1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2023
Robust Meta Learning for Image based tasks
Penghao Jiang, Xin Ke, ZiFeng Wang +1
A machine learning model that generalizes well should obtain low errors on unseen test examples. Thus, if we learn an optimal model in training data, it could have better generaliz…
cs.LG2023★ 1 cited
Invariant Meta Learning for Out-of-Distribution Generalization
Penghao Jiang, Ke Xin, Zifeng Wang +1
Modern deep learning techniques have illustrated their excellent capabilities in many areas, but relies on large training data. Optimization-based meta-learning train a model on a…
cs.CV2023
Deep Transfer Tensor Factorization for Multi-View Learning
Penghao Jiang, Ke Xin, Chunxi Li
This paper studies the data sparsity problem in multi-view learning. To solve data sparsity problem in multiview ratings, we propose a generic architecture of deep transfer tensor…