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Oct 04, 2019
Machine Learning

Learning Robust Representations with Graph Denoising Policy Network

Graph representation learning, aiming to learn low-dimensional representations which capture the geometric dependencies between nodes in the original…
Jan 19, 2019
Databases

Guaranteeing Recoverability via Partially Constrained Transaction Logs

Transaction logging is an essential constituent to guarantee the atomicity and durability in online transaction processing (OLTP) systems. It always …
Oct 03, 2018
Computer Vision

An Effective Single-Image Super-Resolution Model Using Squeeze-and-…

Recent works on single-image super-resolution are concentrated on improving performance through enhancing spatial encoding between convolutional laye…
Feb 11, 2020
Machine Learning

Learning Structured Communication for Multi-agent Reinforcement Learn…

This work explores the large-scale multi-agent communication mechanism under a multi-agent reinforcement learning (MARL) setting. We summarize the ge…
Dec 08, 2019
Machine Learning
Computation and Language
Information Retrieval

Attentive Representation Learning with Adversarial Training for Short…

Short text clustering has far-reaching effects on semantic analysis, showing its importance for multiple applications such as corpus summarization an…
Jan 02, 2021
Computation and Language

Lex-BERT: Enhancing BERT based NER with lexicons

In this work, we represent Lex-BERT, which incorporates the lexicon information into Chinese BERT for named entity recognition (NER) tasks in a natur…
Apr 15, 2017
Statistics Theory

The COM-negative binomial distribution: modeling overdispersion and …

In this paper, we focus on the COM-type negative binomial distribution with three parameters, which belongs to COM-type $(a,b,0)$ class distributions…
Jan 05, 2018
Computation and Language

A Multi-task Learning Approach for Improving Product Title Compressio…

It is a challenging and practical research problem to obtain effective compression of lengthy product titles for E-commerce. This is particularly imp…
Jun 24, 2018
Computation and Language

Modeling Multi-turn Conversation with Deep Utterance Aggregation

Multi-turn conversation understanding is a major challenge for building intelligent dialogue systems. This work focuses on retrieval-based response m…
Oct 09, 2018
Machine Learning

The Adversarial Attack and Detection under the Fisher Information Met…

Many deep learning models are vulnerable to the adversarial attack, i.e., imperceptible but intentionally-designed perturbations to the input can cau…
Aug 30, 2018
Information Theory

Space-Time Block Coding Based Beamforming for Beam Squint Compensation

In this paper, the beam squint problem, which causes significant variations in radiated beam gain over frequencies in millimeter wave communication s…
Dec 08, 2019
Machine Learning
Computation and Language
Information Retrieval

Attentive Representation Learning with Adversarial Training for Short…

Short text clustering has far-reaching effects on semantic analysis, showing its importance for multiple applications such as corpus summarization an…
Jan 21, 2021
Neural and Evolutionary Computation
Artificial Intelligence

Variable Division and Optimization for Constrained Multiobjective P…

Variable division and optimization (D\&O) is a frequently utilized algorithm design paradigm in Evolutionary Algorithms (EAs). A D\&O EA divides a va…
Jun 27, 2019
Databases

A Survey and Experimental Analysis of Distributed Subgraph Matching

Recently there emerge many distributed algorithms that aim at solving subgraph matching at scale. Existing algorithm-level comparisons failed to prov…
Sep 22, 2020
Computation and Language

In this work, we first construct a comprehensive search space to include many import design choices for a BERT based RC model. Then we design an efficient search method with the help of RL to navigate on this search space. To speed up the search pro…

AutoRC: Improving BERT Based Relation Classification Models via Arc…

Although BERT based relation classification (RC) models have achieved significant improvements over the traditional deep learning models, it seems th…
Aug 07, 2018
Computation and Language

Effective Character-augmented Word Embedding for Machine Reading Co…

Machine reading comprehension is a task to model relationship between passage and query. In terms of deep learning framework, most of state-of-the-ar…
Dec 31, 2020
Image and Video Processing
Computer Vision

Survey of the Detection and Classification of Pulmonary Lesions via C…

In recent years, the prevalence of several pulmonary diseases, especially the coronavirus disease 2019 (COVID-19) pandemic, has attracted worldwide a…
Oct 11, 2019
Machine Learning

Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior …

We consider off-policy policy evaluation when the trajectory data are generated by multiple behavior policies. Recent work has shown the key role pla…
Feb 03, 2020
Computer Vision
Artificial Intelligence

Novelty Detection via Non-Adversarial Generative Network

One-class novelty detection is the process of determining if a query example differs from the training examples (the target class). Most of previous …
Jul 04, 2019
Computer Vision

Edge-Aware Deep Image Deblurring

Image deblurring is a fundamental and challenging low-level vision problem. Previous vision research indicates that edge structure in natural scenes …
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