Summary of Semidfl: a Semi-supervised Paradigm For Decentralized Federated Learning, by Xinyang Liu et al.
SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learningby Xinyang Liu, Pengchao Han, Xuan Li, Bo…
SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learningby Xinyang Liu, Pengchao Han, Xuan Li, Bo…
Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Datasetby Yoontae Hwang, Yongjae LeeFirst submitted…
Individual Bus Trip Chain Prediction and Pattern Identification Considering Similaritiesby Xiannan Huang, Yixin Chen, Quan…
Semi-Supervised Risk Control via Prediction-Powered Inferenceby Bat-Sheva Einbinder, Liran Ringel, Yaniv RomanoFirst submitted to arxiv…
Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Modelby Yujun Li, Hongyuan Zhang, Yuan YuanFirst…
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learningby Haorong Han, Jidong Yuan, Chixuan Wei, Zhongyang YuFirst…
GROOT-2: Weakly Supervised Multi-Modal Instruction Following Agentsby Shaofei Cai, Bowei Zhang, Zihao Wang, Haowei Lin,…
AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classificationby Weigang Lu, Ziyu Guan, Wei Zhao, Yaming…
Semi-Supervised Transfer Boosting (SS-TrBoosting)by Lingfei Deng, Changming Zhao, Zhenbang Du, Kun Xia, Dongrui WuFirst submitted…
Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendenceby Qianren Mao, Weifeng…