581 datasets found

The dataset used in the paper is a stateful performative setting, where the data distribution reacts to the deployed model. The goal is to learn a model that both induces a...

The dataset used in the paper is a synthetic dataset for supervised learning under algorithmic triage.

The Determinantal Point Process (DPP) is a probabilistic model of mimicking particles with repulsive interactions in theoretical quantum physics.

Active learning aims to achieve greater accuracy with less training data by selecting the most useful data samples from which it learns.

The health–disease phase diagram (HDPD) represents individual health status at each time point by visualizing the boundary values of multiple biomarkers that fluctuate early in...

The authors propose a system for efficiently and privately serving embeddings for on-device ML applications.

EUROCROPSML is an analysis-ready remote sensing machine learning dataset for time series crop type classification of agricultural parcels in Europe.

The dataset used in the paper is a high-dimensional dataset for supervised learning, with a focus on shallow neural networks and overparametrization.

A4: Actionable Adversarial Attack to evade AdGraph, a state-of-the-art learning-based adblocker.

The dataset used in the paper is the SUSY dataset for logistic regression.

The dataset used in the paper is the COV1 dataset for hinge loss minimization.

The dataset used in the paper is a synthetic dataset for ridge regression problem over a network of agents, modeled as a Erdos-Renyi graph with m = 30 nodes and edge probability...

Binary classification on real-world data sets, modified to control for unbalanced ratios of positive and negative labels.

A dataset of sampled robot configurations and associated ground-truth labels required for training the VAE and the performance predictors.

The dataset contains time series data for over 300,000 batteries, including different chemistries, cell capacities, and manufacturers.

Real-world operating data from battery systems in the field may be used to detect end-of-life failure before it happens, improving maintenance, value, safety and customer...

A financial report dataset

A named entity recognition dataset

A three-dimensional retinal image denoising task using GraphLab

Discriminative calibration for Bayesian computation, applicable to MCMC, variational and simulation based inference, or even their ensembles.