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Nov 14, 2019
Machine Learning
Optimization and Control

Gradientless Descent: High-Dimensional Zeroth-Order Optimization

Zeroth-order optimization is the process of minimizing an objective $f(x)$, given oracle access to evaluations at adaptively chosen inputs $x$. In th…
Nov 14, 2019
Signal Processing
Machine Learning

Real-time Anomaly Detection and Classification in Streaming PMU Data

Ensuring secure and reliable operations of the power grid is a primary concern of system operators. Phasor measurement units (PMUs) are rapidly being…
Nov 14, 2019
Databases
Computation and Language
Machine Learning

Sato: Contextual Semantic Type Detection in Tables

Detecting the semantic types of data columns in relational tables is important for various data preparation and information retrieval tasks such as d…
Nov 14, 2019
Machine Learning
Systems and Control
Signal Processing

Deep Reinforcement Learning for Adaptive Traffic Signal Control

Many existing traffic signal controllers are either simple adaptive controllers based on sensors placed around traffic intersections, or optimized by…
Nov 14, 2019
Machine Learning
Cryptography and Security
Signal Processing

In this paper, three different variants of generative adversarial networks (GANs) are used to improve domain generation by making the domains more difficult for machine learning algorithms to detect. The domains generated by traditional DGAs and the…

DomainGAN: Generating Adversarial Examples to Attack Domain Generatio…

Domain Generation Algorithms (DGAs) are frequently used to generate large numbers of domains for use by botnets. These domains are often used as rend…
Nov 14, 2019
Robotics
Computer Vision
Machine Learning

Self-Supervised Learning of State Estimation for Manipulating Deforma…

We demonstrate model-based, visual robot manipulation of linear deformable objects. Our approach is based on a state-space representation of the phys…
Nov 14, 2019
Computer Vision

Harnessing spatial MRI normalization: patch individual filter layers …

Neuroimaging studies based on magnetic resonance imaging (MRI) typically employ rigorous forms of preprocessing. Images are spatially normalized to a…
Nov 14, 2019
Neural and Evolutionary Computation
Neurons and Cognition

LGN-CNN: a biologically inspired CNN architecture

In this paper we introduce a biologically inspired CNN architecture that has a first convolutional layer that mimics the role of the LGN. The first l…
Nov 14, 2019
Machine Learning

A regression algorithm for accelerated lattice QCD that exploits spar…

We propose a regression algorithm that utilizes a learned dictionary optimized for sparse inference on D-Wave quantum annealer. In this regression al…
Nov 14, 2019
Sound
Machine Learning
Audio and Speech Processing

Speaker independence of neural vocoders and their effect on parametri…

Traditional speech enhancement systems produce speech with compromised quality. Here we propose to use the high quality speech generation capability …
Nov 14, 2019
Machine Learning

Restricted Boltzmann Machines for galaxy morphology classification wi…

We present the application of Restricted Boltzmann Machines (RBMs) to the task of astronomical image classification using a quantum annealer built by…
Nov 14, 2019
Computer Vision
Computation and Language

Iterative Answer Prediction with Pointer-Augmented Multimodal Trans…

Many visual scenes contain text that carries crucial information, and it is thus essential to understand text in images for downstream reasoning task…
Nov 14, 2019
Machine Learning
Information Theory
Signal Processing

ViWi: A Deep Learning Dataset Framework for Vision-Aided Wireless C…

The growing role that artificial intelligence and specifically machine learning is playing in shaping the future of wireless communications has opene…
Nov 14, 2019
Machine Learning
Applications

Unreliable Multi-Armed Bandits: A Novel Approach to Recommendation …

We use a novel modification of Multi-Armed Bandits to create a new model for recommendation systems. We model the recommendation system as a bandit s…
Nov 14, 2019
Robotics

Generalized Flexible Hybrid Cable-Driven Robot (HCDR): Modeling, Co…

This paper presents a generalized flexible Hybrid Cable-Driven Robot (HCDR). For the proposed HCDR, the derivation of the equations of motion and pro…
Nov 14, 2019
Image and Video Processing
Computer Vision
Machine Learning

Dectecting Invasive Ductal Carcinoma with Semi-Supervised Conditional…

Invasive ductal carcinoma (IDC) comprises nearly 80% of all breast cancers. The detection of IDC is a necessary preprocessing step in determining the…
Nov 14, 2019
Statistics Theory
Machine Learning

Sparse Density Estimation with Measurement Errors

This paper aims to build an estimate of an unknown density of the data with measurement error as a linear combination of functions of a dictionary. I…
Nov 14, 2019
Signal Processing
Machine Learning
Systems and Control

Deep Learning for Over-the-Air Non-Orthogonal Signal Classification

Non-cooperative communications, where a receiver can automatically distinguish and classify transmitted signal formats prior to detection, are desira…
Nov 14, 2019
Computer Vision

EdgeNet: Balancing Accuracy and Performance for Edge-based Convolutio…

Visual intelligence at the edge is becoming a growing necessity for low latency applications and situations where real-time decision is vital. Object…
Nov 14, 2019
Machine Learning

In this work Bayesian deep learning was successfully applied to RUL estimation in the context of condition-based maintenance. The notion of epistemic uncertainty was introduced and it was shown how to quantify it by means of the Bayesian framework. …

A Comparative Study between Bayesian and Frequentist Neural Networks …

In the last decade, deep learning (DL) has outperformed model-based and statistical approaches in predicting the remaining useful life (RUL) of machi…
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