Understanding Adam Optimizer via Online Learning of Updates: Adam is FTRL in Disguise
This paper offers a different understanding of the Adam optimizer, a popular choice in deep neural network…
This paper offers a different understanding of the Adam optimizer, a popular choice in deep neural network…
This academic article explores the potential of electric vehicles (EVs) in managing the primary frequency control of…
The paper proposes L2G2G, a Local2Global method to enhance the accuracy of Graph Autoencoders (GAEs) without compromising…
This academic article discusses the development of a Stochastic Two-Point (S2P) approach for zeroth-order optimization in deep…
The article discusses the challenges of applying Bayesian optimisation when the hyperparameters of the Gaussian process model…
This article addresses the challenges in computational morphology and lexicography modeling of Modern Standard Arabic (MSA) nominals….
This paper addresses the issue of societal bias in Large Language Models (LLMs), specifically Llama 2 7B…
The paper provides an adversarial evaluation of AI-generated content (AIGC) detectors’ effectiveness in identifying AI-written student essays….
The paper discusses the importance of augmenting large language models (LLMs) with user-specific knowledge for real-world applications…
The article presents the Patent Office Action Response Intelligence System (PARIS) and its advanced version, the Large…