Summary of Mitigating Noisy Supervision Using Synthetic Samples with Soft Labels, by Yangdi Lu et al.
Mitigating Noisy Supervision Using Synthetic Samples with Soft Labelsby Yangdi Lu, Wenbo HeFirst submitted to…
Summary of When Invariant Representation Learning Meets Label Shift: Insufficiency and Theoretical Insights, by You-wei Luo et al.
When Invariant Representation Learning Meets Label Shift: Insufficiency and Theoretical Insightsby You-Wei Luo, Chuan-Xian RenFirst…
Summary of Improving Robustness to Corruptions with Multiplicative Weight Perturbations, by Trung Trinh et al.
Improving robustness to corruptions with multiplicative weight perturbationsby Trung Trinh, Markus Heinonen, Luigi Acerbi, Samuel…
Summary of F-fomaml: Gnn-enhanced Meta-learning For Peak Period Demand Forecasting with Proxy Data, by Zexing Xu et al.
F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Databy Zexing Xu, Linjun Zhang,…
Summary of Preference Tuning For Toxicity Mitigation Generalizes Across Languages, by Xiaochen Li et al.
Preference Tuning For Toxicity Mitigation Generalizes Across Languagesby Xiaochen Li, Zheng-Xin Yong, Stephen H. BachFirst…
Summary of Relaxing Continuous Constraints Of Equivariant Graph Neural Networks For Physical Dynamics Learning, by Zinan Zheng et al.
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learningby Zinan Zheng, Yang…
Summary of Effect Of Random Learning Rate: Theoretical Analysis Of Sgd Dynamics in Non-convex Optimization Via Stationary Distribution, by Naoki Yoshida et al.
Effect of Random Learning Rate: Theoretical Analysis of SGD Dynamics in Non-Convex Optimization via Stationary…
Summary of Synergistic Deep Graph Clustering Network, by Benyu Wu et al.
Synergistic Deep Graph Clustering Networkby Benyu Wu, Shifei Ding, Xiao Xu, Lili Guo, Ling Ding,…
Summary of Towards Exact Computation Of Inductive Bias, by Akhilan Boopathy and William Yue and Jaedong Hwang and Abhiram Iyer and Ila Fiete
Towards Exact Computation of Inductive Biasby Akhilan Boopathy, William Yue, Jaedong Hwang, Abhiram Iyer, Ila…
Summary of Importance-aware Adaptive Dataset Distillation, by Guang Li et al.
Importance-Aware Adaptive Dataset Distillationby Guang Li, Ren Togo, Takahiro Ogawa, Miki HaseyamaFirst submitted to arxiv…