IEEE

UDNet: A Unified Deep Learning-Based AutoML Framework to Execute Multiple ML Strategies for Multi-Modal Unstructured Data Processing

Abstract: The rise of multi-modal unstructured data has intensified the need for advanced processing solutions capable of deriving meaningful insights efficiently. UDNet emerges as a concurrent ML ...
GitHub

Mq-b/Modern-Cpp-templates-tutorial

本仓库用来存放 B 站课程 《现代 C++ 模板教程 2024》的教案、代码，和作业。 任何组织和个人遵守 CC BY-NC-ND 4.0 ...
IEEE

Continual Learning for Object Classification: Integrating AutoML for Binary Classification Tasks Within a Modular Dynamic Architecture

Abstract: For humans it is quite easy to identify a new object after learning to identify existing ones, but not for a machine. Deep neural networks (DNN) are the foundation of the current ...
GitHub

Learning Synthetic Environments and Reward Networks for Reinforcement Learning

We explore meta-learning agent-agnostic neural Synthetic Environments (SEs) and Reward Networks (RNs) for efficiently training Reinforcement Learning (RL) agents. While an SE acts as a full proxy to a ...