Bors, Adrian G.

24 publications

AAAI 2025 Continual Unsupervised Generative Modelling via Online Optimal Transport Fei Ye, Adrian G. Bors, Kun Zhang

AAAI 2025 Dynamic Expansion Diffusion Learning for Lifelong Generative Modelling Fei Ye, Adrian G. Bors, Kun Zhang

NeurIPS 2025 Dynamic Siamese Expansion Framework for Improving Robustness in Online Continual Learning Fei Ye, Yulong Zhao, Qihe Liu, Junlin Chen, Adrian G. Bors, Jingling Sun, Rongyao Hu, Shijie Zhou

NeurIPS 2025 Learning Expandable and Adaptable Representations for Continual Learning Ruilong Yu, Mingyan Liu, Fei Ye, Adrian G. Bors, Rongyao Hu, Jingling Sun, Shijie Zhou

NeurIPS 2025 Learning Multi-Source and Robust Representations for Continual Learning Fei Ye, Yongcheng Zhong, Qihe Liu, Adrian G. Bors, Jingling Sun, Rongyao Hu, Shijie Zhou

AAAI 2025 Lifelong Scalable Generative System via Online Maximum Mean Discrepancy Fei Ye, Adrian G. Bors

CVPR 2025 Online Task-Free Continual Learning via Dynamic Expansionable Memory Distribution Fei Ye, Adrian G. Bors

CVPR 2024 Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster Memory Fei Ye, Adrian G. Bors

AAAI 2024 Task-Free Continual Generation and Representation Learning via Dynamic Expansionable Memory Cluster Fei Ye, Adrian G. Bors

AAAI 2024 Task-Free Dynamic Sparse Vision Transformer for Continual Learning Fei Ye, Adrian G. Bors

AAAI 2023 Continual Variational Autoencoder via Continual Generative Knowledge Distillation Fei Ye, Adrian G. Bors

AAAI 2023 Learning Dynamic Latent Spaces for Lifelong Generative Modelling Fei Ye, Adrian G. Bors

AAAI 2023 Lifelong Compression Mixture Model via Knowledge Relationship Graph Fei Ye, Adrian G. Bors

AAAI 2023 Lifelong Variational Autoencoder via Online Adversarial Expansion Strategy Fei Ye, Adrian G. Bors

NeurIPS 2023 Masked Image Residual Learning for Scaling Deeper Vision Transformers Guoxi Huang, Hongtao Fu, Adrian G. Bors

ICCV 2023 Self-Evolved Dynamic Expansion Model for Task-Free Continual Learning Fei Ye, Adrian G. Bors

ICCV 2023 Wasserstein Expansible Variational Autoencoder for Discriminative and Generative Continual Learning Fei Ye, Adrian G. Bors

WACV 2022 Busy-Quiet Video Disentangling for Video Classification Guoxi Huang, Adrian G. Bors

ECCV 2022 Continual Variational Autoencoder Learning via Online Cooperative Memorization Fei Ye, Adrian G. Bors

AAAI 2022 Lifelong Generative Modelling Using Dynamic Expansion Graph Model Fei Ye, Adrian G. Bors

NeurIPS 2022 Task-Free Continual Learning via Online Discrepancy Distance Learning Fei Ye, Adrian G. Bors

ICCV 2021 Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process Fei Ye, Adrian G. Bors

ECCV 2020 Learning Latent Representations Across Multiple Data Domains Using Lifelong VAEGAN Fei Ye, Adrian G. Bors

CVPR 2000 A Bayesian Framework for Radar Shape-from-Shading Adrian G. Bors, Edwin R. Hancock, Richard C. Wilson