzDX35}, } @inproceedings{iclr2025_meta_81947, title = {{Meta-Continual Learning of Neural Fields}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2025}, url = {https://iclr.cc/virtual/2025/poster/29837}, } @inproceedings{iclr2024_a_34255, title = {{A Probabilistic Framework for Modular Continual Learning}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/18820}, } @inproceedings{iclr2024_accurate_34481, title = {{Accurate Forgetting for Heterogeneous Federated Continual Learning}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/18593}, } @inproceedings{iclr2024_continual_34634, title = {{Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/18440}, } @inproceedings{icml2024_provable_44526, title = {{Provable Contrastive Continual Learning}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/33926}, }