Search Results for author: Kai Shuang

Found 7 papers, 2 papers with code

Dense Contrastive Visual-Linguistic Pretraining

no code implementations24 Sep 2021 Lei Shi, Kai Shuang, Shijie Geng, Peng Gao, Zuohui Fu, Gerard de Melo, Yunpeng Chen, Sen Su

To overcome these issues, we propose unbiased Dense Contrastive Visual-Linguistic Pretraining (DCVLP), which replaces the region regression and classification with cross-modality region contrastive learning that requires no annotations.

Contrastive Learning Data Augmentation +1

Dual Slot Selector via Local Reliability Verification for Dialogue State Tracking

1 code implementation ACL 2021 Jinyu Guo, Kai Shuang, Jijie Li, Zihan Wang

However, the overwhelming majority of the slots in each turn should simply inherit the slot values from the previous turn.

Dialogue State Tracking

Neuron-level Structured Pruning using Polarization Regularizer

1 code implementation NeurIPS 2020 Tao Zhuang, Zhixuan Zhang, Yuheng Huang, Xiaoyi Zeng, Kai Shuang, Xiang Li

Experimentally, we show that structured pruning using polarization regularizer achieves much better results than using L1 regularizer.

A Hierarchical User Intention-Habit Extract Network for Credit Loan Overdue Risk Detection

no code implementations18 Aug 2020 Hao Guo, Xintao Ren, Rongrong Wang, Zhun Cai, Kai Shuang, Yue Sun

In this paper, we propose a model named HUIHEN (Hierarchical User Intention-Habit Extract Network) that leverages the users' behavior information in mobile banking APP.

Contrastive Visual-Linguistic Pretraining

no code implementations26 Jul 2020 Lei Shi, Kai Shuang, Shijie Geng, Peng Su, Zhengkai Jiang, Peng Gao, Zuohui Fu, Gerard de Melo, Sen Su

We evaluate CVLP on several down-stream tasks, including VQA, GQA and NLVR2 to validate the superiority of contrastive learning on multi-modality representation learning.

Contrastive Learning Representation Learning +1

Multi-Layer Content Interaction Through Quaternion Product For Visual Question Answering

no code implementations3 Jan 2020 Lei Shi, Shijie Geng, Kai Shuang, Chiori Hori, Songxiang Liu, Peng Gao, Sen Su

To solve the issue for the intermediate layers, we propose an efficient Quaternion Block Network (QBN) to learn interaction not only for the last layer but also for all intermediate layers simultaneously.

Question Answering Video Description +1

Adaptive Noise Injection: A Structure-Expanding Regularization for RNN

no code implementations25 Jul 2019 Rui Li, Kai Shuang, Mengyu Gu, Sen Su

Due to the adaptive noises can be improved as the training processes, its negative effects can be weakened and even transformed into a positive effect to further improve the expressiveness of the main-branch RNN.

Language Modelling

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