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Titanic dataset
The Titanic dataset contains information about passengers of the Titanic ship, including demographic and survival data. -
Bank Marketing dataset
The Bank Marketing dataset is a commonly used dataset in the fairness literature, containing information about individuals' demographic and economic characteristics. -
Adult Census dataset
The Adult Census dataset contains information about individuals from the 1994 U.S. census, including age, sex, and income. -
Convolutional Neural Networks with Approximate Multiplication
The dataset used in this paper for convolutional neural networks (CNNs) with approximate multiplication. -
German dataset
The dataset used in this paper is the German dataset, which is a real-world UCI Machine Learning dataset extracted from a German bank for default prediction. -
Adult dataset
A commonly observed pattern in machine learning models is an underprediction of the target feature, with the model’s predicted target rate for members of a given category... -
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... -
Human-in-the-Loop Interpretability Prior
The dataset used in the paper is a collection of datasets, including synthetic, mushroom, census, and covertype datasets. -
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. -
Scientific Machine Learning through Physics-Informed Neural Networks: Where we...
Physics-Informed Neural Networks (PINNs) are a scientific machine learning technique used to solve problems involving Partial Differential Equations (PDEs). -
Training Dataset
The training dataset is a collection of the publicly available Arabic corpora listed below: The unshuffled OSCAR corpus (Ortiz Su´arez et al., 2020). The Arabic Wikipedia dump... -
Test dataset
A dataset of 200 samples with 1283 resolution, generated using VGrain software with a regularity of 0.73 and uniform random orientation -
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. -
OpenAI Gym
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used several continuous control environments from the OpenAI Gym. -
Orca: Progressive Learning from Complex Explanation Traces
The Orca approach involves leveraging explanation tuning to generate detailed responses from a large language model. -
Evol-Instruct: A Pipeline for Automatically Evolving Instruction Datasets
The Evol-Instruct pipeline involves automatically evolving instruction datasets using large language models. -
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. -
Wine Quality Dataset
The dataset used for testing the performance of the proposed LightGCNet-I and LightGCNet-II algorithms on the wine quality dataset.
