Summary of Automatic Combination Of Sample Selection Strategies For Few-shot Learning, by Branislav Pecher et al.
Automatic Combination of Sample Selection Strategies for Few-Shot Learningby Branislav Pecher, Ivan Srba, Maria Bielikova,…
Summary of Symbol: Generating Flexible Black-box Optimizers Through Symbolic Equation Learning, by Jiacheng Chen et al.
Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learningby Jiacheng Chen, Zeyuan Ma, Hongshu Guo,…
Summary of Rethinking the Starting Point: Collaborative Pre-training For Federated Downstream Tasks, by Yun-wei Chu et al.
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasksby Yun-Wei Chu, Dong-Jun Han, Seyyedali…
Summary of Human-like Category Learning by Injecting Ecological Priors From Large Language Models Into Neural Networks, By Akshay K. Jagadish et al.
Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networksby Akshay…
Summary of A Survey Of Few-shot Learning on Graphs: From Meta-learning to Pre-training and Prompt Learning, by Xingtong Yu et al.
A Survey of Few-Shot Learning on Graphs: from Meta-Learning to Pre-Training and Prompt Learningby Xingtong…
Summary of Cpt: Competence-progressive Training Strategy For Few-shot Node Classification, by Qilong Yan et al.
CPT: Competence-progressive Training Strategy for Few-shot Node Classificationby Qilong Yan, Yufeng Zhang, Jinghao Zhang, Jingpu…
Summary of Sample Weight Estimation Using Meta-updates For Online Continual Learning, by Hamed Hemati et al.
Sample Weight Estimation Using Meta-Updates for Online Continual Learningby Hamed Hemati, Damian BorthFirst submitted to…
Summary of Meta-learning For Neural Network-based Temporal Point Processes, by Yoshiaki Takimoto et al.
Meta-Learning for Neural Network-based Temporal Point Processesby Yoshiaki Takimoto, Yusuke Tanaka, Tomoharu Iwata, Maya Okawa,…
Summary of An Information-theoretic Analysis Of In-context Learning, by Hong Jun Jeon et al.
An Information-Theoretic Analysis of In-Context Learningby Hong Jun Jeon, Jason D. Lee, Qi Lei, Benjamin…
Summary of Learning Universal Predictors, by Jordi Grau-moya et al.
Learning Universal Predictorsby Jordi Grau-Moya, Tim Genewein, Marcus Hutter, Laurent Orseau, Grégoire Delétang, Elliot Catt,…