Summary of Few-shot Multi-task Learning Of Linear Invariant Features with Meta Subspace Pursuit, by Chaozhi Zhang et al.
Few-shot Multi-Task Learning of Linear Invariant Features with Meta Subspace Pursuitby Chaozhi Zhang, Lin Liu,…
Summary of Lemon: Learning to Learn Multi-operator Networks, by Jingmin Sun et al.
LeMON: Learning to Learn Multi-Operator Networksby Jingmin Sun, Zecheng Zhang, Hayden SchaefferFirst submitted to arxiv…
Summary of A Practitioner’s Guide to Continual Multimodal Pretraining, by Karsten Roth et al.
A Practitioner’s Guide to Continual Multimodal Pretrainingby Karsten Roth, Vishaal Udandarao, Sebastian Dziadzio, Ameya Prabhu,…
Summary of Dynamics Of Meta-learning Representation in the Teacher-student Scenario, by Hui Wang et al.
Dynamics of Meta-learning Representation in the Teacher-student Scenarioby Hui Wang, Cho Tung Yip, Bo LiFirst…
Summary of The Evolution Of Reinforcement Learning in Quantitative Finance: a Survey, by Nikolaos Pippas et al.
The Evolution of Reinforcement Learning in Quantitative Finance: A Surveyby Nikolaos Pippas, Cagatay Turkay, Elliot…
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,…