no code implementations • 2 Oct 2023 • Hui Shi, Yann Traonmilin, J-F Aujol
Thanks to the maximum a posteriori Bayesian framework, such regularizer can be systematically linked with the distribution of the data.
1 code implementation • 8 Aug 2022 • Hanwen Du, Hui Shi, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao
Contrastive learning with Transformer-based sequence encoder has gained predominance for sequential recommendation.
1 code implementation • 14 Jul 2022 • Hui Shi, Yupeng Gu, Yitong Zhou, Bo Zhao, Sicun Gao, Jishen Zhao
In this paper, we propose the Multi-Interest Preference (MIP) model, an approach that not only produces multi-interest for users by using the user's sequential engagement more effectively but also automatically learns a set of weights to represent the preference over each embedding so that the candidates can be retrieved from each interest proportionally.
1 code implementation • 16 Dec 2021 • Hui Shi, Sicun Gao, Yuandong Tian, Xinyun Chen, Jishen Zhao
With the forced decomposition, we show that the performance upper bounds of LSTM and Transformer in learning CFL are close: both of them can simulate a stack and perform stack operation along with state transitions.
1 code implementation • ICLR 2020 • Hui Shi, Yang Zhang, Xinyun Chen, Yuandong Tian, Jishen Zhao
Deep symbolic superoptimization refers to the task of applying deep learning methods to simplify symbolic expressions.
no code implementations • 25 Sep 2019 • Hui Shi, Yang Zhang, Hao Wu, Shiyu Chang, Kaizhi Qian, Mark Hasegawa-Johnson, Jishen Zhao
Convolutional neural network (CNN) for time series data implicitly assumes that the data are uniformly sampled, whereas many event-based and multi-modal data are nonuniform or have heterogeneous sampling rates.
no code implementations • 21 May 2019 • Hengyu Zhao, Yubo Zhang, Pingfan Meng, Hui Shi, Li Erran Li, Tiancheng Lou, Jishen Zhao
To address this issue, we propose a `safety score' as a primary metric for measuring the level of safety in AV computing system design.