Summary of Preparing For Black Swans: the Antifragility Imperative For Machine Learning, by Ming Jin
Preparing for Black Swans: The Antifragility Imperative for Machine Learningby Ming JinFirst submitted to arxiv…
Summary of On-device Online Learning and Semantic Management Of Tinyml Systems, by Haoyu Ren et al.
On-device Online Learning and Semantic Management of TinyML Systemsby Haoyu Ren, Xue Li, Darko Anicic,…
Summary of Squeezing Lemons with Hammers: An Evaluation Of Automl and Tabular Deep Learning For Data-scarce Classification Applications, by Ricardo Knauer et al.
Squeezing Lemons with Hammers: An Evaluation of AutoML and Tabular Deep Learning for Data-Scarce Classification…
Summary of Data-efficient and Robust Task Selection For Meta-learning, by Donglin Zhan and James Anderson
Data-Efficient and Robust Task Selection for Meta-Learningby Donglin Zhan, James AndersonFirst submitted to arxiv on:…
Summary of Adapting to Distribution Shift by Visual Domain Prompt Generation, By Zhixiang Chi et al.
Adapting to Distribution Shift by Visual Domain Prompt Generationby Zhixiang Chi, Li Gu, Tao Zhong,…
Summary of Neural Context Flows For Meta-learning Of Dynamical Systems, by Roussel Desmond Nzoyem et al.
Neural Context Flows for Meta-Learning of Dynamical Systemsby Roussel Desmond Nzoyem, David A.W. Barton, Tom…
Summary of Free: Faster and Better Data-free Meta-learning, by Yongxian Wei et al.
FREE: Faster and Better Data-Free Meta-Learningby Yongxian Wei, Zixuan Hu, Zhenyi Wang, Li Shen, Chun…
Summary of Metarm: Shifted Distributions Alignment Via Meta-learning, by Shihan Dou et al.
MetaRM: Shifted Distributions Alignment via Meta-Learningby Shihan Dou, Yan Liu, Enyu Zhou, Tianlong Li, Haoxiang…
Summary of Towards Incremental Learning in Large Language Models: a Critical Review, by Mladjan Jovanovic and Peter Voss
Towards Incremental Learning in Large Language Models: A Critical Reviewby Mladjan Jovanovic, Peter VossFirst submitted…
Summary of Boosting Model Resilience Via Implicit Adversarial Data Augmentation, by Xiaoling Zhou et al.
Boosting Model Resilience via Implicit Adversarial Data Augmentationby Xiaoling Zhou, Wei Ye, Zhemg Lee, Rui…