<?xml version="1.0" encoding="UTF-8"?><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>adam-a-method-for-stochastic-optimization-2021-006</dc:title><dc:creator>Diederik P. Kingma, Jimmy Ba</dc:creator><dc:date>2021</dc:date><dc:description>This record links to the Adam optimization paper, which presents an adaptive learning-rate method widely used in deep learning. It is a compact but realistic technical PDF for testing keyword relevance, citation generation, and external document access.</dc:description><dc:identifier>https://inrepscholar.com/projects/945</dc:identifier></oai_dc:dc>