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Jul 16, 2019
Machine Learning
Computer Vision

Natural Adversarial Examples

We introduce natural adversarial examples -- real-world, unmodified, and naturally occurring examples that cause classifier accuracy to significantly…
Jul 16, 2019
Computer Vision
Machine Learning

On the ''steerability" of generative adversarial networks

An open secret in contemporary machine learning is that many models work beautifully on standard benchmarks but fail to generalize outside the lab. T…
Jul 16, 2019
By deeksha
Data Structures and Algorithms
Machine Learning
Numerical Analysis
Optimization and Control

Fast, Provably convergent IRLS Algorithm for p-norm Linear Regression

Linear regression in $\ell_p$-norm is a canonical optimization problem that arises in several applications, including sparse recovery, semi-supervise…
Jul 16, 2019
By ygoyal
Machine Learning
Computer Vision

Explaining Classifiers with Causal Concept Effect (CaCE)

How can we understand classification decisions made by deep neural nets? We propose answering this question by using ideas from causal inference. We …
Jul 16, 2019
By yusalin
Computer Vision

Predicting Next-Season Designs on High Fashion Runway

Fashion is a large and fast-changing industry. Foreseeing the upcoming fashion trends is beneficial for fashion designers, consumers, and retailers. …
Jul 16, 2019
By yu.chen
Computer Vision
Robotics
Image and Video Processing

EnforceNet: Monocular Camera Localization in Large Scale Indoor Spars…

Pose estimation is a fundamental building block for robotic applications such as autonomous vehicles, UAV, and large scale augmented reality. It is a…
Jul 16, 2019
Machine Learning
Cryptography and Security

The Tradeoff Between Privacy and Accuracy in Anomaly Detection Using …

Privacy has raised considerable concerns recently, especially with the advent of information explosion and numerous data mining techniques to explore…
Jul 16, 2019
Computer Vision
Machine Learning

Efficient Segmentation: Learning Downsampling Near Semantic Boundaries

Many automated processes such as auto-piloting rely on a good semantic segmentation as a critical component. To speed up performance, it is common to…
Jul 16, 2019
Image and Video Processing
Computer Vision

Anatomically-Informed Multiple Linear Assignment Problems for White …

Segmenting white matter bundles from human tractograms is a task of interest for several applications. Current methods for bundle segmentation consid…
Jul 16, 2019
Neural and Evolutionary Computation

Prediction of neural network performance by phenotypic modeling

Surrogate models are used to reduce the burden of expensive-to-evaluate objective functions in optimization. By creating models which map genomes to …
Jul 16, 2019
By dougb5
Computation and Language

RadioTalk: a large-scale corpus of talk radio transcripts

We introduce RadioTalk, a corpus of speech recognition transcripts sampled from talk radio broadcasts in the United States between October of 2018 an…
Jul 16, 2019
Machine Learning
Neural and Evolutionary Computation

Selection Heuristics on Semantic Genetic Programming for Classificati…

In a steady-state evolution, tournament selection traditionally uses the fitness function to select the parents, and negative selection chooses an in…
Jul 16, 2019
Machine Learning

SGD momentum optimizer with step estimation by online parabola model

In stochastic gradient descent, especially for neural network training, there are currently dominating first order methods: not modeling local distan…
Jul 16, 2019
By erlik
Computer Vision

How much real data do we actually need: Analyzing object detection …

In recent years, deep learning models have resulted in a huge amount of progress in various areas, including computer vision. By nature, the supervis…
Jul 16, 2019
Robotics

A Quadrotor with an Origami-Inspired Protective Mechanism

Despite advances in localization and navigation, aerial robots inevitably remain susceptible to accidents and collisions. In this work, we propose a …
Jul 16, 2019
Computer Vision
Machine Learning
Robotics

Pedestrian Tracking by Probabilistic Data Association and Corresponde…

This paper studies the interplay between kinematics (position and velocity) and appearance cues for establishing correspondences in multi-target pede…
Jul 16, 2019
Econometric
Machine Learning

Information processing constraints in travel behaviour modelling: A …

Travel decisions tend to exhibit sensitivity to uncertainty and information processing constraints. These behavioural conditions can be characterized…
Jul 16, 2019
Computer Vision

Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left …

Training deep convolutional neural networks usually requires a large amount of labeled data. However, it is expensive and time-consuming to annotate …
Jul 16, 2019
Robotics
Artificial Intelligence
Machine Learning
Neural and Evolutionary Computation

Adaptive Prior Selection for Repertoire-based Online Learning in Ro…

Among the data-efficient approaches for online adaptation in robotics (meta-learning, model-based reinforcement learning, etc.), repertoire-based lea…
Jul 16, 2019
By wuboxi
Computer Vision

Improving Semantic Segmentation via Dilated Affinity

Introducing explicit constraints on the structural predictions has been an effective way to improve the performance of semantic segmentation models. …
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