About VLAR

The focus of VLAR workshop series is to bring together researchers in multimodal reasoning and cognitive models of intelligence, towards positioning the current research progress in AI within the overarching goal of achieving machine intelligence. An important focus of the VLAR workshop series is to bring to the forefront problems in perception, language modeling, and cognition that are often overlooked in state-of-the-art research and that are important for making true progress in AI. One specific problem that motivated the VLAR workshop series is the question of how well current deep models learn broad yet simple skills and how well do they generalize their learned models to solve problems that are not part of their learning set; such skills even children learn and use effortlessly. We attempt to look into this aspect of intelligence in the CVPR 2023 paper titled: Are Deep Neural Networks SMARTer than Second Graders? In the VLAR workshop series, we plan to bring together outstanding faculty/researchers working at the intersections of vision, language, and cognition to provide their opinions on the recent breakthroughs, as well as showcase their cutting edge research on the above topics that could inspire the audience to search for the missing pieces in our quest for artificial intelligence.