Search Results for author: Ruixuan Luo

Found 9 papers, 6 papers with code

Translation as Cross-Domain Knowledge: Attention Augmentation for Unsupervised Cross-Domain Segmenting and Labeling Tasks

1 code implementation Findings (EMNLP) 2021 Ruixuan Luo, Yi Zhang, Sishuo Chen, Xu sun

The nature of no word delimiter or inflection that can indicate segment boundaries or word semantics increases the difficulty of Chinese text understanding, and also intensifies the demand for word-level semantic knowledge to accomplish the tagging goal in Chinese segmenting and labeling tasks.


Adversarial Parameter Defense by Multi-Step Risk Minimization

no code implementations7 Sep 2021 Zhiyuan Zhang, Ruixuan Luo, Xuancheng Ren, Qi Su, Liangyou Li, Xu sun

To enhance neural networks, we propose the adversarial parameter defense algorithm that minimizes the average risk of multiple adversarial parameter corruptions.

Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption

1 code implementation10 Jun 2020 Xu Sun, Zhiyuan Zhang, Xuancheng Ren, Ruixuan Luo, Liangyou Li

We argue that the vulnerability of model parameters is of crucial value to the study of model robustness and generalization but little research has been devoted to understanding this matter.

An Adaptive and Momental Bound Method for Stochastic Learning

2 code implementations27 Oct 2019 Jianbang Ding, Xuancheng Ren, Ruixuan Luo, Xu sun

The dynamic learning rate bounds are based on the exponential moving averages of the adaptive learning rates themselves, which smooth out unexpected large learning rates and stabilize the training of deep neural networks.

Stochastic Optimization

PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation

4 code implementations27 Jun 2019 Ruixuan Luo, Jingjing Xu, Yi Zhang, Zhiyuan Zhang, Xuancheng Ren, Xu sun

Through this method, we generate synthetic data using a large amount of unlabeled data in the target domain and then obtain a word segmentation model for the target domain.

Chinese Word Segmentation Domain Adaptation +3

Exploration on Grounded Word Embedding: Matching Words and Images with Image-Enhanced Skip-Gram Model

no code implementations8 Sep 2018 Ruixuan Luo

Word embedding is designed to represent the semantic meaning of a word with low dimensional vectors.

Learning Word Embeddings

Acquisition of Localization Confidence for Accurate Object Detection

4 code implementations ECCV 2018 Borui Jiang, Ruixuan Luo, Jiayuan Mao, Tete Xiao, Yuning Jiang

The network acquires this confidence of localization, which improves the NMS procedure by preserving accurately localized bounding boxes.

General Classification Object +3

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