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Jan 21, 2020
Machine Learning
Computer Vision

FixMatch: Simplifying Semi-Supervised Learning with Consistency and …

Semi-supervised learning (SSL) provides an effective means of leveraging unlabeled data to improve a model's performance. In this paper, we demonstra…
Jan 21, 2020
Robotics

Iterator-Based Temporal Logic Task Planning

Temporal logic task planning for robotic systems suffers from state explosion when specifications involve large numbers of discrete locations. We pro…
Jan 21, 2020
Image and Video Processing
Computer Vision

SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segme…

Medical image segmentation is a difficult but important task for many clinical operations such as cardiac bi-ventricular volume estimation. More rece…
Jan 21, 2020
Machine Learning
Social and Information Networks

Mobility Inference on Long-Tailed Sparse Trajectory

Analyzing the urban trajectory in cities has become an important topic in data mining. How can we model the human mobility consisting of stay and tra…
Jan 21, 2020
Machine Learning
Computer Vision

Generate High-Resolution Adversarial Samples by Identifying Effective…

As the prevalence of deep learning in computer vision, adversarial samples that weaken the neural networks emerge in large numbers, revealing their d…
Jan 21, 2020
Machine Learning
Computer Vision

batchboost: regularization for stabilizing training with resistance t…

Overfitting & underfitting and stable training are an important challenges in machine learning. Current approaches for these issues are mixup, Sample…
Jan 21, 2020
Computation and Language
Artificial Intelligence
Machine Learning

Improving Interaction Quality Estimation with BiLSTMs and the Impact …

Learning suitable and well-performing dialogue behaviour in statistical spoken dialogue systems has been in the focus of research for many years. Whi…
Jan 21, 2020
Machine Learning
Computer Vision

Motif Difference Field: A Simple and Effective Image Representation o…

Time series motifs play an important role in the time series analysis. The motif-based time series clustering is used for the discovery of higher-ord…
Jan 21, 2020
Computer Vision

Geometric Proxies for Live RGB-D Stream Enhancement and Consolidation

We propose a geometric superstructure for unified real-time processing of RGB-D data. Modern RGB-D sensors are widely used for indoor 3D capture, wit…
Jan 21, 2020
Image and Video Processing
Computer Vision
Machine Learning

Multimodal Deep Unfolding for Guided Image Super-Resolution

The reconstruction of a high resolution image given a low resolution observation is an ill-posed inverse problem in imaging. Deep learning methods re…
Jan 21, 2020
Computation and Language

Generating Sense Embeddings for Syntactic and Semantic Analogy for …

Word embeddings are numerical vectors which can represent words or concepts in a low-dimensional continuous space. These vectors are able to capture …
Jan 21, 2020
Artificial Intelligence

Implementations in Machine Ethics: A Survey

Increasingly complex and autonomous systems require machine ethics to maximize the benefits and minimize the risks to society arising from the new te…
Jan 21, 2020
Machine Learning
Computation and Language

R2DE: a NLP approach to estimating IRT parameters of newly generated …

The main objective of exams consists in performing an assessment of students' expertise on a specific subject. Such expertise, also referred to as sk…
Jan 21, 2020
Machine Learning

Classifying Wikipedia in a fine-grained hierarchy: what graphs can …

Wikipedia is a huge opportunity for machine learning, being the largest semi-structured base of knowledge available. Because of this, countless works…
Jan 21, 2020
Artificial Intelligence

AI Trust in business processes: The need for process-aware explanatio…

Business processes underpin a large number of enterprise operations including processing loan applications, managing invoices, and insurance claims. …
Jan 21, 2020
Computation and Language
Artificial Intelligence

Domain-Aware Dialogue State Tracker for Multi-Domain Dialogue Systems

In task-oriented dialogue systems the dialogue state tracker (DST) component is responsible for predicting the state of the dialogue based on the dia…
Jan 21, 2020
Artificial Intelligence
Distributed
Parallel
and Cluster Computing

Combining Federated and Active Learning for Communication-efficient …

Machine Learning has proven useful in the recent years as a way to achieve failure prediction for industrial systems. However, the high computational…
Jan 21, 2020
Robotics
Computer Vision

Joint Learning of Instance and Semantic Segmentation for Robotic Pi…

We present joint learning of instance and semantic segmentation for visible and occluded region masks. Sharing the feature extractor with instance oc…
Jan 21, 2020
Robotics
Computer Vision

Instance Segmentation of Visible and Occluded Regions for Finding and…

We present a robotic system for picking a target from a pile of objects that is capable of finding and grasping the target object by removing obstacl…
Jan 21, 2020
Computer Vision
Image and Video Processing

P$^2$-GAN: Efficient Style Transfer Using Single Style Image

Style transfer is a useful image synthesis technique that can re-render given image into another artistic style while preserving its content informat…
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