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Nov 18, 2019
Computation and Language
Machine Learning

Drug Repurposing for Cancer: An NLP Approach to Identify Low-Cost T…

More than 200 generic drugs approved by the U.S. Food and Drug Administration for non-cancer indications have shown promise for treating cancer. Due …
Nov 18, 2019
Computer Vision

Unsupervised Representation Learning by Discovering Reliable Image …

Learning robust representations that allow to reliably establish relations between images is of paramount importance for virtually all of computer vi…
Nov 18, 2019
Computer Vision

Action Anticipation with RBF KernelizedFeature Mapping RNN

We introduce a novel Recurrent Neural Network-based algorithm for future video feature generation and action anticipation called feature mapping RNN.…
Nov 18, 2019
Machine Learning

A Simple Heuristic for Bayesian Optimization with A Low Budget

The aim of black-box optimization is to optimize an objective function within the constraints of a given evaluation budget. In this problem, it is ge…
Nov 18, 2019
Computer Vision

AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and …

This paper reviews the AIM 2019 challenge on real world super-resolution. It focuses on the participating methods and final results. The challenge ad…
Nov 18, 2019
Computer Vision

DeepPFCN: Deep Parallel Feature Consensus Network For Person Re-Ide…

Person re-identification aims to associate images of the same person over multiple non-overlapping camera views at different times. Depending on the …
Nov 18, 2019
Computer Vision

MaskedFusion: Mask-based 6D Object Pose Detection

MaskedFusion is a framework to estimate 6D pose of objects using RGB-D data, with an architecture that leverages multiple stages in a pipeline to ach…
Nov 18, 2019
Robotics

A gamified simulator and physical platform for self-driving algorithm…

We identify the need for a gamified self-driving simulator where game mechanics encourage high-quality data capture, and design and apply such a simu…
Nov 18, 2019
Networking and Internet Architecture
Machine Learning
Performance

We have discussed the use-cases for VNF profiling and investigated which methods work best to model VNF performance. Using four different VNF implementations we have quantified the accuracy of the investigated methods. Although widely used in variou…

Profile-based Resource Allocation for Virtualized Network Functions

The virtualization of compute and network resources enables an unseen flexibility for deploying network services. A wide spectrum of emerging technol…
Nov 18, 2019
Computer Vision
Machine Learning
Image and Video Processing

Modeling Gestalt Visual Reasoning on the Raven's Progressive Matrices…

Psychologists recognize Raven's Progressive Matrices as a very effective test of general human intelligence. While many computational models have bee…
Nov 18, 2019
Neural and Evolutionary Computation
Machine Learning

ImmuNeCS: Neural Committee Search by an Artificial Immune System

Current Neural Architecture Search techniques can suffer from a few shortcomings, including high computational cost, excessive bias from the search s…
Nov 18, 2019
Machine Learning
Distributed
Parallel
and Cluster Computing

SySCD: A System-Aware Parallel Coordinate Descent Algorithm

In this paper we propose a novel parallel stochastic coordinate descent (SCD) algorithm with convergence guarantees that exhibits strong scalability.…
Nov 18, 2019
Machine Learning

Program synthesis performance constrained by non-linear spatial rel…

Despite remarkable advances in automated visual recognition by machines, some visual tasks remain challenging for machines. Fleuret et al. (2011) int…
Nov 18, 2019
Machine Learning
Computer Vision
Information Retrieval

The Effectiveness of Variational Autoencoders for Active Learning

The high cost of acquiring labels is one of the main challenges in deploying supervised machine learning algorithms. Active learning is a promising a…
Nov 18, 2019
Artificial Intelligence

Inducing Cooperation via Team Regret Minimization based Multi-Agent D…

Existing value-factorized based Multi-Agent deep Reinforce-ment Learning (MARL) approaches are well-performing invarious multi-agent cooperative envi…
Nov 18, 2019
Machine Learning

Feedback Control for Online Training of Neural Networks

Convolutional neural networks (CNNs) are commonly used for image classification tasks, raising the challenge of their application on data flows. Duri…
Nov 18, 2019
Computer Vision

Affine Self Convolution

Attention mechanisms, and most prominently self-attention, are a powerful building block for processing not only text but also images. These provide …
Nov 18, 2019
Human-Computer Interaction

Making Privacy Graspable: Can we Nudge Users to use Privacy Enhancing…

Smart speakers are gaining popularity. However, such devices can put the user's privacy at risk whenever hot-words are misinterpreted and voice data …
Nov 18, 2019
Information Retrieval
Machine Learning
Neural and Evolutionary Computation

A Troubling Analysis of Reproducibility and Progress in Recommender …

The design of algorithms that generate personalized ranked item lists is a central topic of research in the field of recommender systems. In the past…
Nov 18, 2019
Machine Learning

A Multi-Task Gradient Descent Method for Multi-Label Learning

Multi-label learning studies the problem where an instance is associated with a set of labels. By treating single-label learning problem as one task,…
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