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Jan 22, 2021
Computation and Language

Beyond Domain APIs: Task-oriented Conversational Modeling with Unst…

Most prior work on task-oriented dialogue systems are restricted to a limited coverage of domain APIs, while users oftentimes have domain related req…
Jan 22, 2021
Image and Video Processing
Computer Vision
Machine Learning

Automatic Cerebral Vessel Extraction in TOF-MRA Using Deep Learning

Deep learning approaches may help radiologists in the early diagnosis and timely treatment of cerebrovascular diseases. Accurate cerebral vessel segm…
Jan 22, 2021
Computation and Language
Information Retrieval

Extracting Lifestyle Factors for Alzheimer's Disease from Clinical No…

Since no effective therapies exist for Alzheimer's disease (AD), prevention has become more critical through lifestyle factor changes and interventio…
Jan 22, 2021
Computer Vision
Human-Computer Interaction
Machine Learning

Expression Recognition Analysis in the Wild

Facial Expression Recognition(FER) is one of the most important topic in Human-Computer interactions(HCI). In this work we report details and experim…
Jan 22, 2021
Machine Learning
Economics

Where does the Stimulus go? Deep Generative Model for Commercial Bank…

This paper examines deposits of individuals ("retail") and large companies ("wholesale") in the U.S. banking industry, and how these deposit types ar…
Jan 22, 2021
Machine Learning

Nigraha: Machine-learning based pipeline to identify and evaluate pla…

The Transiting Exoplanet Survey Satellite (TESS) has now been operational for a little over two years, covering the Northern and the Southern hemisph…
Jan 22, 2021
Machine Learning
Image and Video Processing

Continual Learning of Generative Models with Limited Data: From Was…

Learning generative models is challenging for a network edge node with limited data and computing power. Since tasks in similar environments share mo…
Jan 22, 2021
Machine Learning
Computational Finance

Graphical Models for Financial Time Series and Portfolio Selection

We examine a variety of graphical models to construct optimal portfolios. Graphical models such as PCA-KMeans, autoencoders, dynamic clustering, and …
Jan 22, 2021
Software Engineering
Artificial Intelligence

It Takes Two to Tango: Combining Visual and Textual Information for …

When a bug manifests in a user-facing application, it is likely to be exposed through the graphical user interface (GUI). Given the importance of vis…
Jan 22, 2021
Computer Vision

Dense outlier detection and open-set recognition based on training wi…

Deep convolutional models often produce inadequate predictions for inputs foreign to the training distribution. Consequently, the problem of detectin…
Jan 22, 2021
Machine Learning

Tensor-Train Networks for Learning Predictive Modeling of Multidime…

Deep neural networks have attracted the attention of the machine learning community because of their appealing data-driven framework and of their per…
Jan 22, 2021
Neural and Evolutionary Computation
Information Theory
Numerical Analysis

Approximation capability of two hidden layer feedforward neural netwo…

We algorithmically construct a two hidden layer feedforward neural network (TLFN) model with the weights fixed as the unit coordinate vectors of the …
Jan 22, 2021
Multiagent Systems
Machine Learning

Estimating $α$-Rank by Maximizing Information Gain

Game theory has been increasingly applied in settings where the game is not known outright, but has to be estimated by sampling. For example, meta-ga…
Jan 22, 2021
Human-Computer Interaction
Computer Vision

Understanding Visual Saliency in Mobile User Interfaces

For graphical user interface (UI) design, it is important to understand what attracts visual attention. While previous work on saliency has focused o…
Jan 22, 2021
Human-Computer Interaction
Computation and Language

The Impact of Multiple Parallel Phrase Suggestions on Email Input and…

We present an in-depth analysis of the impact of multi-word suggestion choices from a neural language model on user behaviour regarding input and tex…
Jan 22, 2021
Computation and Language
Machine Learning

Streaming Models for Joint Speech Recognition and Translation

Using end-to-end models for speech translation (ST) has increasingly been the focus of the ST community. These models condense the previously cascade…
Jan 22, 2021
Signal Processing
Machine Learning

Traffic Flow Estimation using LTE Radio Frequency Counters and Machin…

As the demand for vehicles continues to outpace construction of new roads, it becomes imperative we implement strategies that improve utilization of …
Jan 22, 2021
Machine Learning

A Study of Continuous Vector Representationsfor Theorem Proving

Applying machine learning to mathematical terms and formulas requires a suitable representation of formulas that is adequate for AI methods. In this …
Jan 22, 2021
Image and Video Processing
Computer Vision

A Universal Deep Learning Framework for Real-Time Denoising of Ultr…

Ultrasound images are widespread in medical diagnosis for muscle-skeletal, cardiac, and obstetrical diseases, due to the efficiency and non-invasiven…
Jan 22, 2021
Computation and Language
Artificial Intelligence

In this work, we present a unified and formal approach for analysing the functional roles of attention heads. In particular, the sieve bias score generalizes across functional roles and hypothesis tests ensure statistical significance. This systemat…

The heads hypothesis: A unifying statistical approach towards under…

Multi-headed attention heads are a mainstay in transformer-based models. Different methods have been proposed to classify the role of each attention …
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