Closed-loop memory GAN for continual learning A Rios, L Itti Proceedings of the 28th International Joint Conference on Artificial …, 2019 | 74* | 2019 |
Beneficial perturbation network for designing general adaptive artificial intelligence systems S Wen, A Rios, Y Ge, L Itti IEEE Transactions on Neural Networks and Learning Systems 33 (8), 3778-3791, 2021 | 20 | 2021 |
Lifelong Learning Without a Task Oracle A Rios, L Itti 2020 IEEE 32nd International Conference on Tools with Artificial …, 2020 | 9 | 2020 |
What can we learn from misclassified ImageNet images? S Wen, AS Rios, K Lekkala, L Itti arXiv preprint arXiv:2201.08098, 2022 | 7 | 2022 |
Lightweight Learner for Shared Knowledge Lifelong Learning Y Ge, Y Li, D Wu, A Xu, AM Jones, AS Rios, I Fostiropoulos, S Wen, ... Transactions on Machine Learning Research (TMLR), 2023 | 6 | 2023 |
incDFM: Incremental Deep Feature Modeling for Continual Novelty Detection A Rios, N Ahuja, I Ndiour, U Genc, L Itti, O Tickoo Proceedings of the 17th European Conference on Computer Vision, ECCV 2022, 2022 | 6 | 2022 |
Beneficial Perturbations Network for Defending Adversarial Examples S Wen, A Rios, L Itti arXiv preprint arXiv:2009.12724, 2020 | 3 | 2020 |
Ferroelectric FET based Context-Switching FPGA Enabling Dynamic Reconfiguration for Adaptive Deep Learning Machines Y Xu, Z Zhao, Y Xiao, T Yu, H Mulaosmanovic, D Kleimaier, S Duenkel, ... arXiv preprint arXiv:2212.00089, 2022 | 2 | 2022 |
ShapeY: Measuring Shape Recognition Capacity Using Nearest Neighbor Matching JW Nam, AS Rios, BW Mel NeurIPS 2021 Workshop on ImageNet: Past, Present, and Future. 2021, 2021 | | 2021 |
Supplementary Materials-Incremental Deep Feature Modeling for Continual Novelty Detection (incDFM) A Rios, N Ahuja, I Ndiour, U Genc, L Itti, O Tickoo | | |