
SoftAdapt: Techniques for Adaptive Loss Weighting of Neural Networks with MultiPart Loss Functions
Adaptive loss function formulation is an active area of research and has...
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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...
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Problems with Shapleyvaluebased explanations as feature importance measures
Gametheoretic formulations of feature importance have become popular as...
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EdgeGuided Occlusion Fading Reduction for a LightWeighted SelfSupervised Monocular Depth Estimation
Selfsupervised monocular depth estimation methods generally suffer the ...
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Developing MultiTask Recommendations with LongTerm Rewards via Policy Distilled Reinforcement Learning
With the explosive growth of online products and content, recommendation...
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Active Online Domain Adaptation
Online machine learning systems need to adapt to domain shifts. Meanwhil...
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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...
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AttributeEfficient Learning of Halfspaces with Malicious Noise: NearOptimal Label Complexity and Noise Tolerance
This paper is concerned with computationally efficient learning of homog...
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Improving Visual Feature Extraction in Glacial Environments
Glacial science could benefit tremendously from autonomous robots, but p...
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Solving Jigsaw Puzzles By The Graph Connection Laplacian
We propose a novel mathematical framework to address the problem of auto...
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Transfer Learning in Bandits with Latent Continuity
Structured stochastic multiarmed bandits provide accelerated regret rat...
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A Mobile Food Recommendation System Based on The Traffic Light Diet
Innovative, realtime solutions are needed to address the mismatch betwe...
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On the organization of grid and place cells: Neural denoising via subspace learning
Place cells in the hippocampus are active when an animal visits a certai...
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Learning what to read: Focused machine reading
Recent efforts in bioinformatics have achieved tremendous progress in th...
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A Generative Model for Volume Rendering
We present a technique to synthesize and analyze volumerendered images ...
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Scalable Link Prediction in Dynamic Networks via NonNegative Matrix Factorization
We propose a scalable temporal latent space model for link prediction in...
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Hierarchical Quickest Change Detection via Surrogates
Change detection (CD) in time series data is a critical problem as it re...
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Practical Algorithms for Learning NearIsometric Linear Embeddings
We propose two practical nonconvex approaches for learning nearisometr...
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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...
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Bayesian Inference of Recursive Sequences of Group Activities from Tracks
We present a probabilistic generative model for inferring a description ...
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Development of an Ideal Observer that Incorporates Nuisance Parameters and Processes ListMode Data
Observer models were developed to process data in listmode format in or...
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Action Recognition in the Frequency Domain
In this paper, we describe a simple strategy for mitigating variability ...
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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...
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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...
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Visualizing TimeVarying Particle Flows with Diffusion Geometry
The tasks of identifying separation structures and clusters in flow data...
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Visual Detection of Structural Changes in TimeVarying Graphs Using Persistent Homology
Topological data analysis is an emerging area in exploratory data analys...
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Text Annotation Graphs: Annotating Complex Natural Language Phenomena
This paper introduces a new webbased software tool for annotating text,...
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Composition by Conversation
Most musical programming languages are developed purely for coding virtu...
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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...
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A Contextaware Attention Network for Interactive Question Answering
Neural network based sequencetosequence models in an encoderdecoder f...
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SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction
We propose an approach for biomedical information extraction that marrie...
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This before That: Causal Precedence in the Biomedical Domain
Causal precedence between biochemical interactions is crucial in the bio...
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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...
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Sievebased Coreference Resolution in the Biomedical Domain
We describe challenges and advantages unique to coreference resolution i...
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Incorporating Both Distributional and Relational Semantics in Word Representations
We investigate the hypothesis that word representations ought to incorpo...
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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...
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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(...
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Online Edge Caching and Wireless Delivery in FogAided Networks with Dynamic Content Popularity
Fog Radio Access Network (FRAN) architectures can leverage both cloud p...
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Drawing Dynamic Graphs Without Timeslices
Timeslices are often used to draw and visualize dynamic graphs. While ti...
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Revisited Experimental Comparison of NodeLink and Matrix Representations
Visualizing network data is applicable in domains such as biology, engin...
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Symmetrized importance samplers for stochastic differential equations
We study a class of importance sampling methods for stochastic different...
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Sympiler: Transforming Sparse Matrix Codes by Decoupling Symbolic Analysis
Sympiler is a domainspecific code generator that optimizes sparse matri...
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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...
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Differential Geometry for Model Independent Analysis of Images and Other NonEuclidean Data: Recent Developments
This article provides an exposition of recent methodologies for nonparam...
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Noisy Feedback and Loss Unlimited Private Communication
Alice is transmitting a private message to Bob across a bosonic wiretap ...
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WorldTree: A Corpus of Explanation Graphs for Elementary Science Questions supporting MultiHop Inference
Developing methods of automated inference that are able to provide users...
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Contextaware Data Aggregation with Localized Information Privacy
In this paper, localized information privacy (LIP) is proposed, as a new...
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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...
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The Topology ToolKit
This system paper presents the Topology ToolKit (TTK), a software platfo...
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Lightlysupervised Representation Learning with Global Interpretability
We propose a lightlysupervised approach for information extraction, in ...
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The University of Arizona
The University of Arizona is the state's landgrant university and a member of the prestigious, invitationonly Association of American Universities—made up of just 62 universities in the country. Rising from the sands of the Sonoran desert in 1885, th...