21 citations · 78 across the 19 of their papers we have counts for
5 papers · 1 filter
M^4I: Multi-modal Models Membership Inference
Pingyi Hu, Zihan Wang, Ruoxi Sun +2
With the development of machine learning techniques, the attention of research has been moved from single-modal learning to multi-modal learning, as real-world data exist in the fo…
Delayed Rewards Calibration via Reward Empirical Sufficiency
Yixuan Liu, Hu Wang, Xiaowei Wang +3
Appropriate credit assignment for delay rewards is a fundamental challenge for reinforcement learning. To tackle this problem, we introduce a delay reward calibration paradigm insp…
Memory-Gated Recurrent Networks
Yaquan Zhang, Qi Wu, Nanbo Peng +3
The essence of multivariate sequential learning is all about how to extract dependencies in data. These data sets, such as hourly medical records in intensive care units and multi-…
Randomized Online CP Decomposition
Congbo Ma, Xiaowei Yang, Hu Wang
CANDECOMP/PARAFAC (CP) decomposition has been widely used to deal with multi-way data. For real-time or large-scale tensors, based on the ideas of randomized-sampling CP decomposit…
ReNN: Rule-embedded Neural Networks
Hu Wang
The artificial neural network shows powerful ability of inference, but it is still criticized for lack of interpretability and prerequisite needs of big dataset. This paper propose…