Summary of Coefficient Decomposition For Spectral Graph Convolution, by Feng Huang et al.
Coefficient Decomposition for Spectral Graph Convolutionby Feng Huang, Wen ZhangFirst submitted to arxiv on: 6…
Summary of Federated Learning For Drowsiness Detection in Connected Vehicles, by William Lindskog et al.
Federated Learning for Drowsiness Detection in Connected Vehiclesby William Lindskog, Valentin Spannagl, Christian PrehoferFirst submitted…
Summary of Deep Learning-based Point Cloud Registration For Augmented Reality-guided Surgery, by Maximilian Weber et al.
Deep Learning-based Point Cloud Registration for Augmented Reality-guided Surgeryby Maximilian Weber, Daniel Wild, Jens Kleesiek,…
Summary of Provably Unlearnable Data Examples, by Derui Wang et al.
Provably Unlearnable Data Examplesby Derui Wang, Minhui Xue, Bo Li, Seyit Camtepe, Liming ZhuFirst submitted…
Summary of Denoising Of Geodetic Time Series Using Spatiotemporal Graph Neural Networks: Application to Slow Slip Event Extraction, by Giuseppe Costantino et al.
Denoising of Geodetic Time Series Using Spatiotemporal Graph Neural Networks: Application to Slow Slip Event…
Summary of Policy Learning For Balancing Short-term and Long-term Rewards, by Peng Wu et al.
Policy Learning for Balancing Short-Term and Long-Term Rewardsby Peng Wu, Ziyu Shen, Feng Xie, Zhongyao…
Summary of Clustering Of Disease Trajectories with Explainable Machine Learning: a Case Study on Postoperative Delirium Phenotypes, by Xiaochen Zheng et al.
Clustering of Disease Trajectories with Explainable Machine Learning: A Case Study on Postoperative Delirium Phenotypesby…
Summary of Enhancing Q-learning with Large Language Model Heuristics, by Xiefeng Wu
Enhancing Q-Learning with Large Language Model Heuristicsby Xiefeng WuFirst submitted to arxiv on: 6 May…
Summary of A Generalization Theory Of Cross-modality Distillation with Contrastive Learning, by Hangyu Lin et al.
A Generalization Theory of Cross-Modality Distillation with Contrastive Learningby Hangyu Lin, Chen Liu, Chengming Xu,…
Summary of Doubly Robust Causal Effect Estimation Under Networked Interference Via Targeted Learning, by Weilin Chen et al.
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learningby Weilin Chen, Ruichu Cai,…