Summary of Linked Adapters: Linking Past and Future to Present For Effective Continual Learning, by Dupati Srikar Chandra et al.
Linked Adapters: Linking Past and Future to Present for Effective Continual Learningby Dupati Srikar Chandra,…
Linked Adapters: Linking Past and Future to Present for Effective Continual Learningby Dupati Srikar Chandra,…
CONCLAD: COntinuous Novel CLAss Detectorby Amanda Rios, Ibrahima Ndiour, Parual Datta, Omesh Tickoo, Nilesh AhujaFirst…
Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspectiveby Minh Le, Tien Ngoc Luu,…
Directed Structural Adaptation to Overcome Statistical Conflicts and Enable Continual Learningby Zeki Doruk Erden, Boi…
Memory-efficient Continual Learning with Neural Collapse Contrastiveby Trung-Anh Dang, Vincent Nguyen, Ngoc-Son Vu, Christel VrainFirst…
Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learningby…
DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual Learningby Haiyang Guo, Fei Zhu, Fanhu Zeng, Bing…
Federated Continual Graph Learningby Yinlin Zhu, Xunkai Li, Miao Hu, Di WuFirst submitted to arxiv…
Continual Deep Reinforcement Learning with Task-Agnostic Policy Distillationby Muhammad Burhan Hafez, Kerim ErekmenFirst submitted to…
Soft-TransFormers for Continual Learningby Haeyong Kang, Chang D. YooFirst submitted to arxiv on: 25 Nov…