Summary of Taegan: Generating Synthetic Tabular Data For Data Augmentation, by Jiayu Li et al.
TAEGAN: Generating Synthetic Tabular Data For Data Augmentationby Jiayu Li, Zilong Zhao, Kevin Yee, Uzair…
TAEGAN: Generating Synthetic Tabular Data For Data Augmentationby Jiayu Li, Zilong Zhao, Kevin Yee, Uzair…
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One-step Noisy Label Mitigationby Hao Li, Jiayang Gu, Jingkuan Song, An Zhang, Lianli GaoFirst submitted…
Score-based pullback Riemannian geometryby Willem Diepeveen, Georgios Batzolis, Zakhar Shumaylov, Carola-Bibiane SchönliebFirst submitted to arxiv…
ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularizationby Viet Bui, Thanh Hong…
Discrete Copula Diffusionby Anji Liu, Oliver Broadrick, Mathias Niepert, Guy Van den BroeckFirst submitted to…
Which Algorithms Have Tight Generalization Bounds?by Michael Gastpar, Ido Nachum, Jonathan Shafer, Thomas WeinbergerFirst submitted…
Scale-Invariant Learning-to-Rankby Alessio Petrozziello, Christian Sommeregger, Ye-Sheen LimFirst submitted to arxiv on: 2 Oct 2024CategoriesMain:…
Deep Learning Alternatives of the Kolmogorov Superposition Theoremby Leonardo Ferreira Guilhoto, Paris PerdikarisFirst submitted to…