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Jul 13, 2018
Robotics
Artificial Intelligence

This paper discussed the LTA-related challenges in different areas of AI and the importance of system-level integration for unlocking the potential of AI technologies. In addition, we see the following major future challenges for LTA systems in re...

Artificial Intelligence for Long-Term Robot Autonomy: A Survey

Autonomous systems will play an essential role in many applications across diverse domains including space, marine, air, field, road, and service r...
Jul 13, 2018
By sc41
Machine Learning
Computational Physics

Parametric generation of conditional geological realizations using ...

We introduce a method for parametric generation of conditional geological realizations using generative neural networks. We build on our recent wor...
Jul 13, 2018
By thangvu
Computation and Language

Low-Resource Text Classification using Domain-Adversarial Learning

Deep learning techniques have recently shown to be successful in many natural language processing tasks forming state-of-the-art systems. They requ...
Jul 13, 2018
Computer Vision
Machine Learning

Large-Scale Visual Speech Recognition

This work presents a scalable solution to open-vocabulary visual speech recognition. To achieve this, we constructed the largest existing visual sp...
Jul 13, 2018
By skvara
Machine Learning

In this paper, a selection of deep generative models adopted for anomaly detection were compared against traditional methods of k-nearest neighbours and Isolation Forests. This was done in a systematic way on a large number of benchmark datasets. ...

Are generative deep models for novelty detection truly better?

Many deep models have been recently proposed for anomaly detection. This paper presents comparison of selected generative deep models and classical...
Jul 13, 2018
Computer Vision

Multi-Scale Convolutional-Stack Aggregation for Robust White Matter...

Segmentation of both large and small white matter hyperintensities/lesions in brain MR images is a challenging task which has drawn much attention ...
Jul 13, 2018
Computation and Language

New/s/leak 2.0 - Multilingual Information Extraction and Visualizat...

Investigative journalism in recent years is confronted with two major challenges: 1) vast amounts of unstructured data originating from large text ...
Jul 13, 2018
By smurty
Computation and Language

Hierarchical Losses and New Resources for Fine-grained Entity Typin...

Extraction from raw text to a knowledge base of entities and fine-grained types is often cast as prediction into a flat set of entity and type labe...
Jul 13, 2018
Computer Vision

Learning-based Natural Geometric Matching with Homography Prior

Geometric matching is a key step in computer vision tasks. Previous learning-based methods for geometric matching concentrate more on improving ali...
Jul 13, 2018
By rliaw
Machine Learning
Distributed
Parallel
and Cluster Computing

Tune: A Research Platform for Distributed Model Selection and Training

Modern machine learning algorithms are increasingly computationally demanding, requiring specialized hardware and distributed computation to achiev...
Jul 13, 2018
By mhg
Computer Vision

Newton-Krylov PDE-constrained LDDMM in the space of band-limited ve...

PDE-constrained Large Deformation Diffeomorphic Metric Mapping is a particularly interesting framework of physically meaningful diffeomorphic regis...
Jul 13, 2018
Artificial Intelligence
Human-Computer Interaction

Exploring Hierarchy-Aware Inverse Reinforcement Learning

We introduce a new generative model for human planning under the Bayesian Inverse Reinforcement Learning (BIRL) framework which takes into account ...
Jul 13, 2018
Machine Learning

DNN's Sharpest Directions Along the SGD Trajectory

Recent work has identified that using a high learning rate or a small batch size for Stochastic Gradient Descent (SGD) based training of deep neura...
Jul 13, 2018
Computation and Language

Multi-task dialog act and sentiment recognition on Mastodon

Because of license restrictions, it often becomes impossible to strictly reproduce most research results on Twitter data already a few months after...
Jul 13, 2018
By navingo
Machine Learning
Data Structures and Algorithms
Information Theory

In the next claim, we bound the number of gradient steps we need to take to find the Gaussian subspace.

Non-Gaussian Component Analysis using Entropy Methods

Non-Gaussian component analysis (NGCA) is a problem in multidimensional data analysis. Since its formulation in 2006, NGCA has attracted considerab...
Jul 13, 2018
By leizy16
Computation and Language

A Multi-sentiment-resource Enhanced Attention Network for Sentiment...

Deep learning approaches for sentiment classification do not fully exploit sentiment linguistic knowledge. In this paper, we propose a Multi-sentim...
Jul 13, 2018
Distributed
Parallel
and Cluster Computing

Tools for Analyzing Parallel I/O

Parallel application I/O performance often does not meet user expectations. Additionally, slight access pattern modifications may lead to significa...
Jul 13, 2018
Audio and Speech Processing
Computation and Language
Sound

Hybrid CTC-Attention based End-to-End Speech Recognition using Subw...

In this paper, we present an end-to-end automatic speech recognition system, which successfully employs subword units in a hybrid CTC-Attention bas...
Jul 13, 2018
By sbeery
Computer Vision

Recognition in Terra Incognita

It is desirable for detection and classification algorithms to generalize to unfamiliar environments, but suitable benchmarks for quantitatively st...
Jul 13, 2018
Machine Learning
Artificial Intelligence
Computer Vision

Deep Learning in the Wild

Deep learning with neural networks is applied by an increasing number of people outside of classic research environments, due to the vast success o...
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