Summary of Symmetries in Overparametrized Neural Networks: a Mean-field View, by Javier Maass and Joaquin Fontbona
Symmetries in Overparametrized Neural Networks: A Mean-Field Viewby Javier Maass, Joaquin FontbonaFirst submitted to arxiv…
Summary of Improving Smote Via Fusing Conditional Vae For Data-adaptive Noise Filtering, by Sungchul Hong et al.
Improving SMOTE via Fusing Conditional VAE for Data-adaptive Noise Filteringby Sungchul Hong, Seunghwan An, Jong-June…
Summary of Entprop: High Entropy Propagation For Improving Accuracy and Robustness, by Shohei Enomoto
EntProp: High Entropy Propagation for Improving Accuracy and Robustnessby Shohei EnomotoFirst submitted to arxiv on:…
Summary of Rc-mixup: a Data Augmentation Strategy Against Noisy Data For Regression Tasks, by Seong-hyeon Hwang et al.
RC-Mixup: A Data Augmentation Strategy against Noisy Data for Regression Tasksby Seong-Hyeon Hwang, Minsu Kim,…
Summary of Pursuing Feature Separation Based on Neural Collapse For Out-of-distribution Detection, by Yingwen Wu et al.
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detectionby Yingwen Wu, Ruiji Yu, Xinwen…
Summary of A Recipe For Unbounded Data Augmentation in Visual Reinforcement Learning, by Abdulaziz Almuzairee et al.
A Recipe for Unbounded Data Augmentation in Visual Reinforcement Learningby Abdulaziz Almuzairee, Nicklas Hansen, Henrik…
Summary of Gta: Generative Trajectory Augmentation with Guidance For Offline Reinforcement Learning, by Jaewoo Lee et al.
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learningby Jaewoo Lee, Sujin Yun, Taeyoung…
Summary of Acceleration Of Grokking in Learning Arithmetic Operations Via Kolmogorov-arnold Representation, by Yeachan Park et al.
Acceleration of Grokking in Learning Arithmetic Operations via Kolmogorov-Arnold Representationby Yeachan Park, Minseok Kim, Yeoneung…
Summary of Dominant Shuffle: a Simple Yet Powerful Data Augmentation For Time-series Prediction, by Kai Zhao et al.
Dominant Shuffle: A Simple Yet Powerful Data Augmentation for Time-series Predictionby Kai Zhao, Zuojie He,…
Summary of Usd: Unsupervised Soft Contrastive Learning For Fault Detection in Multivariate Time Series, by Hong Liu et al.
USD: Unsupervised Soft Contrastive Learning for Fault Detection in Multivariate Time Seriesby Hong Liu, Xiuxiu…