Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions by Xu, Wujiang, Wu, Qitian, Wang, Runzhong, Ha, Mingming, Ma, Qiongxu, Chen, Linxun, Han, Bing, Yan, Junchi

Get full text

Understanding impact of life experiences on performance and learning behavior in an Introductory Computer Science MOOC by Eain, Yun Shwe

“…In regards to a student’s non-academic life experiences, students with over 50 hours of experience in open-world strategy games tend to perform better in overall grades and problem sets. …”
Get full text

Transmedia storytelling : business, aesthetics and production at the Jim Henson Company by Long, Geoffrey A

Get full text
Get full text

Var-CNN: A Data-Efficient Website Fingerprinting Attack Based on Deep Learning by Bhat, Sanjit, Lu, David, Kwon, Albert Hyukjae, Devadas, Srinivas

“…In this work, we propose Var-CNN, a website fingerprinting attack that leverages deep learning techniques along with novel insights specific to packet sequence classification. In open-world settings with large amounts of data, Var-CNN attains over 1% higher true positive rate (TPR) than state-of-the-art attacks while achieving 4× lower false positive rate (FPR). …”
Get full text

Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution by Ramakrishnan, Ramya, Kamar, Ece, Nushi, Besmira, Dey, Debadeepta, Shah, Julie A, Horvitz, Eric

“…The formulation assumes that agent blind spots result from representational limitations in the simulation world, which leads the agent to ignore important features that are relevant for acting in the open world. Our approach for blind spot discovery combines experiences collected in simulation with limited human demonstrations. …”
Get full text

Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models by Shen, Xu, Wang, Yili, Zhou, Kaixiong, Pan, Shirui, Wang, Xin

Get full text