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Regularized Attentive Capsule Network for Overlapped Relation Extraction
Distantly supervised relation extraction has been widely applied in know...
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SE-ECGNet: A Multi-scale Deep Residual Network with Squeeze-and-Excitation Module for ECG Signal Classification
The classification of electrocardiogram (ECG) signals, which takes much ...
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Active Testing: An Unbiased Evaluation Method for Distantly Supervised Relation Extraction
Distant supervision has been a widely used method for neural relation ex...
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Ape210K: A Large-Scale and Template-Rich Dataset of Math Word Problems
Automatic math word problem solving has attracted growing attention in r...
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Bayesian Hierarchical Models for High-Dimensional Mediation Analysis with Coordinated Selection of Correlated Mediators
We consider Bayesian high-dimensional mediation analysis to identify amo...
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SHAP values for Explaining CNN-based Text Classification Models
Deep neural networks are increasingly used in natural language processin...
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Inducing Language-Agnostic Multilingual Representations
Multilingual representations have the potential to make cross-lingual sy...
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Bayesian Sparse Mediation Analysis with Targeted Penalization of Natural Indirect Effects
Causal mediation analysis aims to characterize an exposure's effect on a...
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On Manually Reverse Engineering Communication Protocols of Linux Based IoT Systems
IoT security and privacy has raised grave concerns. Efforts have been ma...
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Sapphire: Automatic Configuration Recommendation for Distributed Storage Systems
Modern distributed storage systems come with aplethora of configurable p...
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Interpretable and Efficient Heterogeneous Graph Convolutional Network
Graph Convolutional Network (GCN) has achieved extraordinary success in ...
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COVID-19 Chest CT Image Segmentation – A Deep Convolutional Neural Network Solution
A novel coronavirus disease 2019 (COVID-19) was detected and has spread ...
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Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images
Background: Chest computed tomography (CT) is recognized as an important...
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Dual-Domain Fusion Convolutional Neural Network for Contrast Enhancement Forensics
Contrast enhancement (CE) forensics techniques have always been of great...
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MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance
A robust evaluation metric has a profound impact on the development of t...
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Denoising based Sequence-to-Sequence Pre-training for Text Generation
This paper presents a new sequence-to-sequence (seq2seq) pre-training me...
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Personalized Attraction Enhanced Sponsored Search with Multi-task Learning
We study a novel problem of sponsored search (SS) for E-Commerce platfor...
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IntentGC: a Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation
The remarkable progress of network embedding has led to state-of-the-art...
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Tensor train-Karhunen-Loève expansion for continuous-indexed random fields using higher-order cumulant functions
The goals of this work are two-fold: firstly, to propose a new theoretic...
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HTDet: A Clustering Method using Information Entropy for Hardware Trojan Detection
Hardware Trojans (HTs) have drawn more and more attention in both academ...
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Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications
Obstacles hindering the development of capsule networks for challenging ...
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Time-sync Video Tag Extraction Using Semantic Association Graph
Time-sync comments reveal a new way of extracting the online video tags....
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Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data
Neural machine translation systems have become state-of-the-art approach...
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Second order hierarchical partial least squares regression-polynomial chaos expansion for global sensitivity and reliability analyses of high-dimensional models
To tackle the curse of dimensionality and multicollinearity problems of ...
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Vector and Line Quantization for Billion-scale Similarity Search on GPUs
Billion-scale high-dimensional approximate nearest neighbour (ANN) searc...
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Multi-Perspective Context Aggregation for Semi-supervised Cloze-style Reading Comprehension
Cloze-style reading comprehension has been a popular task for measuring ...
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Decentralized Multi-UAV Routing in the Presence of Disturbances
We introduce a decentralized and online path planning technique for a ne...
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Fast Dynamic Routing Based on Weighted Kernel Density Estimation
Capsules as well as dynamic routing between them are most recently propo...
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IoT Security: An End-to-End View and Case Study
In this paper, we present an end-to-end view of IoT security and privacy...
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Security Consideration For Deep Learning-Based Image Forensics
Recently, image forensics community has paied attention to the research ...
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Investigating Capsule Networks with Dynamic Routing for Text Classification
In this study, we explore capsule networks with dynamic routing for text...
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Robust Contrast Enhancement Forensics Using Convolutional Neural Networks
Contrast enhancement(CE) forensics has always been attracted widely atte...
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Deep Reinforcement Learning for Sponsored Search Real-time Bidding
Bidding optimization is one of the most critical problems in online adve...
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Leveraging Long and Short-term Information in Content-aware Movie Recommendation
Movie recommendation systems provide users with ranked lists of movies b...
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EASM: Efficiency-Aware Switch Migration for Balancing Controller Loads in Software-Defined Networking
Distributed multi-controller deployment is a promising method to achieve...
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Source Camera Identification Based On Content-Adaptive Fusion Network
Source camera identification is still a hard task in forensics community...
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