5 citations · 8 across the 2 of their papers we have counts for
3 papers
cs.LG2020★ 5 cited
BI-MAML: Balanced Incremental Approach for Meta Learning
Yang Zheng, Jinlin Xiang, Kun Su +1
We present a novel Balanced Incremental Model Agnostic Meta Learning system (BI-MAML) for learning multiple tasks. Our method implements a meta-update rule to incrementally adapt i…
cs.CV2019★ 3 cited
PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition
Kun Su, Xiulong Liu, Eli Shlizerman
We propose a novel system for unsupervised skeleton-based action recognition. Given inputs of body keypoints sequences obtained during various movements, our system associates the…
cs.LG2019
Clustering and Recognition of Spatiotemporal Features through Interpretable Embedding of Sequence to Sequence Recurrent Neural Networks
Kun Su, Eli Shlizerman
Encoder-decoder recurrent neural network models (RNN Seq2Seq) have achieved great success in ubiquitous areas of computation and applications. It was shown to be successful in mode…