The University of Arizona

∙ Tucson , United States ∙ 0 followers

The University of Arizona is the state's land-grant university and a member of the prestigious, invitation-only Association of American Universities—made up of just 62 universities in the country. Rising from the sands of the Sonoran desert in 1885, th...

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...
12/27/2019 ∙ by A. Ali Heydari, et al. ∙ 58 ∙ share

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

We study the problem of balancing effectiveness and efficiency in automa...
10/02/2020 ∙ by Wei Fan, et al. ∙ 49 ∙ share

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

Game-theoretic formulations of feature importance have become popular as...
02/25/2020 ∙ by I. Elizabeth Kumar, et al. ∙ 19 ∙ share

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

Self-supervised monocular depth estimation methods generally suffer the ...
11/26/2019 ∙ by Kuo-Shiuan Peng, et al. ∙ 13 ∙ share

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

With the explosive growth of online products and content, recommendation...
01/27/2020 ∙ by Xi Liu, et al. ∙ 13 ∙ share

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Active Online Domain Adaptation

Online machine learning systems need to adapt to domain shifts. Meanwhil...
06/25/2020 ∙ by Yining Chen, et al. ∙ 9 ∙ share

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Disentangling Influence: Using Disentangled Representations to Audit Model Predictions

Motivated by the need to audit complex and black box models, there has b...
06/20/2019 ∙ by Charles T. Marx, et al. ∙ 8 ∙ share

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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...
06/06/2020 ∙ by Jie Shen, et al. ∙ 7 ∙ share

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Improving Visual Feature Extraction in Glacial Environments

Glacial science could benefit tremendously from autonomous robots, but p...
08/27/2019 ∙ by Steven D. Morad, et al. ∙ 3 ∙ share

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Solving Jigsaw Puzzles By The Graph Connection Laplacian

We propose a novel mathematical framework to address the problem of auto...
11/07/2018 ∙ by Vahan Huroyan, et al. ∙ 2 ∙ share

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Transfer Learning in Bandits with Latent Continuity

Structured stochastic multi-armed bandits provide accelerated regret rat...
02/04/2021 ∙ by Hyejin Park, et al. ∙ 1 ∙ share

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A Mobile Food Recommendation System Based on The Traffic Light Diet

Innovative, real-time solutions are needed to address the mismatch betwe...
09/01/2014 ∙ by Thienne Johnson, et al. ∙ 0 ∙ share

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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...
12/13/2017 ∙ by David M. Schwartz, et al. ∙ 0 ∙ share

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Learning what to read: Focused machine reading

Recent efforts in bioinformatics have achieved tremendous progress in th...
09/01/2017 ∙ by Enrique Noriega-Atala, et al. ∙ 0 ∙ share

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A Generative Model for Volume Rendering

We present a technique to synthesize and analyze volume-rendered images ...
10/26/2017 ∙ by Matthew Berger, et al. ∙ 0 ∙ share

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

We propose a scalable temporal latent space model for link prediction in...
11/13/2014 ∙ by Linhong Zhu, et al. ∙ 0 ∙ share

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Hierarchical Quickest Change Detection via Surrogates

Change detection (CD) in time series data is a critical problem as it re...
03/31/2016 ∙ by Prithwish Chakraborty, et al. ∙ 0 ∙ share

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Practical Algorithms for Learning Near-Isometric Linear Embeddings

We propose two practical non-convex approaches for learning near-isometr...
01/01/2016 ∙ by Jerry Luo, et al. ∙ 0 ∙ share

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

We propose a robust method for estimating dynamic 3D curvilinear branchi...
08/14/2016 ∙ by Kyle Simek, et al. ∙ 0 ∙ share

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Bayesian Inference of Recursive Sequences of Group Activities from Tracks

We present a probabilistic generative model for inferring a description ...
04/24/2016 ∙ by Ernesto Brau, et al. ∙ 0 ∙ share

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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...
02/02/2016 ∙ by Christopher J. MacGahan, et al. ∙ 0 ∙ share

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Action Recognition in the Frequency Domain

In this paper, we describe a simple strategy for mitigating variability ...
09/02/2014 ∙ by Anh Tran, et al. ∙ 0 ∙ share

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ℓ_0 Minimization for Wavelet Frame Based Image Restoration

The theory of (tight) wavelet frames has been extensively studied in the...
05/13/2011 ∙ by Yong Zhang, et al. ∙ 0 ∙ share

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Automatic creation of urban velocity fields from aerial video

In this paper, we present a system for modelling vehicle motion in an ur...
12/07/2009 ∙ by Edward Rosten, et al. ∙ 0 ∙ share

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Visualizing Time-Varying Particle Flows with Diffusion Geometry

The tasks of identifying separation structures and clusters in flow data...
08/11/2017 ∙ by Matthew Berger, et al. ∙ 0 ∙ share

