3 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 2 cited
Towards Adversarially Robust Continual Learning
Tao Bai, Chen Chen, Lingjuan Lyu +2
Recent studies show that models trained by continual learning can achieve the comparable performances as the standard supervised learning and the learning flexibility of continual…
cs.CR2023★ 1 cited
SMPC Task Decomposition: A Theory for Accelerating Secure Multi-party Computation Task
Yuanqing Feng, Tao Bai, Songfeng Lu +2
Today, we are in the era of big data, and data are becoming more and more important, especially private data. Secure Multi-party Computation (SMPC) technology enables parties to pe…
cs.CV2022★ 3 cited
Memory-Based Label-Text Tuning for Few-Shot Class-Incremental Learning
Jinze Li, Yan Bai, Yihang Lou +4
Few-shot class-incremental learning(FSCIL) focuses on designing learning algorithms that can continually learn a sequence of new tasks from a few samples without forgetting old one…