63 citations · 124 across the 9 of their papers we have counts for
8 papers · 1 filter
Robust Dynamic Expansion for Continual Learning under Backdoor Attacks via Purification and Selective Recovery
Keyu Lin, Fei Ye, Qihe Liu +2
Continual learning (CL) enables models to acquire new knowledge from sequentially arriving tasks while retaining previously learned knowledge. However, in practical scenarios, task…
Learning Harmonic Molecular Representations on Riemannian Manifold
Yiqun Wang, Yuning Shen, Shi Chen +3
Molecular representation learning plays a crucial role in AI-assisted drug discovery research. Encoding 3D molecular structures through Euclidean neural networks has become the pre…
Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process
Fei Ye, Adrian G. Bors
Recent research efforts in lifelong learning propose to grow a mixture of models to adapt to an increasing number of tasks. The proposed methodology shows promising results in over…
InfoVAEGAN : learning joint interpretable representations by information maximization and maximum likelihood
Fei Ye, Adrian G. Bors
Learning disentangled and interpretable representations is an important step towards accomplishing comprehensive data representations on the manifold. In this paper, we propose a n…
Lifelong Mixture of Variational Autoencoders
Fei Ye, Adrian G. Bors
In this paper, we propose an end-to-end lifelong learning mixture of experts. Each expert is implemented by a Variational Autoencoder (VAE). The experts in the mixture system are j…
Lifelong Teacher-Student Network Learning
Fei Ye, Adrian G. Bors
A unique cognitive capability of humans consists in their ability to acquire new knowledge and skills from a sequence of experiences. Meanwhile, artificial intelligence systems are…