-
Diffusion Models and Representation Learning: A Survey
Diffusion Models are popular generative modeling methods in various vision tasks, attracting significant attention. They can be considered a unique instance of self-supervised... -
Moving MNIST dataset
The Moving MNIST dataset consists of videos of MNIST digits. -
Position Embedding Needs an Independent Layer Normalization
The dataset used in the paper is not explicitly described, but it is mentioned that the authors analyzed the input and output of each encoder layer in Vision Transformers (VTs)... -
ImageNet-Compatible and CIFAR-10 datasets
The authors used the ImageNet-Compatible and CIFAR-10 datasets for targeted attack experiments. -
Spherical-MNIST, atomic energy, Shrec17, diffusion MRI
The dataset used in this paper for classification tasks on spherical-MNIST, atomic energy, Shrec17 data sets, and group testing on diffusion MRI data. -
Convolutional Neural Networks with Approximate Multiplication
The dataset used in this paper for convolutional neural networks (CNNs) with approximate multiplication. -
Synthetic Dataset
The dataset used in this work is a custom synthetic dataset generated using the liquid-dsp library, containing 600000 examples of each of 13.8 million examples, with SNRs... -
VAEs in the Presence of Missing Data
Real world datasets often contain entries with missing elements e.g. in a medical dataset, a patient is unlikely to have taken all possible diagnostic tests. -
Compositional Diffusion-Based Continuous Constraint Solvers
The dataset for 2D triangle packing, 2D shape arrangement with qualitative constraints, 3D object stacking with stability constraints, and 3D object packing with robots. -
Various Datasets
The datasets used in the paper are described as follows: WikiMIA, BookMIA, Temporal Wiki, Temporal arXiv, ArXiv-1 month, Multi-Webdata, LAION-MI, Gutenberg. -
Compute trends across three eras of machine learning
A dataset of 650 machine learning models presented in academic publications and relevant gray literature. -
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. -
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.
