NPCL: Neural Processes for Uncertainty-Aware Continual Learning

30 October 2023

Papers citing "NPCL: Neural Processes for Uncertainty-Aware Continual Learning"

7 / 7 papers shown

Title
Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes Jie Liu Pan Zhou Zehao Xiao Jiayi Shen Wenzhe Yin J. Sonke E. Gavves 25 0 0 03 May 2025
Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model RunQing Wu Fei Ye QiHe Liu Guoxi Huang Jinyu Guo Rongyao Hu CLL 95 0 0 15 Jan 2025
TinySubNets: An efficient and low capacity continual learning strategy Marcin Pietroñ Kamil Faber Dominik Zurek Roberto Corizzo 71 0 0 14 Dec 2024
Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models Saurav Jha Shiqi Yang Masato Ishii Mengjie Zhao Christian Simon Muhammad Jehanzeb Mirza Dong Gong Lina Yao Shusuke Takahashi Yuki Mitsufuji DiffM 55 2 0 01 Oct 2024
Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture M. Jung He Zhao Joanna Dipnall Belinda Gabbe Lan Du UQCV EDL 37 8 0 06 Oct 2022
NP-Match: When Neural Processes meet Semi-Supervised Learning Jianfeng Wang Thomas Lukasiewicz Daniela Massiceti Xiaolin Hu Vladimir Pavlovic A. Neophytou BDL 57 41 0 03 Jul 2022
Hierarchical VAEs Know What They Don't Know Jakob Drachmann Havtorn J. Frellsen Søren Hauberg Lars Maaløe DRL 28 71 0 16 Feb 2021