output
20072026
most citedA Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

2.7k citations

Showing 2018Show all

28 papers · 1 filter

cs.CL2018★ 13 cited

Conditional BERT Contextual Augmentation

Xing Wu, Shangwen Lv, Liangjun Zang +2

We propose a novel data augmentation method for labeled sentences called conditional BERT contextual augmentation. Data augmentation methods are often applied to prevent overfittin…

quant-ph2018★ 1 cited

Quantum Miss-in-the-Middle Attack

Huiqin Xie, Li Yang

Traditional cryptography is facing great challenges with the development of quantum computing. Not only public-key cryptography, the applications of quantum algorithms to symmetric…

cs.IT2018

Constructions of involutions over finite fields

Dabin Zheng, Mu Yuan, Nian Li +2

An involution over finite fields is a permutation polynomial whose inverse is itself. Owing to this property, involutions over finite fields have been widely used in applications s…

cs.CV2018★ 4 cited

HSCS: Hierarchical Sparsity Based Co-saliency Detection for RGBD Images

Runmin Cong, Jianjun Lei, Huazhu Fu +3

Co-saliency detection aims to discover common and salient objects in an image group containing more than two relevant images. Moreover, depth information has been demonstrated to b…

cs.CV2018★ 17 cited

ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples

Xiaojun Jia, Xingxing Wei, Xiaochun Cao +1

Deep neural networks (DNNs) have been demonstrated to be vulnerable to adversarial examples. Specifically, adding imperceptible perturbations to clean images can fool the well trai…

cs.CV2018★ 29 cited

Transferable Adversarial Attacks for Image and Video Object Detection

Xingxing Wei, Siyuan Liang, Ning Chen +1

Adversarial examples have been demonstrated to threaten many computer vision tasks including object detection. However, the existing attacking methods for object detection have two…

cs.CV2018★ 218 cited

Low-resolution Face Recognition in the Wild via Selective Knowledge Distillation

Shiming Ge, Shengwei Zhao, Chenyu Li +1

Typically, the deployment of face recognition models in the wild needs to identify low-resolution faces with extremely low computational cost. To address this problem, a feasible s…

cs.MM2018★ 1 cited

Semantic Modeling of Textual Relationships in Cross-Modal Retrieval

Jing Yu, Chenghao Yang, Zengchang Qin +3

Feature modeling of different modalities is a basic problem in current research of cross-modal information retrieval. Existing models typically project texts and images into one em…

cs.CV2018★ 1 cited

Image Captioning based on Deep Reinforcement Learning

Haichao Shi, Peng Li, Bo Wang +1

Recently it has shown that the policy-gradient methods for reinforcement learning have been utilized to train deep end-to-end systems on natural language processing tasks. What's m…

cs.RO2018★ 19 cited

Design and Implementation of Global Path Planning System for Unmanned Surface Vehicle among Multiple Task Points

Yanlong Wang, Xuemin Yu, Xu Liang

Global path planning is the key technology in the design of unmanned surface vehicles. This paper establishes global environment modelling based on electronic charts and hexagonal…

cs.NI2018★ 11 cited

Using Complex Network Theory for Temporal Locality in Network Traffic Flows

Jin-Fa Wang, Hai Zhao, Shuai-Zong Si +3

Monitoring the interaction behaviors of network traffic flows and detecting unwanted Internet applications and anomalous flows have become a challenging problem, since many applica…

cs.DM2018★ 23 cited

Corrigendum to New Generalized Cyclotomic Binary Sequences of Period

Zibi Xiao, Xiangyong Zeng, Chunlei Li +1

New generalized cyclotomic binary sequences of period are proposed in this paper, where is an odd prime. The sequences are almost balanced and their linear complexity is…

cs.CR2018★ 1 cited

Anonymous Identity-Based Encryption with Identity Recovery

Xuecheng Ma, Xin Wang, Dongdai Lin

Anonymous Identity-Based Encryption can protect privacy of the receiver. However, there are some situations that we need to recover the identity of the receiver, for example a disp…

cs.SI2018★ 4 cited

Detecting Statistically Significant Communities

Zengyou He, Hao Liang, Zheng Chen +1

Community detection is a key data analysis problem across different fields. During the past decades, numerous algorithms have been proposed to address this issue. However, most wor…

cs.CV2018★ 401 cited

Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image

Huazhu Fu, Jun Cheng, Yanwu Xu +4

Glaucoma is a chronic eye disease that leads to irreversible vision loss. Most of the existing automatic screening methods firstly segment the main structure, and subsequently calc…

cs.CR2018★ 13 cited

An Empirical Assessment of Security Risks of Global Android Banking Apps

Sen Chen, Lingling Fan, Guozhu Meng +5

Mobile banking apps, belonging to the most security-critical app category, render massive and dynamic transactions susceptible to security risks. Given huge potential financial los…

cs.IT2018★ 2 cited

Nonexistence of generalized bent functions and the quadratic norm form equations

Chang Lv, Yuqing Zhu

We present a new result on the nonexistence of generalized bent functions (GBFs)from (Z/tZ)^n to Z/tZ (called type [n, t]) for a large class. Assume p is an odd prime number. By sh…

cs.CV2018★ 61 cited

Gated Fusion Network for Single Image Dehazing

Wenqi Ren, Lin Ma, Jiawei Zhang +4

In this paper, we propose an efficient algorithm to directly restore a clear image from a hazy input. The proposed algorithm hinges on an end-to-end trainable neural network that c…

cs.NI2018

SMDP-based Downlink Packet Scheduling Scheme for Solar Energy Assisted Heterogeneous Networks

Qizhen Li, Jie Gao, Jinming Wen +3

Renewable energy assisted heterogeneous networks can improve system capacity and reduce conventional energy consumption. In this paper, we propose a semi-Markov decision process (S…

cs.IR2018

From Social to Individuals: a Parsimonious Path of Multi-level Models for Crowdsourced Preference Aggregation

Qianqian Xu, Jiechao Xiong, Xiaochun Cao +2

In crowdsourced preference aggregation, it is often assumed that all the annotators are subject to a common preference or social utility function which generates their comparison b…

cs.CR2018★ 161 cited

Understanding Membership Inferences on Well-Generalized Learning Models

Yunhui Long, Vincent Bindschaedler, Lei Wang +5

Membership Inference Attack (MIA) determines the presence of a record in a machine learning model's training data by querying the model. Prior work has shown that the attack is fea…

cs.IR2018★ 15 cited

Modeling Text with Graph Convolutional Network for Cross-Modal Information Retrieval

Jing Yu, Yuhang Lu, Zengchang Qin +4

Cross-modal information retrieval aims to find heterogeneous data of various modalities from a given query of one modality. The main challenge is to map different modalities into a…

cs.RO2018★ 12 cited

Research and Implementation of Global Path Planning for Unmanned Surface Vehicle Based on Electronic Chart

Yanlong Wang, Xu Liang, Baoan Li +1

Unmanned Surface Vehicle (USV) is a new type of intelligent surface craft, and global path planning is the key technology of USV research, which can reflect the intelligent level o…

cs.MM2018★ 77 cited

Fake Colorized Image Detection

Yuanfang Guo, Xiaochun Cao, Wei Zhang +1

Image forensics aims to detect the manipulation of digital images. Currently, splicing detection, copy-move detection and image retouching detection are drawing much attentions fro…