448 datasets found

A comprehensive dataset featuring ten distinct hen breeds, capturing unique characteristics and traits of each breed.

Memory Association Networks (MANs) that memorize and remember any data. This neural network has two memories. One consists of a queue-structured short-term memory to solve the...

The dataset used in the paper is a simulated dataset obtained from stochastic channel models, which are widely used for performance evaluations of physical layer techniques.

The dataset used in this paper consists of three tasks: Multi-Genre Natural Language Inference (MNLI), Quora Question Pairs (QQP), and Stanford Sentiment Treebank (SST-2).

Larger language models have higher accu- racy on average, but are they better on ev- ery single instance (datapoint)?

The dataset used in this study is a collection of molecular fingerprints generated by pre-trained models based on natural language processing algorithms.

The Admetlab 2.0 dataset is an integrated online platform for accurate and comprehensive predictions of admet properties.

The dataset used in the paper is the MSLR-WEB30K dataset and the Yahoo! LTR dataset, which are the largest public LTR datasets from commercial search engines.

The dataset is used to test the algorithm for minimizing a convex objective function with noisy oracle.

The dataset used in this paper is a collection of two-stage linear adaptive robust optimization (ARO) problems with binary here-and-now variables and polyhedral uncertainty sets.

Concept Bottleneck Models (CBMs) have emerged as a promising interpretable method whose final prediction is based on intermediate, human-understandable concepts rather than the...

The CEC-2017 benchmark functions dataset is used to evaluate the performance of optimization algorithms. It contains 30 functions with different characteristics, including...

The CLAM dataset is a collection of whole slide images (WSIs) with corresponding attention maps.

A Discriminative Deep Forest (DisDF) as a metric learning algorithm is proposed in the paper.

The Knowledge Extraction based on Evolutionary Learning (KEEL) repository contains 64 datasets for the experiments.

The dataset DU = (x(i), γ(i)) (i ∈ {1, 2,..., T}) where γ(i) ∈ R1 is the SINR of the ith block and the feature map of the received modulated information is denoted as x ∈ R2.

A supervised SNR classification application is under investigation as an example for MUL interference cancellation. The dataset DU = (x(i), γ(i)) (i ∈ {1, 2,..., T}) where γ(i)...

The dataset used in the paper is a stochastic compositional optimization problem, which is a type of machine learning task. The dataset is not explicitly described, but it is...

Endovascular robots have been actively developed in both academia and industry. However, progress toward autonomous catheterization is often hampered by the widespread use of...

OpenML dataset