WebApr 1, 2024 · DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective. DeepSpeed delivers extreme-scale model training for everyone, from data scientists training on massive supercomputers to those training on low-end clusters or even on a single GPU: Extreme scale: Using current generation of GPU ... WebJan 24, 2024 · Ce Zhang, Young-Keun Kim, Azim Eskandarian Classification of EEG-based motor imagery (MI) is a crucial non-invasive application in brain-computer interface (BCI) research. This paper proposes a novel convolutional neural network (CNN) architecture for accurate and robust EEG-based MI classification that outperforms the state-of-the-art …
Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale
WebJun 22, 2015 · Christopher De Sa, Ce Zhang, Kunle Olukotun, Christopher Ré Stochastic gradient descent (SGD) is a ubiquitous algorithm for a variety of machine learning problems. Researchers and industry have developed several techniques to optimize SGD's runtime performance, including asynchronous execution and reduced precision. WebOct 17, 2024 · Most of today's distributed machine learning systems assume {\\em reliable networks}: whenever two machines exchange information (e.g., gradients or models), the network should guarantee the delivery of the message. At the same time, recent work exhibits the impressive tolerance of machine learning algorithms to errors or noise … linas montlhéry foot
Taming the Wild: A Unified Analysis of Hogwild!-Style Algorithms
WebProf. Dr. Ce Zhang. Institut für Computing Platforms. STF K 513. Stampfenbachstrasse 114. 8092 Zürich. Switzerland. Work phone +41 44 632 75 29; phone +41 44 632 68 79 … WebData Augmentation as Weak Supervision. Data augmentation is the increasingly critical practice of expanding small labeled training sets by creating transformed copies of data points in ways that preserve their class labels. Effectively, this is a simple, model-agnostic way for users to inject their knowledge of domain- and task-specific invariances, and my … WebMay 31, 2024 · Certifying Some Distributional Fairness with Subpopulation Decomposition. Mintong Kang, Linyi Li, Maurice Weber, Yang Liu, Ce Zhang, Bo Li. Extensive efforts have been made to understand and improve the fairness of machine learning models based on observational metrics, especially in high-stakes domains such as medical insurance, … lina sport youtube