A Theory for Knowledge Transfer in Continual Learning

14 August 2022

Papers citing "A Theory for Knowledge Transfer in Continual Learning"

9 / 9 papers shown

Title
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning Yupei Li M. Milling Björn Schuller AI4CE 102 0 0 27 Mar 2025
Societal Alignment Frameworks Can Improve LLM Alignment Karolina Stañczak Nicholas Meade Mehar Bhatia Hattie Zhou Konstantin Böttinger ... Timothy P. Lillicrap Ana Marasović Sylvie Delacroix Gillian K. Hadfield Siva Reddy 113 0 0 27 Feb 2025
Sequence Transferability and Task Order Selection in Continual Learning T. Nguyen Cuong N. Nguyen Quang-Cuong Pham B. T. Nguyen Savitha Ramasamy Xiaoli Li Cuong V Nguyen 73 0 0 10 Feb 2025
The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation Martin Mundt Anaelia Ovalle Felix Friedrich A Pranav Subarnaduti Paul Manuel Brack Kristian Kersting William Agnew 251 0 0 05 Feb 2025
Data-dependent and Oracle Bounds on Forgetting in Continual Learning Lior Friedman Ron Meir 70 0 0 13 Jun 2024
Bridging Neuroscience and AI: Environmental Enrichment as a Model for Forward Knowledge Transfer Rajat Saxena Bruce L. McNaughton CLL 51 2 0 12 May 2024
Continual Learning on Graphs: A Survey Zonggui Tian Duanhao Zhang Hong-Ning Dai 37 5 0 09 Feb 2024
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning Zixuan Ke Bing-Quan Liu Nianzu Ma Hu Xu Lei Shu CLL 181 122 0 05 Dec 2021
Regularization-based Continual Learning for Anomaly Detection in Discrete Manufacturing Benjamin Maschler T. Pham M. Weyrich 35 31 0 02 Jan 2021