Summary of Distribution-aware Online Continual Learning For Urban Spatio-temporal Forecasting, by Chengxin Wang et al.
Distribution-aware Online Continual Learning for Urban Spatio-Temporal Forecastingby Chengxin Wang, Gary Tan, Swagato Barman Roy,…
Summary of Code-cl: Conceptor-based Gradient Projection For Deep Continual Learning, by Marco Paul E. Apolinario et al.
CODE-CL: Conceptor-Based Gradient Projection for Deep Continual Learningby Marco Paul E. Apolinario, Sakshi Choudhary, Kaushik…
Summary of Revised Regularization For Efficient Continual Learning Through Correlation-based Parameter Update in Bayesian Neural Networks, by Sanchar Palit et al.
Revised Regularization for Efficient Continual Learning through Correlation-Based Parameter Update in Bayesian Neural Networksby Sanchar…
Summary of Dealing with Synthetic Data Contamination in Online Continual Learning, by Maorong Wang et al.
Dealing with Synthetic Data Contamination in Online Continual Learningby Maorong Wang, Nicolas Michel, Jiafeng Mao,…
Summary of Federated Continual Learning For Edge-ai: a Comprehensive Survey, by Zi Wang et al.
Federated Continual Learning for Edge-AI: A Comprehensive Surveyby Zi Wang, Fei Wu, Feng Yu, Yurui…
Summary of Reviving Dormant Memories: Investigating Catastrophic Forgetting in Language Models Through Rationale-guidance Difficulty, by Huashan Sun and Yang Gao
Reviving Dormant Memories: Investigating Catastrophic Forgetting in Language Models through Rationale-Guidance Difficultyby Huashan Sun, Yang…
Summary of Efficient and Robust Continual Graph Learning For Graph Classification in Biology, by Ding Zhang et al.
Efficient and Robust Continual Graph Learning for Graph Classification in Biologyby Ding Zhang, Jane Downer,…
Summary of Continual Task Learning Through Adaptive Policy Self-composition, by Shengchao Hu et al.
Continual Task Learning through Adaptive Policy Self-Compositionby Shengchao Hu, Yuhang Zhou, Ziqing Fan, Jifeng Hu,…
Summary of Continual Adversarial Reinforcement Learning (carl) Of False Data Injection Detection: Forgetting and Explainability, by Pooja Aslami et al.
Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainabilityby Pooja Aslami,…
Summary of A Unifying Framework For Generalised Bayesian Online Learning in Non-stationary Environments, by Gerardo Duran-martin et al.
A unifying framework for generalised Bayesian online learning in non-stationary environmentsby Gerardo Duran-Martin, Leandro Sánchez-Betancourt,…