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Sep 19, 2019
Cryptography and Security
Machine Learning

Kinetic Song Comprehension: Deciphering Personal Listening Habits via…

Music is an expression of our identity, showing a significant correlation with other personal traits, beliefs, and habits. If accessed by a malicious…
Sep 19, 2019
By tshenaa
Computer Vision

Self-Supervised Learning of Depth and Motion Under Photometric Inco…

The self-supervised learning of depth and pose from monocular sequences provides an attractive solution by using the photometric consistency of nearb…
Sep 19, 2019
Robotics

How to Evaluate Self-Driving Testing Ground? A Quantitative Approach

Testing ground has been a critical component in testing and validation for Connected and Automated Vehicles, or CAV. Although quite a few world-class…
Sep 19, 2019
Human-Computer Interaction

Open Challenges of Blind People using Smartphones

Blind people face significant challenges when using smartphones. The focus on improving non-visual mobile accessibility has been at the level of touc…
Sep 19, 2019
By nagar
Artificial Intelligence
Machine Learning
Neural and Evolutionary Computation

Learning Optimal and Near-Optimal Lexicographic Preference Lists

We consider learning problems of an intuitive and concise preference model, called lexicographic preference lists (LP-lists). Given a set of examples…
Sep 19, 2019
By jmgomez
Artificial Intelligence
Computation and Language
Computer Vision

Look, Read and Enrich. Learning from Scientific Figures and their C…

Compared to natural images, understanding scientific figures is particularly hard for machines. However, there is a valuable source of information in…
Sep 19, 2019
Machine Learning
Artificial Intelligence

Highlighting Bias with Explainable Neural-Symbolic Visual Reasoning

Many high-performance models suffer from a lack of interpretability. There has been an increasing influx of work on explainable artificial intelligen…
Sep 19, 2019
Artificial Intelligence
Human-Computer Interaction

Human-In-The-Loop Learning of Qualitative Preference Models

In this work, we present a novel human-in-the-loop framework to help the human user understand the decision making process that involves choosing pre…
Sep 19, 2019
By maliang
Networking and Internet Architecture
Machine Learning

MACS: Deep Reinforcement Learning based SDN Controller Synchronizatio…

In distributed software-defined networks (SDN), multiple physical SDN controllers, each managing a network domain, are implemented to balance central…
Sep 19, 2019
Computer Vision
Computation and Language

Adaptively Aligned Image Captioning via Adaptive Attention Time

Recent neural models for image captioning usually employs an encoder-decoder framework with attention mechanism. However, the attention mechanism in …
Sep 19, 2019
Computer Vision
Graphics

Learning to Think Outside the Box: Wide-Baseline Light Field Depth …

We propose a method for depth estimation from light field data, based on a fully convolutional neural network architecture. Our goal is to design a p…
Sep 19, 2019
Computer Vision

Self-Supervised Monocular Depth Hints

Monocular depth estimators can be trained with various forms of self-supervision from binocular-stereo data to circumvent the need for high-quality l…
Sep 19, 2019
Cryptography and Security
Machine Learning

Detecting malicious logins as graph anomalies

Authenticated lateral movement via compromised accounts is a common adversarial maneuver that is challenging to discover with signature- or rules-bas…
Sep 19, 2019
Robotics

SL1M: Sparse L1-norm Minimization for contact planning on uneven terr…

One of the main challenges of planning legged locomotion in complex environments is the combinatorial contact selection problem. Recent contributions…
Sep 19, 2019
By lqiang
Machine Learning
Computer Vision

Training Robust Deep Neural Networks via Adversarial Noise Propagation

Deep neural networks have been found vulnerable to noises like adversarial examples and corruption in practice. A number of adversarial defense metho…
Sep 19, 2019
By opitz
Computation and Language

Argumentative Relation Classification as Plausibility Ranking

We formulate argumentative relation classification (support vs. attack) as a text-plausibility ranking task. To this aim, we propose a simple reconst…
Sep 19, 2019
Audio and Speech Processing
Machine Learning
Sound

WEnets: A Convolutional Framework for Evaluating Audio Waveforms

We describe a new convolutional framework for waveform evaluation, WEnets, and build a Narrowband Audio Waveform Evaluation Network, or NAWEnet, usin…
Sep 19, 2019
Machine Learning

Shape and Time Distortion Loss for Training Deep Time Series Forecast…

This paper addresses the problem of time series forecasting for non-stationary signals and multiple future steps prediction. To handle this challengi…
Sep 19, 2019
Computation and Language

A Random Gossip BMUF Process for Neural Language Modeling

LSTM language model is an essential component of industrial ASR systems. One important challenge of training an LSTM language model is how to scale o…
Sep 19, 2019
Signal Processing
Computer Vision
Image and Video Processing
Medical Physics

APIR-Net: Autocalibrated Parallel Imaging Reconstruction using a Neur…

Deep learning has been successfully demonstrated in MRI reconstruction of accelerated acquisitions. However, its dependence on representative trainin…
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