The University of Arizona

research

∙ 12/27/2019

SoftAdapt: Techniques for Adaptive Loss Weighting of Neural Networks with Multi-Part Loss Functions

Adaptive loss function formulation is an active area of research and has...

A. Ali Heydari, et al. ∙

research

∙ 10/02/2020

Interactive Reinforcement Learning for Feature Selection with Decision Tree in the Loop

We study the problem of balancing effectiveness and efficiency in automa...

Wei Fan, et al. ∙

research

∙ 02/25/2020

Problems with Shapley-value-based explanations as feature importance measures

Game-theoretic formulations of feature importance have become popular as...

I. Elizabeth Kumar, et al. ∙

research

∙ 11/26/2019

Edge-Guided Occlusion Fading Reduction for a Light-Weighted Self-Supervised Monocular Depth Estimation

Self-supervised monocular depth estimation methods generally suffer the ...

Kuo-Shiuan Peng, et al. ∙

research

∙ 01/27/2020

Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning

With the explosive growth of online products and content, recommendation...

Xi Liu, et al. ∙

research

∙ 07/21/2021

mmPose-NLP: A Natural Language Processing Approach to Precise Skeletal Pose Estimation using mmWave Radars

In this paper we presented mmPose-NLP, a novel Natural Language Processi...

Arindam Sengupta, et al. ∙

research

∙ 06/25/2020

Active Online Domain Adaptation

Online machine learning systems need to adapt to domain shifts. Meanwhil...

Yining Chen, et al. ∙

research

∙ 06/20/2019

Disentangling Influence: Using Disentangled Representations to Audit Model Predictions

Motivated by the need to audit complex and black box models, there has b...

Charles T. Marx, et al. ∙

research

∙ 06/06/2020

Attribute-Efficient Learning of Halfspaces with Malicious Noise: Near-Optimal Label Complexity and Noise Tolerance

This paper is concerned with computationally efficient learning of homog...

Jie Shen, et al. ∙

research

∙ 01/16/2022

In Situ Answer Sentence Selection at Web-scale

Current answer sentence selection (AS2) applied in open-domain question ...

Zeyu Zhang, et al. ∙

research

∙ 05/24/2022

EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling

This work presents strategies to learn an Energy-Based Model (EBM) accor...

Mitch Hill, et al. ∙

research

∙ 08/27/2019

Improving Visual Feature Extraction in Glacial Environments

Glacial science could benefit tremendously from autonomous robots, but p...

Steven D. Morad, et al. ∙

research

∙ 11/07/2018

Solving Jigsaw Puzzles By The Graph Connection Laplacian

We propose a novel mathematical framework to address the problem of auto...

Vahan Huroyan, et al. ∙

research

∙ 02/04/2021

Transfer Learning in Bandits with Latent Continuity

Structured stochastic multi-armed bandits provide accelerated regret rat...

Hyejin Park, et al. ∙

research

∙ 09/01/2014

A Mobile Food Recommendation System Based on The Traffic Light Diet

Innovative, real-time solutions are needed to address the mismatch betwe...

Thienne Johnson, et al. ∙

research

∙ 12/13/2017

On the organization of grid and place cells: Neural de-noising via subspace learning

Place cells in the hippocampus are active when an animal visits a certai...

David M. Schwartz, et al. ∙

research

∙ 09/01/2017

Learning what to read: Focused machine reading

Recent efforts in bioinformatics have achieved tremendous progress in th...

Enrique Noriega-Atala, et al. ∙

research

∙ 10/26/2017

A Generative Model for Volume Rendering

We present a technique to synthesize and analyze volume-rendered images ...

Matthew Berger, et al. ∙

research

∙ 11/13/2014

Scalable Link Prediction in Dynamic Networks via Non-Negative Matrix Factorization

We propose a scalable temporal latent space model for link prediction in...

Linhong Zhu, et al. ∙

research

∙ 03/31/2016

Hierarchical Quickest Change Detection via Surrogates

Change detection (CD) in time series data is a critical problem as it re...

Prithwish Chakraborty, et al. ∙

research

∙ 01/01/2016

Practical Algorithms for Learning Near-Isometric Linear Embeddings

We propose two practical non-convex approaches for learning near-isometr...

Jerry Luo, et al. ∙

research

∙ 08/14/2016

Branching Gaussian Processes with Applications to Spatiotemporal Reconstruction of 3D Trees

We propose a robust method for estimating dynamic 3D curvilinear branchi...

Kyle Simek, et al. ∙

research

∙ 04/24/2016

Bayesian Inference of Recursive Sequences of Group Activities from Tracks

We present a probabilistic generative model for inferring a description ...

Ernesto Brau, et al. ∙

research

∙ 02/02/2016

Development of an Ideal Observer that Incorporates Nuisance Parameters and Processes List-Mode Data

Observer models were developed to process data in list-mode format in or...

Christopher J. MacGahan, et al. ∙

research

∙ 09/02/2014

Action Recognition in the Frequency Domain

In this paper, we describe a simple strategy for mitigating variability ...

