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A Thermal Machine Learning Solver For Chip Simulation
Thermal analysis provides deeper insights into electronic chips' behavior under different temperature scenarios and enables faster design exploration. However, obtaining... -
Rosenbrock function
The dataset used in the paper is not explicitly mentioned, but it is mentioned that the authors used Rosenbrock function for optimization. -
SimpleQuestion dataset for Wikidata
The dataset used in this paper is a reinforcement learning dataset, specifically the SimpleQuestion dataset, which contains questions answerable using Wikidata as the knowledge... -
CIFAR-10, CIFAR-100, and ImageNet
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used CIFAR-10, CIFAR-100, and ImageNet datasets. -
MNIST Dataset
The MNIST dataset (Lecun et al., 1998), which consists of 60,000 gray-scale images of handwritten digits. Each image has an accompanying label in {0, 1,..., 9}, and is stored as... -
Optimal Binary Autoencoder with Pairwise Correlations
The dataset used in this paper is a binary autoencoder dataset, where the goal is to learn a binary autoencoder that can reconstruct the input data with the worst-case optimal... -
CIFAR-100, MNIST, ImageNet, MIT67, SUN397, Places205
The dataset used in this paper for object recognition on CIFAR-100, MNIST, and ImageNet, and scene recognition on MIT67, SUN397, and Places205. -
Optimal batch size control for stochastic gradient descent
The dataset used in this paper is a continuous-time stochastic control problem for SGD and similar stochastic gradient descent algorithms.
