Summary of Multi-epoch Learning with Data Augmentation For Deep Click-through Rate Prediction, by Zhongxiang Fan et al.
Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Predictionby Zhongxiang Fan, Zhaocheng Liu, Jian…
Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Predictionby Zhongxiang Fan, Zhaocheng Liu, Jian…
The impact of model size on catastrophic forgetting in Online Continual Learningby Eunhae LeeFirst submitted…
Personalized Federated Continual Learning via Multi-granularity Promptby Hao Yu, Xin Yang, Xin Gao, Yan Kang,…
Attack On Prompt: Backdoor Attack in Prompt-Based Continual Learningby Trang Nguyen, Anh Tran, Nhat HoFirst…
Learn it or Leave it: Module Composition and Pruning for Continual Learningby Mingyang Wang, Heike…
Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classificationby Muhammad Anwar Ma'sum, Mahardhika Pratama,…
Forget but Recall: Incremental Latent Rectification in Continual Learningby Nghia D. Nguyen, Hieu Trung Nguyen,…
Unlocking Continual Learning Abilities in Language Modelsby Wenyu Du, Shuang Cheng, Tongxu Luo, Zihan Qiu,…
Theory on Mixture-of-Experts in Continual Learningby Hongbo Li, Sen Lin, Lingjie Duan, Yingbin Liang, Ness…
EVCL: Elastic Variational Continual Learning with Weight Consolidationby Hunar Batra, Ronald ClarkFirst submitted to arxiv…