TY - JOUR AU - Kravchenko, Anna AU - Cusack, Rhodri PY - 2021/05/18 Y2 - 2024/03/28 TI - Is Active Learning Always Beneficial? (Student Abstract) JF - Proceedings of the AAAI Conference on Artificial Intelligence JA - AAAI VL - 35 IS - 18 SE - AAAI Student Abstract and Poster Program DO - 10.1609/aaai.v35i18.17906 UR - https://ojs.aaai.org/index.php/AAAI/article/view/17906 SP - 15819-15820 AB - This study highlights the limitations of automated curriculum learning, which may not be a viable strategy for tasks in which the benefits of the chosen curriculum are not apparent until much later. Using a simple convolutional network and a two-task training regime, we show that in some cases a network is not able to derive an optimal learning strategy using only the data available during a single training run. ER -