Summary of Robust Offline Active Learning on Graphs, by Yuanchen Wu and Yubai Yuan
Robust Offline Active Learning on Graphsby Yuanchen Wu, Yubai YuanFirst submitted to arxiv on: 15…
Summary of Meta Sac-lag: Towards Deployable Safe Reinforcement Learning Via Metagradient-based Hyperparameter Tuning, by Homayoun Honari et al.
Meta SAC-Lag: Towards Deployable Safe Reinforcement Learning via MetaGradient-based Hyperparameter Tuningby Homayoun Honari, Amir Mehdi…
Summary of Addressing Skewed Heterogeneity Via Federated Prototype Rectification with Personalization, by Shunxin Guo et al.
Addressing Skewed Heterogeneity via Federated Prototype Rectification with Personalizationby Shunxin Guo, Hongsong Wang, Shuxia Lin,…
Summary of Latent Anomaly Detection Through Density Matrices, by Joseph Gallego-mejia et al.
Latent Anomaly Detection Through Density Matricesby Joseph Gallego-Mejia, Oscar Bustos-Brinez, Fabio A. GonzálezFirst submitted to…
Summary of Battery Graphnets : Relational Learning For Lithium-ion Batteries(libs) Life Estimation, by Sakhinana Sagar Srinivas et al.
Battery GraphNets : Relational Learning for Lithium-ion Batteries(LiBs) Life Estimationby Sakhinana Sagar Srinivas, Rajat Kumar…
Summary of Graph Triple Attention Network: a Decoupled Perspective, by Xiaotang Wang et al.
Graph Triple Attention Network: A Decoupled Perspectiveby Xiaotang Wang, Yun Zhu, Haizhou Shi, Yongchao Liu,…
Summary of Model Merging in Llms, Mllms, and Beyond: Methods, Theories, Applications and Opportunities, by Enneng Yang et al.
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunitiesby Enneng Yang, Li…
Summary of Off-policy Reinforcement Learning with High Dimensional Reward, by Dong Neuck Lee and Michael R. Kosorok
Off-Policy Reinforcement Learning with High Dimensional Rewardby Dong Neuck Lee, Michael R. KosorokFirst submitted to…
Summary of A Spitting Image: Modular Superpixel Tokenization in Vision Transformers, by Marius Aasan et al.
A Spitting Image: Modular Superpixel Tokenization in Vision Transformersby Marius Aasan, Odd Kolbjørnsen, Anne Schistad…
Summary of Deep Learning: a Heuristic Three-stage Mechanism For Grid Searches to Optimize the Future Risk Prediction Of Breast Cancer Metastasis Using Ehr-based Clinical Data, by Xia Jiang et al.
Deep Learning: a Heuristic Three-stage Mechanism for Grid Searches to Optimize the Future Risk Prediction…