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Dec 10, 2019
Machine Learning

Statistically Robust Neural Network Classification

Recently there has been much interest in quantifying the robustness of neural network classifiers through adversarial risk metrics. However, for prob…
Dec 10, 2019
Machine Learning

Deep symbolic regression: Recovering mathematical expressions from da…

Discovering the underlying mathematical expressions describing a dataset is a core challenge for artificial intelligence. This is the problem of symb…
Dec 10, 2019
Machine Learning
Numerical Analysis

Robust Training and Initialization of Deep Neural Networks: An Adapti…

Motivated by the gap between theoretical optimal approximation rates of deep neural networks (DNNs) and the accuracy realized in practice, we seek to…
Dec 10, 2019
Human-Computer Interaction
Computation and Language
Machine Learning

Embedding Comparator: Visualizing Differences in Global Structure and…

Embeddings -- mappings from high-dimensional discrete input to lower-dimensional continuous vector spaces -- have been widely adopted in machine lear…
Dec 10, 2019
Machine Learning

Magnitude and Uncertainty Pruning Criterion for Neural Networks

Neural networks have achieved dramatic improvements in recent years and depict the state-of-the-art methods for many real-world tasks nowadays. One d…
Dec 10, 2019
Audio and Speech Processing
Machine Learning

Quantifying the Chaos Level of Infants' Environment via Unsupervised …

Acoustic environments vary dramatically within the home setting. They can be a source of comfort and tranquility or chaos that can lead to less optim…
Dec 10, 2019
Computer Vision
Machine Learning

Scalability in Perception for Autonomous Driving: An Open Dataset B…

The research community has increasing interest in autonomous driving research, despite the resource intensity of obtaining representative real world …
Dec 10, 2019
Human-Computer Interaction
Cryptography and Security
Machine Learning

Snoopy: Sniffing Your Smartwatch Passwords via Deep Sequence Learning

Demand for smartwatches has taken off in recent years with new models which can run independently from smartphones and provide more useful features, …
Dec 10, 2019
Machine Learning
Information Retrieval

Feature Relevance Determination for Ordinal Regression in the Context…

Advances in machine learning technologies have led to increasingly powerful models in particular in the context of big data. Yet, many application sc…
Dec 10, 2019
Machine Learning
Neural and Evolutionary Computation
Data Analysis
Statistics and Probability

Integration of Neural Network-Based Symbolic Regression in Deep Learn…

Symbolic regression is a powerful technique that can discover analytical equations that describe data, which can lead to explainable models and gener…
Dec 10, 2019
Machine Learning
Chemical Physics
Biomolecules

libmolgrid: GPU Accelerated Molecular Gridding for Deep Learning Ap…

There are many ways to represent a molecule as input to a machine learning model and each is associated with loss and retention of certain kinds of i…
Dec 10, 2019
Computer Vision

Detection of Collision-Prone Vehicle Behavior at Intersections using …

As a large proportion of road accidents occur at intersections, monitoring traffic safety of intersections is important. Existing approaches are desi…
Dec 10, 2019
Computer Vision

Learning Depth-Guided Convolutions for Monocular 3D Object Detection

3D object detection from a single image without LiDAR is a challenging task due to the lack of accurate depth information. Conventional 2D convolutio…
Dec 10, 2019
Machine Learning

On Certifying Robust Models by Polyhedral Envelope

Certifying neural networks enables one to offer guarantees on a model's robustness. In this work, we use linear approximation to obtain an upper and …
Dec 10, 2019
Human-Computer Interaction
Computers and Society
Machine Learning
Image and Video Processing

edBB: Biometrics and Behavior for Assessing Remote Education

We present a platform for student monitoring in remote education consisting of a collection of sensors and software that capture biometric and behavi…
Dec 10, 2019
Machine Learning
Computer Vision

Removable and/or Repeated Units Emerge in Overparametrized Deep Neura…

Deep neural networks (DNNs) perform well on a variety of tasks despite the fact that most networks used in practice are vastly overparametrized and e…
Dec 10, 2019
Computation and Language

GeBioToolkit: Automatic Extraction of Gender-Balanced Multilingual …

We introduce GeBioToolkit, a tool for extracting multilingual parallel corpora at sentence level, with document and gender information from Wikipedia…
Dec 10, 2019
Computer Vision

Pillar in Pillar: Multi-Scale and Dynamic Feature Extraction for 3D …

Sparsity and varied density are two of the main obstacles for 3D detection networks with point clouds. In this paper, we present a multi-scale voxeli…
Dec 10, 2019
Human-Computer Interaction
Signal Processing

Is Your Smartband Smart Enough to Know Who You Are: Towards Continuou…

The use of cloud services that process privacy-sensitive information such as digital banking, pervasive healthcare, smart home applications require a…
Dec 10, 2019
Computer Vision

Efficient Differentiable Neural Architecture Search with Meta Kernels

The searching procedure of neural architecture search (NAS) is notoriously time consuming and cost prohibitive.To make the search space continuous, m…
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