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Noisy MNIST
The MNIST environment does not elicit any actions from an agent. Instead, the prediction network simply needs to learn one step mappings between pairs of MNIST handwritten digits. -
MNIST data set
The MNIST data set is a dataset used for testing the performance of the DisDF. -
MultiMNIST
MultiMNIST dataset, a multi-task learning version of the MNIST dataset. -
3s vs 7s MNIST problem
The 3s vs 7s MNIST problem is a classic dataset in machine learning. It consists of 28x28 grayscale images of handwritten digits, with 3s and 7s in the images. -
AutoML-3, OnlineNewsPop, MNIST-0, MNIST-4, and Zillow
The dataset used in the paper is AutoML-3, OnlineNewsPop, MNIST-0, MNIST-4, and Zillow. -
NITI: INTEGER TRAINING
The dataset used in this paper is MNIST, CIFAR10, and ImageNet. -
MNIST and ResNet50
The MNIST and ResNet50 datasets are used to test the onnx-mlir compiler. -
MNIST handwritten data set
MNIST handwritten data set used for training and testing the proposed method, containing 60,000 examples for training and 10,000 samples for testing. -
Low-Latency CryptoNets (LoLa) for Private Inference
The CalTech-101 dataset is used to evaluate the performance of the proposed Low-Latency CryptoNets (LoLa) solution for private inference. -
MNIST and celebA
MNIST and celebA datasets were used to train and evaluate the proposed QDCGAN architecture. -
A Deep Hashing Learning Network
The proposed method uses two benchmark datasets with different kinds of images, MNIST and CIFAR-10. -
MNIST and ImageNet datasets
The MNIST dataset is a large dataset of handwritten digits, and the ImageNet dataset is a large dataset of images. -
Support Vector Machine on MNIST
Support Vector Machine on MNIST -
MNIST, FMNIST, and CIFAR10 datasets
The MNIST, FMNIST, and CIFAR10 datasets are used to evaluate the proposed methods of spiking-MaxPooling. -
MNIST-parity experiment
The MNIST-parity experiment uses the MNIST dataset to test the performance of a ReLU network and various linear models on the parity of a single MNIST image and the parity of... -
MNIST dataset for handwritten digits
The MNIST dataset is a collection of images of handwritten digits, with size n = 70,000 and D = 784. -
Parallelizing Autoregressive Generation with Variational State Space Models
The MNIST and CIFAR datasets are used to evaluate the proposed Variational State Space Model (VSSM) for autoregressive generation.
