Summary of Hi-gmae: Hierarchical Graph Masked Autoencoders, by Chuang Liu et al.
Hi-GMAE: Hierarchical Graph Masked Autoencodersby Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Dapeng Tao,…
Hi-GMAE: Hierarchical Graph Masked Autoencodersby Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Dapeng Tao,…
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SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Predictionby Zhihao Yu, Xu Chu, Yujie…
EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Trainingby Yulin Wang, Yang Yue, Rui Lu,…
Self-Distillation Improves DNA Sequence Inferenceby Tong Yu, Lei Cheng, Ruslan Khalitov, Erland Brandser Olsson, Zhirong…
Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domainsby Kyungeun Lee, Ye Seul…
Unified Video-Language Pre-training with Synchronized Audioby Shentong Mo, Haofan Wang, Huaxia Li, Xu TangFirst submitted…
A Supervised Information Enhanced Multi-Granularity Contrastive Learning Framework for EEG Based Emotion Recognitionby Xiang Li,…
Open Challenges and Opportunities in Federated Foundation Models Towards Biomedical Healthcareby Xingyu Li, Lu Peng,…