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Jan 24, 2020
Machine Learning
Artificial Intelligence

StageNet: Stage-Aware Neural Networks for Health Risk Prediction

Deep learning has demonstrated success in health risk prediction especially for patients with chronic and progressing conditions. Most existing works…
Jan 24, 2020
Robotics
Dynamical Systems

Singularity-Free Inverse Dynamics for Underactuated Systems with a …

Underactuated systems consist of passive bodies/joints that don't have any active torque. To control these systems through inverse dynamics, the iner…
Jan 24, 2020
Software Engineering
Artificial Intelligence

Advaita: Bug Duplicity Detection System

Bugs are prevalent in software development. To improve software quality, bugs are filed using a bug tracking system. Properties of a reported bug wou…
Jan 24, 2020
Machine Learning
Artificial Intelligence

Ballooning Multi-Armed Bandits

In this paper, we introduce Ballooning Multi-Armed Bandits (BL-MAB), a novel extension to the classical stochastic MAB model. In BL-MAB model, the se…
Jan 22, 2020
Information Retrieval
Machine Learning

MetaSelector: Meta-Learning for Recommendation with User-Level Adapti…

Recommender systems often face heterogeneous datasets containing highly personalized historical data of users, where no single model could give the b…
Jan 22, 2020
Information Retrieval
Machine Learning

SANST: A Self-Attentive Network for Next Point-of-Interest Recommen…

Next point-of-interest (POI) recommendation aims to offer suggestions on which POI to visit next, given a user's POI visit history. This problem has …
Jan 22, 2020
Machine Learning
Artificial Intelligence
Multiagent Systems

On Solving Cooperative MARL Problems with a Few Good Experiences

Cooperative Multi-agent Reinforcement Learning (MARL) is crucial for cooperative decentralized decision learning in many domains such as search and r…
Jan 22, 2020
Robotics
Machine Learning

On Simple Reactive Neural Networks for Behaviour-Based Reinforcement …

We present a behaviour-based reinforcement learning approach, inspired by Brook's subsumption architecture, in which simple fully connected networks …
Jan 22, 2020
Computer Vision

ImageBERT: Cross-modal Pre-training with Large-scale Weak-supervised …

In this paper, we introduce a new vision-language pre-trained model -- ImageBERT -- for image-text joint embedding. Our model is a Transformer-based …
Jan 22, 2020
Computer Vision

A Fixation-based 360° Benchmark Dataset for Salient Object Detection

Fixation prediction (FP) in panoramic contents has been widely investigated along with the booming trend of virtual reality (VR) applications. Howeve…
Jan 22, 2020
Econometric
Machine Learning

Oracle Efficient Estimation of Structural Breaks in Cointegrating R…

In this paper, we propose an adaptive group lasso procedure to efficiently estimate structural breaks in cointegrating regressions. It is well-known …
Jan 22, 2020
Human-Computer Interaction
Computers and Society

augKlimb: Interactive Data-Led Augmentation of Bouldering Training

Climbing is a popular and growing sport, especially indoors, where climbers can train on man-made routes using artificial holds. Both strength and go…
Jan 22, 2020
Signal Processing
Machine Learning

Machine Learning assisted Handover and Resource Management for Cellul…

Enabling cellular connectivity for drones introduces a wide set of challenges and opportunities. Communication of cellular-connected drones is influe…
Jan 22, 2020
Machine Learning
Software Engineering

CodeReef: an open platform for portable MLOps, reusable automation …

We present CodeReef - an open platform to share all the components necessary to enable cross-platform MLOps (MLSysOps), i.e. automating the deploymen…
Jan 22, 2020
Robotics

Safe Robot Navigation via Multi-Modal Anomaly Detection

Navigation in natural outdoor environments requires a robust and reliable traversability classification method to handle the plethora of situations a…
Jan 22, 2020
Social and Information Networks
Cryptography and Security
Machine Learning

Adversarial Attack on Community Detection by Hiding Individuals

It has been demonstrated that adversarial graphs, i.e., graphs with imperceptible perturbations added, can cause deep graph models to fail on node/gr…
Jan 22, 2020
Computer Vision

Optimized Generic Feature Learning for Few-shot Classification across…

To learn models or features that generalize across tasks and domains is one of the grand goals of machine learning. In this paper, we propose to use …
Jan 22, 2020
Machine Learning
Neural and Evolutionary Computation

Get Rid of Suspended Animation Problem: Deep Diffusive Neural Network…

Existing graph neural networks may suffer from the "suspended animation problem" when the model architecture goes deep. Meanwhile, for some graph lea…
Jan 22, 2020
Networking and Internet Architecture
Machine Learning

Reinforcement Learning Based Vehicle-cell Association Algorithm for …

Vehicle-to-everything (V2X) communication is a growing area of communication with a variety of use cases. This paper investigates the problem of vehi…
Jan 22, 2020
Software Engineering
Logic in Computer Science

Benchmarking Symbolic Execution Using Constraint Problems -- Initial …

Symbolic execution is a powerful technique for bug finding and program testing. It is successful in finding bugs in real-world code. The core reasoni…
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