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Found 5 papers, 1 papers with code
Efficient Representation of the Activation Space in Deep Neural Networks
The representations of the activation space of deep neural networks (DNNs) are widely utilized for tasks like natural language processing, anomaly detection and speech recognition.
Model-Free Reinforcement Learning for Asset Allocation
From our analysis, RL agents can perform the task of portfolio management since they significantly outperformed two of the baseline agents (random allocation and uniform allocation).
Leak Detection in Natural Gas Pipeline Using Machine Learning Models
This project applies the observer design technique to detect leaks in natural gas pipelines using a regressoclassification hierarchical model where an intelligent model acts as a regressor and a modified logistic regression model acts as a classifier.
Extreme Multi-Domain, Multi-Task Learning With Unified Text-to-Text Transfer Transformers
However, while there have been several attempts to train transformers on different domains, there is usually a clear relationship between these domains, e. g.,, code summarization, where the natural language summary describes the code.
Detection of Malicious Websites Using Machine Learning Techniques
In this study, we explored the use of ten machine learning models to classify malicious websites based on lexical features and understand how they generalize across datasets.
