Summary of Multitask Kernel-based Learning with Logic Constraints, by Michelangelo Diligenti et al.
Multitask Kernel-based Learning with Logic Constraintsby Michelangelo Diligenti, Marco Gori, Marco Maggini, Leonardo RigutiniFirst submitted…
Summary of One-bit Quantization and Sparsification For Multiclass Linear Classification with Strong Regularization, by Reza Ghane et al.
One-Bit Quantization and Sparsification for Multiclass Linear Classification with Strong Regularizationby Reza Ghane, Danil Akhtiamov,…
Summary of Werank: Towards Rank Degradation Prevention For Self-supervised Learning Using Weight Regularization, by Ali Saheb Pasand et al.
WERank: Towards Rank Degradation Prevention for Self-Supervised Learning Using Weight Regularizationby Ali Saheb Pasand, Reza…
Summary of Low-rank Graph Contrastive Learning For Node Classification, by Yancheng Wang et al.
Low-Rank Graph Contrastive Learning for Node Classificationby Yancheng Wang, Yingzhen YangFirst submitted to arxiv on:…
Summary of Scalable Graph Self-supervised Learning, by Ali Saheb Pasand et al.
Scalable Graph Self-Supervised Learningby Ali Saheb Pasand, Reza Moravej, Mahdi Biparva, Raika Karimi, Ali GhodsiFirst…
Summary of Switch Ema: a Free Lunch For Better Flatness and Sharpness, by Siyuan Li et al.
Switch EMA: A Free Lunch for Better Flatness and Sharpnessby Siyuan Li, Zicheng Liu, Juanxi…
Summary of Disambiguated Node Classification with Graph Neural Networks, by Tianxiang Zhao et al.
Disambiguated Node Classification with Graph Neural Networksby Tianxiang Zhao, Xiang Zhang, Suhang WangFirst submitted to…
Summary of Parallel-friendly Spatio-temporal Graph Learning For Photovoltaic Degradation Analysis at Scale, by Yangxin Fan et al.
Parallel-friendly Spatio-Temporal Graph Learning for Photovoltaic Degradation Analysis at Scaleby Yangxin Fan, Raymond Wieser, Laura…
Summary of Confronting Reward Overoptimization For Diffusion Models: a Perspective Of Inductive and Primacy Biases, by Ziyi Zhang and Sen Zhang and Yibing Zhan and Yong Luo and Yonggang Wen and Dacheng Tao
Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biasesby Ziyi Zhang,…
Summary of Selective Learning: Towards Robust Calibration with Dynamic Regularization, by Zongbo Han et al.
Selective Learning: Towards Robust Calibration with Dynamic Regularizationby Zongbo Han, Yifeng Yang, Changqing Zhang, Linjun…