Marcus Edel

Results 110 issues of Marcus Edel

## Keyword: sgd ### Bias-Variance Trade-off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs - **Authors:** Authors: Zheyuan Hu, Zhouhao Yang, Yezhen Wang, George Em Karniadakis, Kenji Kawaguchi...

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## Keyword: sgd ### A Theoretical Insight into Attack and Defense of Gradient Leakage in Transformer - **Authors:** Authors: Chenyang Li, Zhao Song, Weixin Wang, Chiwun Yang - **Subjects:** Machine...

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## Keyword: sgd ### Meticulously Selecting 1% of the Dataset for Pre-training! Generating Differentially Private Images Data with Semantics Query - **Authors:** Authors: Kecen Li, Chen Gong, Zhixiang Li, Yuzhong...

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## Keyword: sgd ### Meticulously Selecting 1% of the Dataset for Pre-training! Generating Differentially Private Images Data with Semantics Query - **Authors:** Authors: Kecen Li, Chen Gong, Zhixiang Li, Yuzhong...

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## Keyword: sgd There is no result ## Keyword: optimization ### Efficient Domain Adaptation via Generative Prior for 3D Infant Pose Estimation - **Authors:** Authors: Zhuoran Zhou, Zhongyu Jiang, Wenhao...

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## Keyword: sgd ### Can we infer the presence of Differential Privacy in Deep Learning models' weights? Towards more secure Deep Learning - **Authors:** Authors: Jiménez-López, Daniel, Rodríguez-Barroso, Nuria, Luzón,...

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## Keyword: sgd ### Prompt Pool based Class-Incremental Continual Learning for Dialog State Tracking - **Authors:** Authors: Hong Liu, Yucheng Cai, Yuan Zhou, Zhijian Ou, Yi Huang, Junlan Feng -...

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## Keyword: sgd There is no result ## Keyword: optimization ### Neural Packing: from Visual Sensing to Reinforcement Learning - **Authors:** Authors: Juzhan Xu, Minglun Gong, Hao Zhang, Hui Huang,...

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## Keyword: sgd ### Using Stochastic Gradient Descent to Smooth Nonconvex Functions: Analysis of Implicit Graduated Optimization with Optimal Noise Scheduling - **Authors:** Authors: Naoki Sato, Hideaki Iiduka - **Subjects:**...

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## Keyword: sgd ### Sparsity-Preserving Differentially Private Training of Large Embedding Models - **Authors:** Authors: Badih Ghazi, Yangsibo Huang, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Amer Sinha, Chiyuan Zhang -...

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