
LabelWise Document PreTraining for MultiLabel Text Classification
A major challenge of multilabel text classification (MLTC) is to stimul...
read it

The flare Package for High Dimensional Linear Regression and Precision Matrix Estimation in R
This paper describes an R package named flare, which implements a family...
read it

The huge Package for Highdimensional Undirected Graph Estimation in R
We describe an R package named huge which provides easytouse functions...
read it

Fewshot Slot Tagging with Collapsed Dependency Transfer and Labelenhanced Taskadaptive Projection Network
In this paper, we explore the slot tagging with only a few labeled suppo...
read it

A Deep Learning based Wearable Healthcare IoT Device for AIenabled Hearing Assistance Automation
With the recent booming of artificial intelligence (AI), particularly de...
read it

Neural Polysynthetic Language Modelling
Research in natural language processing commonly assumes that approaches...
read it

EQL – an extremely easy to learn knowledge graph query language, achieving highspeed and precise search
EQL, also named as Extremely Simple Query Language, can be widely used i...
read it

"Why is 'Chicago' deceptive?" Towards Building ModelDriven Tutorials for Humans
To support human decision making with machine learning models, we often ...
read it

AdvCodec: Towards A Unified Framework for Adversarial Text Generation
While there has been great interest in generating imperceptible adversar...
read it

Automatic quality assessment for 2D fetal sonographic standard plane based on multitask learning
The quality control of fetal sonographic (FS) images is essential for th...
read it

Clustering Uncertain Data via Representative Possible Worlds with Consistency Learning
Clustering uncertain data is an essential task in data mining for the in...
read it

Attributed Graph Learning with 2D Graph Convolution
Graph convolutional neural networks have demonstrated promising performa...
read it

MVDLite: A Lightweight Model View Definition Representation with Fast Validation for Building Information Model
Model View Definition (MVD) is the standard methodology to define the ex...
read it

MVDLite: A Lightweight Representation of Model View Definition with Fast Validation for BIM Applications
Model View Definition (MVD) is the standard methodology to define the pa...
read it

Fast Lowrank Metric Learning for Largescale and Highdimensional Data
Lowrank metric learning aims to learn better discrimination of data sub...
read it

More Supervision, Less Computation: StatisticalComputational Tradeoffs in Weakly Supervised Learning
We consider the weakly supervised binary classification problem where th...
read it

FewShot Sequence Labeling with Label Dependency Transfer
Fewshot sequence labeling faces a unique challenge compared with the ot...
read it

Attributed Graph Clustering via Adaptive Graph Convolution
Attributed graph clustering is challenging as it requires joint modellin...
read it

Estimating and Inferring the Maximum Degree of StimulusLocked TimeVarying Brain Connectivity Networks
Neuroscientists have enjoyed much success in understanding brain functio...
read it

Covariancebased sample selection for heterogenous data: Applications to gene expression and autism risk gene detection
Risk for autism can be influenced by genetic mutations in hundreds of ge...
read it

FiniteSample Analyses for Fully Decentralized MultiAgent Reinforcement Learning
Despite the increasing interest in multiagent reinforcement learning (M...
read it

EASYFLOW: Keep Ethereum Away From Overflow
While Ethereum smart contracts enabled a wide range of blockchain applic...
read it

Performance assessment of the deep learning technologies in grading glaucoma severity
Objective: To validate and compare the performance of eight available de...
read it

SDFN: Segmentationbased Deep Fusion Network for Thoracic Disease Classification in Chest Xray Images
This study aims to automatically diagnose thoracic diseases depicted on ...
read it

Superpixel cloud detection using Hierarchical Fusion CNN
Cloud detection plays a very important role in the process of remote sen...
read it

Parametrized Deep QNetworks Learning: Reinforcement Learning with DiscreteContinuous Hybrid Action Space
Most existing deep reinforcement learning (DRL) frameworks consider eith...
read it

Fully Implicit Online Learning
Regularized online learning is widely used in machine learning. In this ...
read it

High Temperature Structure Detection in Ferromagnets
This paper studies structure detection problems in high temperature ferr...
read it

TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game
Starcraft II (SCII) is widely considered as the most challenging Real Ti...
read it

A convex formulation for highdimensional sparse sliced inverse regression
Sliced inverse regression is a popular tool for sufficient dimension red...
read it

Factorized QLearning for LargeScale MultiAgent Systems
Deep Qlearning has achieved a significant success in singleagent decis...
read it

Diffusion Approximations for Online Principal Component Estimation and Global Convergence
In this paper, we propose to adopt the diffusion approximation tools to ...
read it

Online ICA: Understanding Global Dynamics of Nonconvex Optimization via Diffusion Processes
Solving statistical learning problems often involves nonconvex optimizat...
read it

Curse of Heterogeneity: Computational Barriers in Sparse Mixture Models and Phase Retrieval
We study the fundamental tradeoffs between statistical accuracy and comp...
read it

A Unified Framework for Testing High Dimensional Parameters: A DataAdaptive Approach
High dimensional hypothesis test deals with models in which the number o...
read it

Marginal Policy Gradients for Complex Control
Many complex domains, such as robotics control and realtime strategy (R...
read it

Efficient, Certifiably Optimal HighDimensional Clustering
We consider SDP relaxation methods for data and variable clustering prob...
read it

FeedbackBased Tree Search for Reinforcement Learning
Inspired by recent successes of MonteCarlo tree search (MCTS) in a numb...
read it

Discrete Factorization Machines for Fast Featurebased Recommendation
User and item features of side information are crucial for accurate reco...
read it

Fully Decentralized MultiAgent Reinforcement Learning with Networked Agents
We consider the problem of fully decentralized multiagent reinforcement...
read it

The Enemy Among Us: Detecting Hate Speech with Threats Based 'Othering' Language Embeddings
Offensive or antagonistic language targeted at individuals and social gr...
read it

Cyber Hate Classification: 'Othering' Language And Paragraph Embedding
Hateful and offensive language (also known as hate speech or cyber hate)...
read it

A New Perspective on Robust MEstimation: Finite Sample Theory and Applications to DependenceAdjusted Multiple Testing
Heavytailed errors impair the accuracy of the least squares estimate, w...
read it

On Stein's Identity and NearOptimal Estimation in Highdimensional Index Models
We consider estimating the parametric components of semiparametric mult...
read it

InterSubject Analysis: Inferring Sparse Interactions with Dense IntraGraphs
We develop a new modeling framework for InterSubject Analysis (ISA). Th...
read it

Property Testing in High Dimensional Ising models
This paper explores the informationtheoretic limitations of graph prope...
read it

Adaptive Inferential Method for Monotone Graph Invariants
We consider the problem of undirected graphical model inference. In many...
read it

Graphical Nonconvex Optimization for Optimal Estimation in Gaussian Graphical Models
We consider the problem of learning highdimensional Gaussian graphical ...
read it

Continual Learning in Generative Adversarial Nets
Developments in deep generative models have allowed for tractable learni...
read it

Homotopy Parametric Simplex Method for Sparse Learning
High dimensional sparse learning has imposed a great computational chall...
read it