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

Topological data analysis is an emerging area in exploratory data analys...
07/20/2017 ∙ by Mustafa Hajij, et al. ∙ 0 ∙ share

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Text Annotation Graphs: Annotating Complex Natural Language Phenomena

This paper introduces a new web-based software tool for annotating text,...
11/01/2017 ∙ by Angus G. Forbes, et al. ∙ 0 ∙ share

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Composition by Conversation

Most musical programming languages are developed purely for coding virtu...
09/07/2017 ∙ by Donya Quick, et al. ∙ 0 ∙ share

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Improving Implicit Semantic Role Labeling by Predicting Semantic Frame Arguments

Implicit semantic role labeling (iSRL) is the task of predicting the sem...
04/10/2017 ∙ by Quynh Ngoc Thi Do, et al. ∙ 0 ∙ share

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A Context-aware Attention Network for Interactive Question Answering

Neural network based sequence-to-sequence models in an encoder-decoder f...
12/22/2016 ∙ by Huayu Li, et al. ∙ 0 ∙ share

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SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction

We propose an approach for biomedical information extraction that marrie...
06/30/2016 ∙ by Marco A. Valenzuela-Escarcega, et al. ∙ 0 ∙ share

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This before That: Causal Precedence in the Biomedical Domain

Causal precedence between biochemical interactions is crucial in the bio...
06/26/2016 ∙ by Gus Hahn-Powell, et al. ∙ 0 ∙ share

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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...
03/11/2016 ∙ by Dane Bell, et al. ∙ 0 ∙ share

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Sieve-based Coreference Resolution in the Biomedical Domain

We describe challenges and advantages unique to coreference resolution i...
03/11/2016 ∙ by Dane Bell, et al. ∙ 0 ∙ share

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Incorporating Both Distributional and Relational Semantics in Word Representations

We investigate the hypothesis that word representations ought to incorpo...
12/18/2014 ∙ by Daniel Fried, et al. ∙ 0 ∙ share

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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...
11/13/2017 ∙ by Liuyi Hu, et al. ∙ 0 ∙ share

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Approximating geodesics via random points

Given a `cost' functional F on paths γ in a domain D⊂R^d, in the form F(...
11/19/2017 ∙ by Erik Davis, et al. ∙ 0 ∙ share

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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...
11/28/2017 ∙ by Seyyed Mohammadreza Azimi, et al. ∙ 0 ∙ share

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Drawing Dynamic Graphs Without Timeslices

Timeslices are often used to draw and visualize dynamic graphs. While ti...
09/01/2017 ∙ by Paolo Simonetto, et al. ∙ 0 ∙ share

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Revisited Experimental Comparison of Node-Link and Matrix Representations

Visualizing network data is applicable in domains such as biology, engin...
08/31/2017 ∙ by Mershack Okoe, et al. ∙ 0 ∙ share

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Symmetrized importance samplers for stochastic differential equations

We study a class of importance sampling methods for stochastic different...
07/10/2017 ∙ by Andrew Leach, et al. ∙ 0 ∙ share

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Sympiler: Transforming Sparse Matrix Codes by Decoupling Symbolic Analysis

Sympiler is a domain-specific code generator that optimizes sparse matri...
05/18/2017 ∙ by Kazem Cheshmi, et al. ∙ 0 ∙ share

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SpecWatch: A Framework for Adversarial Spectrum Monitoring with Unknown Statistics

In cognitive radio networks (CRNs), dynamic spectrum access has been pro...
10/16/2017 ∙ by Ming Li, et al. ∙ 0 ∙ share

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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...
01/03/2018 ∙ by Rabi Bhattacharya, et al. ∙ 0 ∙ share

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Noisy Feedback and Loss Unlimited Private Communication

Alice is transmitting a private message to Bob across a bosonic wiretap ...
01/11/2018 ∙ by Dawei Ding, et al. ∙ 0 ∙ share

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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...
02/08/2018 ∙ by Peter A. Jansen, et al. ∙ 0 ∙ share

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Context-aware Data Aggregation with Localized Information Privacy

In this paper, localized information privacy (LIP) is proposed, as a new...
04/06/2018 ∙ by Bo Jiang, et al. ∙ 0 ∙ share

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The CAT Vehicle Testbed: A Simulator with Hardware in the Loop for Autonomous Vehicle Applications

This paper presents the CAT Vehicle (Cognitive and Autonomous Test Vehic...
04/12/2018 ∙ by Rahul Kumar Bhadani, et al. ∙ 0 ∙ share

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The Topology ToolKit

This system paper presents the Topology ToolKit (TTK), a software platfo...
05/22/2018 ∙ by Julien Tierny, et al. ∙ 0 ∙ share

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Lightly-supervised Representation Learning with Global Interpretability

We propose a lightly-supervised approach for information extraction, in ...
05/29/2018 ∙ by Marco A. Valenzuela-Escarcega, et al. ∙ 0 ∙ share

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