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GalliformeSpectra: A Hen Breed Dataset
A comprehensive dataset featuring ten distinct hen breeds, capturing unique characteristics and traits of each breed. -
Memory Association Networks
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... -
Simulated dataset for HARQ feedback prediction
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. -
MNLI, QQP, and SST-2
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). -
Are Larger Pretrained Language Models Uniformly Better? Comparing Performance...
Larger language models have higher accu- racy on average, but are they better on ev- ery single instance (datapoint)? -
Transformer-based embeddings
The dataset used in this study is a collection of molecular fingerprints generated by pre-trained models based on natural language processing algorithms. -
Admetlab 2.0
The Admetlab 2.0 dataset is an integrated online platform for accurate and comprehensive predictions of admet properties. -
LARGE-SCALE STOCHASTIC OPTIMIZATION OF NDCG SURROGATES FOR DEEP LEARNING WITH...
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. -
Convex Optimization with Unbounded Nonconvex Oracles using Simulated Annealing
The dataset is used to test the algorithm for minimizing a convex objective function with noisy oracle. -
Two-stage Linear Adaptive Robust Optimization
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. -
Stochastic Concept Bottleneck Models
Concept Bottleneck Models (CBMs) have emerged as a promising interpretable method whose final prediction is based on intermediate, human-understandable concepts rather than the... -
CEC-2017 Benchmark Functions
The CEC-2017 benchmark functions dataset is used to evaluate the performance of optimization algorithms. It contains 30 functions with different characteristics, including... -
Discriminative Deep Forest (DisDF)
A Discriminative Deep Forest (DisDF) as a metric learning algorithm is proposed in the paper. -
KEEL repository
The Knowledge Extraction based on Evolutionary Learning (KEEL) repository contains 64 datasets for the experiments. -
Signal Interfered IQ dataset (SIIQ)
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)... -
Stability and Generalization of Stochastic Compositional Gradient Descent Alg...
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... -
Autonomous Catheterization with Open-Source Simulator and Expert Trajectory
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
OpenML dataset
