Summary of Fast Adaptation with Kernel and Gradient Based Meta Leaning, by Juneyoung Park and Minjae Kang
Fast Adaptation with Kernel and Gradient based Meta Leaningby JuneYoung Park, MinJae KangFirst submitted to…
Summary of Progressive Safeguards For Safe and Model-agnostic Reinforcement Learning, by Nabil Omi et al.
Progressive Safeguards for Safe and Model-Agnostic Reinforcement Learningby Nabil Omi, Hosein Hasanbeig, Hiteshi Sharma, Sriram…
Summary of Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning, by Yiqin Lv et al.
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learningby Yiqin Lv,…
Summary of Meta-learning Adaptable Foundation Models, by Jacob L. Block et al.
Meta-Learning Adaptable Foundation Modelsby Jacob L. Block, Sundararajan Srinivasan, Liam Collins, Aryan Mokhtari, Sanjay ShakkottaiFirst…
Summary of Meta-learning For Speeding Up Large Model Inference in Decentralized Environments, by Yuzhe Yang et al.
Meta-Learning for Speeding Up Large Model Inference in Decentralized Environmentsby Yuzhe Yang, Yipeng Du, Ahmad…
Summary of Leveraging Auxiliary Task Relevance For Enhanced Bearing Fault Diagnosis Through Curriculum Meta-learning, by Jinze Wang et al.
Leveraging Auxiliary Task Relevance for Enhanced Bearing Fault Diagnosis through Curriculum Meta-learningby Jinze Wang, Jiong…
Summary of Meta-learning with Heterogeneous Tasks, by Zhaofeng Si et al.
Meta-Learning with Heterogeneous Tasksby Zhaofeng Si, Shu Hu, Kaiyi Ji, Siwei LyuFirst submitted to arxiv…
Summary of Meta Stackelberg Game: Robust Federated Learning Against Adaptive and Mixed Poisoning Attacks, by Tao Li et al.
Meta Stackelberg Game: Robust Federated Learning against Adaptive and Mixed Poisoning Attacksby Tao Li, Henger…
Summary of Ssmt: Few-shot Traffic Forecasting with Single Source Meta-transfer, by Kishor Kumar Bhaumik et al.
SSMT: Few-Shot Traffic Forecasting with Single Source Meta-Transferby Kishor Kumar Bhaumik, Minha Kim, Fahim Faisal…
Summary of Amortized Probabilistic Conditioning For Optimization, Simulation and Inference, by Paul E. Chang et al.
Amortized Probabilistic Conditioning for Optimization, Simulation and Inferenceby Paul E. Chang, Nasrulloh Loka, Daolang Huang,…