Summary of Smart: Towards Pre-trained Missing-aware Model For Patient Health Status Prediction, by Zhihao Yu et al.
SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Predictionby Zhihao Yu, Xu Chu, Yujie…
Summary of Ctrl: Continuous-time Representation Learning on Temporal Heterogeneous Information Network, by Chenglin Li and Yuanzhen Xie and Chenyun Yu and Lei Cheng and Bo Hu and Zang Li and Di Niu
CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous Information Networkby Chenglin Li, Yuanzhen Xie, Chenyun Yu,…
Summary of Binning As a Pretext Task: Improving Self-supervised Learning in Tabular Domains, by Kyungeun Lee et al.
Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domainsby Kyungeun Lee, Ye Seul…
Summary of Towards Subgraph Isomorphism Counting with Graph Kernels, by Xin Liu et al.
Towards Subgraph Isomorphism Counting with Graph Kernelsby Xin Liu, Weiqi Wang, Jiaxin Bai, Yangqiu SongFirst…
Summary of Ensemble Successor Representations For Task Generalization in Offline-to-online Reinforcement Learning, by Changhong Wang et al.
Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learningby Changhong Wang, Xudong Yu, Chenjia…
Summary of Input Snapshots Fusion For Scalable Discrete-time Dynamic Graph Neural Networks, by Qingguo Qi et al.
Input Snapshots Fusion for Scalable Discrete-Time Dynamic Graph Neural Networksby QingGuo Qi, Hongyang Chen, Minhao…
Summary of Non-stationary Domain Generalization: Theory and Algorithm, by Thai-hoang Pham et al.
Non-stationary Domain Generalization: Theory and Algorithmby Thai-Hoang Pham, Xueru Zhang, Ping ZhangFirst submitted to arxiv…
Summary of Pac-bayesian Generalization Bounds For Knowledge Graph Representation Learning, by Jaejun Lee et al.
PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learningby Jaejun Lee, Minsung Hwang, Joyce Jiyoung WhangFirst…
Summary of Learned Feature Representations Are Biased by Complexity, Learning Order, Position, and More, By Andrew Kyle Lampinen et al.
Learned feature representations are biased by complexity, learning order, position, and moreby Andrew Kyle Lampinen,…
Summary of Pre-trained Text-to-image Diffusion Models Are Versatile Representation Learners For Control, by Gunshi Gupta et al.
Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Controlby Gunshi Gupta, Karmesh Yadav, Yarin…