Closed-Loop GAN for continual Learning. - Amanda Rios; Laurent Itti (CoRR, 2018)

Closed-Loop Memory GAN for Continual Learning. - Amanda Rios; Laurent Itti (IJCAI, 2019)

Lifelong Learning Without a Task Oracle. - Amanda Rios; Laurent Itti (ICTAI, 2020)

ShapeY: Measuring Shape Recognition Capacity Using Nearest Neighbor Matching. - Jong Woo Nam; Amanda Sofie Rios; Bartlett W. Mel (CoRR, 2021)

incDFM: Incremental Deep Feature Modeling for Continual Novelty Detection. - Amanda Rios; Nilesh A. Ahuja; Ibrahima J. Ndiour; Ergin Utku Genc; Laurent Itti; Omesh Tickoo (ECCV (25), 2022)

What can we learn from misclassified ImageNet images? - Shixian Wen; Amanda Sofie Rios; Kiran Lekkala; Laurent Itti (CoRR, 2022)

Ferroelectric FET based Context-Switching FPGA Enabling Dynamic Reconfiguration for Adaptive Deep Learning Machines. - Yixin Xu 001; Zijian Zhao 001; Yi Xiao 008; Tongguang Yu; Halid Mulaosmanovic; Dominik Kleimaier; Stefan Dünkel; Sven Beyer; Xiao Gong; Rajiv V. Joshi; X. Sharon Hu; Shixian Wen; et al. (CoRR, 2022)

Beneficial Perturbation Network for Designing General Adaptive Artificial Intelligence Systems. - Shixian Wen; Amanda Rios; Yunhao Ge; Laurent Itti (IEEE Trans. Neural Networks Learn. Syst., 2022)

Lightweight Learner for Shared Knowledge Lifelong Learning. - Yunhao Ge; Yuecheng Li; Di Wu; Ao Xu; Adam M. Jones; Amanda Sofie Rios; Iordanis Fostiropoulos; Shixian Wen; Po-Hsuan Huang; Zachary William Murdock; Gozde Sahin; Shuo Ni; et al. (Trans. Mach. Learn. Res., 2023)

A Robust Framework for Evaluation of Unsupervised Time-Series Anomaly Detection. - Onat Güngör; Amanda Rios; Priyanka Mudgal; Nilesh A. Ahuja; Tajana Rosing (ICPR (26), 2024)

CUAL: Continual Uncertainty-aware Active Learner. - Amanda Rios; Ibrahima J. Ndiour; Parual Datta; Jerry Sydir; Omesh Tickoo; Nilesh A. Ahuja (CoRR, 2024)

CONCLAD: COntinuous Novel CLAss Detector. - Amanda Rios; Ibrahima J. Ndiour; Parual Datta; Omesh Tickoo; Nilesh A. Ahuja (CoRR, 2024)

Uncertainty Quantification in Continual Open-World Learning. - Amanda Sofie Rios; Ibrahima J. Ndiour; Parual Datta; Jaroslaw Sydir; Omesh Tickoo; Nilesh A. Ahuja (CoRR, 2024)

TS-OOD: Evaluating Time-Series Out-of-Distribution Detection and Prospective Directions for Progress. - Onat Güngör; Amanda Sofie Rios; Nilesh A. Ahuja; Tajana Rosing (CoRR, 2025)