Some of the Awesome CL works that use Mammoth

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• Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method (**ICML 2024**)

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• AGILE - Mitigating Interference in Incremental Learning through Attention-Guided Rehearsal (**CoLLAs 2024**)

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• Interactive Continual Learning (ICL) (**CVPR 2024**)

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• Prediction Error-based Classification for Class-Incremental Learning (**ICLR 2024**)

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• TriRE: A Multi-Mechanism Learning Paradigm for Continual Knowledge Retention and Promotion (**NeurIPS 2023**)

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• Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation (**NeurIPS 2023**)

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• A Unified and General Framework for Continual Learning (**ICLR 2024**)

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• Decoupling Learning and Remembering: a Bilevel Memory Framework with Knowledge Projection for Task-Incremental Learning (**CVPR 2023**)

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• Regularizing Second-Order Influences for Continual Learning (**CVPR 2023**)

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• Sparse Coding in a Dual Memory System for Lifelong Learning (**CVPR 2023**)

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• A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm (**CVPR 2023**)

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• A Multi-Head Model for Continual Learning via Out-of-Distribution Replay (**CVPR 2023**)

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• Preserving Linear Separability in Continual Learning by Backward Feature Projection (**CVPR 2023**)

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• Complementary Calibration: Boosting General Continual Learning With Collaborative Distillation and Self-Supervision (**TIP 2023**)

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• Continual Learning by Modeling Intra-Class Variation (**TMLR 2023**)

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• ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis (**ICCV 2023**)

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• CBA: Improving Online Continual Learning via Continual Bias Adaptor (**ICCV 2023**)

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• Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal (**ICML 2023**)

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• Learnability and Algorithm for Continual Learning (**ICML 2023**)

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• Pretrained Language Model in Continual Learning: a Comparative Study (**ICLR 2022**)

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• Representational continuity for unsupervised continual learning (**ICLR 2022**)

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• Continual Normalization: Rethinking Batch Normalization for Online Continual Learning (**ICLR 2022**)

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• Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System (**ICLR 2022**)

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• New Insights on Reducing Abrupt Representation Change in Online Continual Learning (**ICLR 2022**)

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• Looking Back on Learned Experiences for Class/Task Incremental Learning (**ICLR 2022**)

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• Task Agnostic Representation Consolidation: a Self-supervised based Continual Learning Approach (**CoLLAs 2022**)

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• Consistency is the key to further Mitigating Catastrophic Forgetting in Continual Learning (**CoLLAs 2022**)

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• Self-supervised models are continual learners (**CVPR 2022**)

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• Learning from Students: Online Contrastive Distillation Network for General Continual Learning (**IJCAI 2022**)

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