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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... -
Ten standard datasets
The authors used ten standard datasets, including Abalone, Car, Chess, Glass, Ionosphere, Iris, Liver, Redwine, Seeds, and Divorce. -
XOR dataset
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a toy example (XOR problem) and ten standard datasets. -
Not specified
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a combination of datasets from the scikit-learn library and the UCI machine... -
Federated Learning for Internet of Things
The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of intelligent services and applications empowered by artificial intelligence... -
NNSynth: Neural Network Guided Abstraction-Based Controller Synthesis for Sto...
NNSynth: Neural Network Guided Abstraction-Based Controller Synthesis for Stochastic Systems -
OpenAlex dataset
The dataset of publications affiliated with the top 25 companies by affiliations with the top-100,000 most cited AI and ML works, and notable ML systems. -
TRN System Dataset
The dataset used for the experiments in this paper, which includes terrain relative navigation (TRN) system data. -
GNC Algorithm Dataset
The dataset used for the experiments in this paper, which includes guidance, navigation, and control (GNC) algorithm data. -
SAIBench: A Structural Interpretation of AI for Science Through Benchmarks
The dataset used for benchmarking machine learning force fields (MLFF) and jet tagging. -
Size and Width of the Decoder of a Boolean Threshold Autoencoder
The dataset is used to study the size and width of autoencoders consisting of Boolean threshold functions. -
MNIST and CIFAR-10 datasets
The MNIST and CIFAR-10 datasets are used to test the theory suggesting the existence of many saddle points in high-dimensional functions. -
Retrieving Labels for Noisy Input Patterns
Retrieving labels for noisy input patterns. -
Self-Organization to Exponential Capacity
Self-organization to exponential capacity. -
Robust Exponential Memory in Hopfield Networks
Robust exponential memory in Hopfield networks. -
Associative Content-Addressable Memory with Exponentially Many Robust Stable ...
Associative content-addressable memory with exponentially many robust stable states and robust error correction. -
Human-level control through deep reinforcement learning
The dataset contains data from human-level control through deep reinforcement learning. -
Abstraction and Reasoning Corpus (ARC)
A collection of heterogeneous visual reasoning data sets and an interesting benchmark for two reasons: First, visual reasoning programs tend to be large (in current program... -
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.
