
Pretraining with Nonexpert Human Demonstration for Deep Reinforcement Learning
Deep reinforcement learning (deep RL) has achieved superior performance ...
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Adversarial Transfer Learning
There is a recent large and growing interest in generative adversarial n...
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Adapting Auxiliary Losses Using Gradient Similarity
One approach to deal with the statistical inefficiency of neural network...
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Interactive Learning of Environment Dynamics for Sequential Tasks
In order for robots and other artificial agents to efficiently learn to ...
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ResourceEfficient Computing in Wearable Systems
We propose two optimization techniques to minimize memory usage and comp...
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Towards a NetworksofNetworks Framework for Cyber Security
Networksofnetworks (NoN) is a graphtheoretic model of interdependent ...
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Efficient and Invariant Convolutional Neural Networks for Dense Prediction
Convolutional neural networks have shown great success on feature extrac...
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Dense Transformer Networks
The key idea of current deep learning methods for dense prediction is to...
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Learning Convolutional Text Representations for Visual Question Answering
Visual question answering is a recently proposed artificial intelligence...
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Spatial Variational AutoEncoding via MatrixVariate Normal Distributions
The key idea of variational autoencoders (VAEs) resembles that of tradi...
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Pixel Deconvolutional Networks
Deconvolutional layers have been widely used in a variety of deep models...
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Autonomous Extracting a Hierarchical Structure of Tasks in Reinforcement Learning and Multitask Reinforcement Learning
Reinforcement learning (RL), while often powerful, can suffer from slow ...
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AttentionBased Models for TextDependent Speaker Verification
Attentionbased models have recently shown great performance on a range ...
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Learning to Teach Reinforcement Learning Agents
In this article we study the transfer learning model of action advice un...
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MultiStage Variational AutoEncoders for CoarsetoFine Image Generation
Variational autoencoder (VAE) is a powerful unsupervised learning frame...
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Trust from the past: Bayesian Personalized Ranking based Link Prediction in Knowledge Graphs
Link prediction, or predicting the likelihood of a link in a knowledge g...
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Regularization vs. Relaxation: A conic optimization perspective of statistical variable selection
Variable selection is a fundamental task in statistical data analysis. S...
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Interesting Paths in the Mapper
The Mapper produces a compact summary of high dimensional data as a simp...
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Learning to Speed Up Query Planning in Graph Databases
Querying graph structured data is a fundamental operation that enables i...
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Personalized Human Activity Recognition Using Convolutional Neural Networks
A major barrier to the personalized Human Activity Recognition using wea...
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Median Shapes
We introduce and begin to explore the mean and median of finite sets of ...
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Towards Cooperation in Sequential Prisoner's Dilemmas: a Deep Multiagent Reinforcement Learning Approach
The Iterated Prisoner's Dilemma has guided research on social dilemmas f...
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False discovery rate control for multiple testing based on pvalues with càdlàg distribution functions
For multiple testing based on pvalues with càdlàg distribution function...
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PreferenceGuided Planning: An Active Elicitation Approach
Planning with preferences has been employed extensively to quickly gener...
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Variable Selection via Adaptive False Negative Control in HighDimensional Regression
In highdimensional regression, variable selection methods have been dev...
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Parameter estimation for high dimensional change point regression models without grid search
We propose an L1 regularized estimator for the parameters of a high dime...
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Interactive Reinforcement Learning with Dynamic Reuse of Prior Knowledge from Human/Agent's Demonstration
Reinforcement learning has enjoyed multiple successes in recent years. H...
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Longitudinal Characterization and Sustainable Classification of Android Apps via SAD Profiles
Machine learningbased malware detection dominates current security defe...
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A Preliminary Study On the Sustainability of Android Malware Detection
Machine learningbased malware detection dominates current security defe...
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LargeScale Learnable Graph Convolutional Networks
Convolutional neural networks (CNNs) have achieved great success on grid...
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Active Anomaly Detection via Ensembles
In critical applications of anomaly detection including computer securit...
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GLAD: GLocalized Anomaly Detection via Active Feature Space Suppression
We propose an algorithm called GLAD (GLocalized Anomaly Detection) that ...
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Autonomous Extraction of a Hierarchical Structure of Tasks in Reinforcement Learning, A Sequential Associate Rule Mining Approach
Reinforcement learning (RL) techniques, while often powerful, can suffer...
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Euler Transformation of Polyhedral Complexes
We propose an Euler transformation that transforms a given ddimensional...
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Enumeration, structural and dimensional synthesis of robotic hands: theory and implementation
Designing robotic hands for specific tasks could help in the creation of...
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A Scale Invariant Approach for Sparse Signal Recovery
In this paper, we study the ratio of the L_1 and L_2 norms, denoted as...
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Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations
With the development of graph convolutional networks (GCN), deep learnin...
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Active Anomaly Detection via Ensembles: Insights, Algorithms, and Interpretability
Anomaly detection (AD) task corresponds to identifying the true anomalie...
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Jointly Pretraining with Supervised, Autoencoder, and Value Losses for Deep Reinforcement Learning
Deep Reinforcement Learning (DRL) algorithms are known to be data ineffi...
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TDMR Detection System with Local Area Influence Probabilistic a Priori Detector
We propose a threetrack detection system for two dimensional magnetic r...
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On BenjaminiHochberg procedure applied to mid pvalues
Multiple testing with discrete pvalues routinely arises in various scie...
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Detection and estimation of parameters in high dimensional multiple change point regression models via ℓ_1/ℓ_0 regularization and discrete optimization
Binary segmentation, which is sequential in nature is thus far the most ...
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On poleswapping algorithms for the eigenvalue problem
Poleswapping algorithms, which are generalizations of the QZ algorithm ...
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Jaccard Filtration and Stable Paths in the Mapper
The contributions of this paper are twofold. We define a new filtration...
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Poleswapping algorithms for alternating and palindromic eigenvalue problems
Poleswapping algorithms are generalizations of bulgechasing algorithms...
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Uniformly consistently estimating the proportion of false null hypotheses for composite null hypotheses via LebesgueStieltjes integral equations
This is the second part of the series on constructing uniformly consiste...
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Activity2Vec: Learning ADL Embeddings from Sensor Data with a SequencetoSequence Model
Recognizing activities of daily living (ADLs) plays an essential role in...
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MultiPurposing Domain Adaptation Discriminators for Pseudo Labeling Confidence
Often domain adaptation is performed using a discriminator (domain class...
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XFake: Explainable Fake News Detector with Visualizations
In this demo paper, we present the XFake system, an explainable fake new...
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Mindful Active Learning
We propose a novel active learning framework for activity recognition us...
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Washington State University
SUSTAINING HEALTHScientists look for practices to thwart antimicrobial resistanceEfforts focused on Africa, drug resistant tuberculosis and other bacteria. TRANSFORMATIVE EDUCATIONFive graduate students win NSF research fellowshipsThe students were chosen from more than 13,000 applicants nationwide. FOOD PRODUCTIONPlant inner workings point way to more nutritious cropsFindings cap two decades of research. SUSTAINABLE RESOURCESWolcott named to DOE's, USDA's biomass research panelCommittee advises on issues related to advancing bioenergy technologies. ADVANCING HEALTHMechanism triggers spread of prostate cancer to bonesPharmacy professor finds that prostate cancer cells hijack the body's bone maintenance, facilitating the ... » More ...