Anh Tran, et al. ∙

research

∙ 05/13/2011

ℓ_0 Minimization for Wavelet Frame Based Image Restoration

The theory of (tight) wavelet frames has been extensively studied in the...

Yong Zhang, et al. ∙

research

∙ 12/07/2009

Automatic creation of urban velocity fields from aerial video

In this paper, we present a system for modelling vehicle motion in an ur...

Edward Rosten, et al. ∙

research

∙ 08/11/2017

Visualizing Time-Varying Particle Flows with Diffusion Geometry

The tasks of identifying separation structures and clusters in flow data...

Matthew Berger, et al. ∙

research

∙ 07/20/2017

Visual Detection of Structural Changes in Time-Varying Graphs Using Persistent Homology

Topological data analysis is an emerging area in exploratory data analys...

Mustafa Hajij, et al. ∙

research

∙ 11/01/2017

Text Annotation Graphs: Annotating Complex Natural Language Phenomena

This paper introduces a new web-based software tool for annotating text,...

Angus G. Forbes, et al. ∙

research

∙ 09/07/2017

Composition by Conversation

Most musical programming languages are developed purely for coding virtu...

Donya Quick, et al. ∙

research

∙ 04/10/2017

Improving Implicit Semantic Role Labeling by Predicting Semantic Frame Arguments

Implicit semantic role labeling (iSRL) is the task of predicting the sem...

Quynh Ngoc Thi Do, et al. ∙

research

∙ 12/22/2016

A Context-aware Attention Network for Interactive Question Answering

Neural network based sequence-to-sequence models in an encoder-decoder f...

Huayu Li, et al. ∙

research

∙ 06/30/2016

SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction

We propose an approach for biomedical information extraction that marrie...

Marco A. Valenzuela-Escarcega, et al. ∙

research

∙ 06/26/2016

This before That: Causal Precedence in the Biomedical Domain

Causal precedence between biochemical interactions is crucial in the bio...

Gus Hahn-Powell, et al. ∙

research

∙ 03/11/2016

Towards using social media to identify individuals at risk for preventable chronic illness

We describe a strategy for the acquisition of training data necessary to...

Dane Bell, et al. ∙

research

∙ 03/11/2016

Sieve-based Coreference Resolution in the Biomedical Domain

We describe challenges and advantages unique to coreference resolution i...

Dane Bell, et al. ∙

research

∙ 12/18/2014

Incorporating Both Distributional and Relational Semantics in Word Representations

We investigate the hypothesis that word representations ought to incorpo...

Daniel Fried, et al. ∙

research

∙ 11/13/2017

MM Algorithms for Variance Component Estimation and Selection in Logistic Linear Mixed Model

Logistic linear mixed model is widely used in experimental designs and g...

Liuyi Hu, et al. ∙

research

∙ 11/19/2017

Approximating geodesics via random points

Given a `cost' functional F on paths γ in a domain D⊂R^d, in the form F(...

Erik Davis, et al. ∙

research

∙ 11/28/2017

Online Edge Caching and Wireless Delivery in Fog-Aided Networks with Dynamic Content Popularity

Fog Radio Access Network (F-RAN) architectures can leverage both cloud p...

Seyyed Mohammadreza Azimi, et al. ∙

research

∙ 09/01/2017

Drawing Dynamic Graphs Without Timeslices

Timeslices are often used to draw and visualize dynamic graphs. While ti...

Paolo Simonetto, et al. ∙

research

∙ 08/31/2017

Revisited Experimental Comparison of Node-Link and Matrix Representations

Visualizing network data is applicable in domains such as biology, engin...

Mershack Okoe, et al. ∙

research

∙ 07/10/2017

Symmetrized importance samplers for stochastic differential equations

We study a class of importance sampling methods for stochastic different...

Andrew Leach, et al. ∙

research

∙ 05/18/2017

Sympiler: Transforming Sparse Matrix Codes by Decoupling Symbolic Analysis

Sympiler is a domain-specific code generator that optimizes sparse matri...

Kazem Cheshmi, et al. ∙

research

∙ 10/16/2017

SpecWatch: A Framework for Adversarial Spectrum Monitoring with Unknown Statistics

In cognitive radio networks (CRNs), dynamic spectrum access has been pro...

Ming Li, et al. ∙

research

∙ 01/03/2018

Differential Geometry for Model Independent Analysis of Images and Other Non-Euclidean Data: Recent Developments

This article provides an exposition of recent methodologies for nonparam...

Rabi Bhattacharya, et al. ∙

research

∙ 01/11/2018

Noisy Feedback and Loss Unlimited Private Communication

Alice is transmitting a private message to Bob across a bosonic wiretap ...

Dawei Ding, et al. ∙

research

∙ 02/08/2018

WorldTree: A Corpus of Explanation Graphs for Elementary Science Questions supporting Multi-Hop Inference

Developing methods of automated inference that are able to provide users...

Peter A. Jansen, et al. ∙

research

∙ 04/06/2018

Context-aware Data Aggregation with Localized Information Privacy

In this paper, localized information privacy (LIP) is proposed, as a new...

Bo Jiang, et al. ∙

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