
RNNbow: Visualizing Learning via Backpropagation Gradients in Recurrent Neural Networks
We present RNNbow, an interactive tool for visualizing the gradient flow...
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Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
Reinforcement learning (RL) is a popular paradigm for addressing sequent...
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Efficiently Guiding Imitation Learning Algorithms with Human Gaze
Human gaze is known to be an intentionrevealing signal in human demonst...
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Automated Process Incorporating Machine Learning Segmentation and Correlation of Oral Diseases with Systemic Health
Imaging fluorescent disease biomarkers in tissues and skin is a noninva...
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Regional Tree Regularization for Interpretability in Black Box Models
The lack of interpretability remains a barrier to the adoption of deep n...
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Ablate, Variate, and Contemplate: Visual Analytics for Discovering Neural Architectures
Deep learning models require the configuration of many layers and parame...
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Robust Machine Learning via Privacy/RateDistortion Theory
Robust machine learning formulations have emerged to address the prevale...
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Tensor Train Neighborhood Preserving Embedding
In this paper, we propose a Tensor Train Neighborhood Preserving Embeddi...
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Interpretable Apprenticeship Learning with Temporal Logic Specifications
Recent work has addressed using formulas in linear temporal logic (LTL) ...
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AI Challenges in HumanRobot Cognitive Teaming
Among the many anticipated roles for robots in the future is that of bei...
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Faster Clustering via NonBacktracking Random Walks
This paper presents VECNBT, a variation on the unsupervised graph clust...
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Image classification using local tensor singular value decompositions
From linear classifiers to neural networks, image classification has bee...
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Sample, computation vs storage tradeoffs for classification using tensor subspace models
In this paper, we exhibit the tradeoffs between the (training) sample, c...
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Blue Sky Ideas in Artificial Intelligence Education from the EAAI 2017 New and Future AI Educator Program
The 7th Symposium on Educational Advances in Artificial Intelligence (EA...
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Stochastic Planning and Lifted Inference
Lifted probabilistic inference (Poole, 2003) and symbolic dynamic progra...
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Enabling Basic Normative HRI in a Cognitive Robotic Architecture
Collaborative human activities are grounded in social and moral norms, w...
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On Deterministic Conditions for Subspace Clustering under Missing Data
In this paper we present deterministic conditions for success of sparse ...
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GroupInvariant Subspace Clustering
In this paper we consider the problem of group invariant subspace cluste...
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Informationtheoretic Bounds on Matrix Completion under Union of Subspaces Model
In this short note we extend some of the recent results on matrix comple...
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Clustering multiway data: a novel algebraic approach
In this paper, we develop a method for unsupervised clustering of twowa...
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First Order Methods for Robust Nonnegative Matrix Factorization for Large Scale Noisy Data
Nonnegative matrix factorization (NMF) has been shown to be identifiable...
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First Order Decision Diagrams for Relational MDPs
Markov decision processes capture sequential decision making under uncer...
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Robust Large Scale Nonnegative Matrix Factorization using Proximal Point Algorithm
A robust algorithm for nonnegative matrix factorization (NMF) is presen...
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A TensorBased Dictionary Learning Approach to Tomographic Image Reconstruction
We consider tomographic reconstruction using priors in the form of a dic...
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Online Learning with Pairwise Loss Functions
Efficient online learning with pairwise loss functions is a crucial comp...
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Nonparametric Bayesian Mixedeffect Model: a Sparse Gaussian Process Approach
Multitask learning models using Gaussian processes (GP) have been devel...
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Infinite Shiftinvariant Grouped Multitask Learning for Gaussian Processes
Multitask learning leverages shared information among data sets to impr...
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Novel Factorization Strategies for Higher Order Tensors: Implications for Compression and Recovery of Multilinear Data
In this paper we propose novel methods for compression and recovery of m...
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JamesStein Type Center Pixel Weights for NonLocal Means Image Denoising
NonLocal Means (NLM) and variants have been proven to be effective and ...
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A New Randomness Evaluation Method with Applications to Image Shuffling and Encryption
This letter discusses the problem of testing the degree of randomness wi...
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A Parametric Level Set Approach to Simultaneous Object Identification and Background Reconstruction for Dual Energy Computed Tomography
Dual energy computerized tomography has gained great interest because of...
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Beagle: Automated Extraction and Interpretation of Visualizations from the Web
"How common is interactive visualization on the web?" "What is the most ...
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Distributed Estimation Recovery under Sensor Failure
Single timescale distributed estimation of dynamic systems via a networ...
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Observational Equivalence in System Estimation: Contractions in Complex Networks
Observability of complex systems/networks is the focus of this paper, wh...
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An Explicit Convergence Rate for Nesterov's Method from SDP
The framework of Integral Quadratic Constraints (IQC) introduced by Less...
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Routing on the Visibility Graph
We consider the problem of routing on a network in the presence of line ...
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Structural costoptimal design of sensor networks for distributed estimation
In this letter we discuss cost optimization of sensor networks monitorin...
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TimeFractional User Association in Millimeter Wave MIMO Networks
User association determines which base stations a user connects to, henc...
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Making Sense of Asynchrony in Interactive Data Visualizations
Asynchronous interfaces allow users to concurrently issue requests while...
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Maximum Area AxisAligned Square Packings
Given a point set S={s_1,... , s_n} in the unit square U=[0,1]^2, an anc...
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QuasiDilemmas for Artificial Moral Agents
In this paper we describe moral quasidilemmas (MQDs): situations simila...
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ScoutBot: A Dialogue System for Collaborative Navigation
ScoutBot is a dialogue interface to physical and simulated robots that s...
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Conceptualization and Validation of a Novel Protocol for Investigating the Uncanny Valley
Loosely based on principles of similarityattraction, robots intended fo...
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MultiView Graph Embedding Using Randomized Shortest Paths
Realworld data sets often provide multiple types of information about t...
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How to Fit a Tree in a Box
We study compact straightline embeddings of trees. We show that perfect...
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The Intuitive Power of Graph Pivots For User Exploration and Adaptive Data Abstraction
This paper reports on a simple visual technique that boils extracting a ...
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Interaction and Autonomy in RoboCup@Home and BuildingWide Intelligence
Efforts are underway at UT Austin to build autonomous robot systems that...
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Learning by Unsupervised Nonlinear Diffusion
This paper proposes and analyzes a novel clustering algorithm that combi...
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At a Glance: Pixel Approximate Entropy as a Measure of Line Chart Complexity
When inspecting information visualizations under time critical settings,...
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Stable Tensor Neural Networks for Rapid Deep Learning
We propose a tensor neural network (tNN) framework that offers an excit...
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