Summary of Improved Regret Of Linear Ensemble Sampling, by Harin Lee et al.
Improved Regret of Linear Ensemble Samplingby Harin Lee, Min-hwan OhFirst submitted to arxiv on: 6…
Summary of Towards Personalized Federated Learning Via Comprehensive Knowledge Distillation, by Pengju Wang and Bochao Liu and Weijia Guo and Yong Li and Shiming Ge
Towards Personalized Federated Learning via Comprehensive Knowledge Distillationby Pengju Wang, Bochao Liu, Weijia Guo, Yong…
Summary of Enhancing the Expressivity Of Temporal Graph Networks Through Source-target Identification, by Benedict Aaron Tjandra et al.
Enhancing the Expressivity of Temporal Graph Networks through Source-Target Identificationby Benedict Aaron Tjandra, Federico Barbero,…
Summary of Open-source High-speed Flight Surrogate Modeling Framework, by Tyler E. Korenyi-both et al.
Open-Source High-Speed Flight Surrogate Modeling Frameworkby Tyler E. Korenyi-Both, Nathan J. Falkiewicz, Matthew C. JonesFirst…
Summary of Beyond Model Adaptation at Test Time: a Survey, by Zehao Xiao et al.
Beyond Model Adaptation at Test Time: A Surveyby Zehao Xiao, Cees G. M. SnoekFirst submitted…
Summary of Propneat — Efficient Gpu-compatible Backpropagation Over Neuroevolutionary Augmenting Topology Networks, by Michael Merry et al.
PropNEAT – Efficient GPU-Compatible Backpropagation over NeuroEvolutionary Augmenting Topology Networksby Michael Merry, Patricia Riddle, Jim…
Summary of Human-in-the-loop Feature Selection Using Interpretable Kolmogorov-arnold Network-based Double Deep Q-network, by Md Abrar Jahin et al.
Human-in-the-Loop Feature Selection Using Interpretable Kolmogorov-Arnold Network-based Double Deep Q-Networkby Md Abrar Jahin, M. F.…
Summary of Reducing Hyperparameter Tuning Costs in Ml, Vision and Language Model Training Pipelines Via Memoization-awareness, by Abdelmajid Essofi et al.
Reducing Hyperparameter Tuning Costs in ML, Vision and Language Model Training Pipelines via Memoization-Awarenessby Abdelmajid…
Summary of Adaptive Consensus Gradients Aggregation For Scaled Distributed Training, by Yoni Choukroun et al.
Adaptive Consensus Gradients Aggregation for Scaled Distributed Trainingby Yoni Choukroun, Shlomi Azoulay, Pavel KisilevFirst submitted…
Summary of Self-calibrated Tuning Of Vision-language Models For Out-of-distribution Detection, by Geng Yu et al.
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detectionby Geng Yu, Jianing Zhu, Jiangchao Yao, Bo…