Summary of Electrocardiogram-language Model For Few-shot Question Answering with Meta Learning, by Jialu Tang et al.
Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learningby Jialu Tang, Tong Xia, Yuan Lu,…
Summary of Ornstein-uhlenbeck Adaptation As a Mechanism For Learning in Brains and Machines, by Jesus Garcia Fernandez et al.
Ornstein-Uhlenbeck Adaptation as a Mechanism for Learning in Brains and Machinesby Jesus Garcia Fernandez, Nasir…
Summary of Generalization Bounds Via Meta-learned Model Representations: Pac-bayes and Sample Compression Hypernetworks, by Benjamin Leblanc et al.
Generalization Bounds via Meta-Learned Model Representations: PAC-Bayes and Sample Compression Hypernetworksby Benjamin Leblanc, Mathieu Bazinet,…
Summary of A Stochastic Approach to Bi-level Optimization For Hyperparameter Optimization and Meta Learning, by Minyoung Kim et al.
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learningby Minyoung Kim, Timothy…
Summary of Learning Via Surrogate Pac-bayes, by Antoine Picard-weibel and Roman Moscoviz and Benjamin Guedj
Learning via Surrogate PAC-Bayesby Antoine Picard-Weibel, Roman Moscoviz, Benjamin GuedjFirst submitted to arxiv on: 14…
Summary of Context-aware Adapter Tuning For Few-shot Relation Learning in Knowledge Graphs, by Ran Liu et al.
Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphsby Ran Liu, Zhongzhou Liu, Xiaoli…
Summary of Meta-transfer Learning Empowered Temporal Graph Networks For Cross-city Real Estate Appraisal, by Weijia Zhang et al.
Meta-Transfer Learning Empowered Temporal Graph Networks for Cross-City Real Estate Appraisalby Weijia Zhang, Jindong Han,…
Summary of Metalic: Meta-learning In-context with Protein Language Models, by Jacob Beck et al.
Metalic: Meta-Learning In-Context with Protein Language Modelsby Jacob Beck, Shikha Surana, Manus McAuliffe, Oliver Bent,…
Summary of Boosting Hierarchical Reinforcement Learning with Meta-learning For Complex Task Adaptation, by Arash Khajooeinejad et al.
Boosting Hierarchical Reinforcement Learning with Meta-Learning for Complex Task Adaptationby Arash Khajooeinejad, Fatemeh Sadat Masoumi,…
Summary of Conml: a Universal Meta-learning Framework with Task-level Contrastive Learning, by Shiguang Wu et al.
ConML: A Universal Meta-Learning Framework with Task-Level Contrastive Learningby Shiguang Wu, Yaqing Wang, Yatao Bian,…