
Artificial Intelligence for Diagnosis of Skin Cancer: Challenges and Opportunities
Recently, there has been great interest in developing Artificial Intelli...
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Coloring the Black Box: Visualizing neural network behavior with a selfintrospective model
The following work presents how autoencoding all the possible hidden act...
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Mapping Missing Population in Rural India: A Deep Learning Approach with Satellite Imagery
Millions of people worldwide are absent from their country's census. Acc...
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AdvectiveNet: An EulerianLagrangian Fluidic reservoir for Point Cloud Processing
This paper presents a novel physicsinspired deep learning approach for ...
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DeepURL: Deep Pose Estimation Framework for Underwater Relative Localization
In this paper, we propose a realtime deeplearning approach for determi...
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Learning Physical Constraints with Neural Projections
We propose a new family of neural networks to predict the behaviors of p...
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An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data
The field of NLP has seen unprecedented achievements in recent years. Mo...
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Improvements and Extensions on Metaphor Detection
Metaphors are ubiquitous in human language. The metaphor detection task ...
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Deception Detection in Videos
We present a system for covert automated deception detection in reallif...
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Learning the Enigma with Recurrent Neural Networks
Recurrent neural networks (RNNs) represent the state of the art in trans...
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Learning Infinite RBMs with FrankWolfe
In this work, we propose an infinite restricted Boltzmann machine (RBM),...
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On the DiscriminationGeneralization Tradeoff in GANs
Generative adversarial training can be generally understood as minimizin...
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Connectivity Learning in MultiBranch Networks
While much of the work in the design of convolutional networks over the ...
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Learning Representations Using ComplexValued Nets
Complexvalued neural networks (CVNNs) are an emerging field of research...
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DeepCough: A Deep Convolutional Neural Network in A Wearable Cough Detection System
In this paper, we present a system that employs a wearable acoustic sens...
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Approximate Inference with Amortised MCMC
We propose a novel approximate inference algorithm that approximates a t...
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Bootstrap Model Aggregation for Distributed Statistical Learning
In distributed, or privacypreserving learning, we are often given a set...
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DeepLearning for Classification of Colorectal Polyps on WholeSlide Images
Histopathological characterization of colorectal polyps is an important ...
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Enabling Factor Analysis on ThousandSubject Neuroimaging Datasets
The scale of functional magnetic resonance image data is rapidly increas...
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Multiple Hypothesis Colorization
In this work we focus on the problem of colorization for image compressi...
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Convolutional Random Walk Networks for Semantic Image Segmentation
Most current semantic segmentation methods rely on fully convolutional n...
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Network of Experts for LargeScale Image Categorization
We present a treestructured network architecture for large scale image ...
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MultiTask Metric Learning on Network Data
Multitask learning (MTL) improves prediction performance in different c...
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A Hybrid Monte Carlo Architecture for Parameter Optimization
Much recent research has been conducted in the area of Bayesian learning...
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Semantic Segmentation with Boundary Neural Fields
The stateoftheart in semantic segmentation is currently represented b...
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HighforLow and LowforHigh: Efficient Boundary Detection from Deep Object Features and its Applications to HighLevel Vision
Most of the current boundary detection systems rely exclusively on lowl...
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Collaborative Feature Learning from Social Media
Image feature representation plays an essential role in image recognitio...
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Coupled Depth Learning
In this paper we propose a method for estimating depth from a single ima...
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DeepEdge: A MultiScale Bifurcated Deep Network for TopDown Contour Detection
Contour detection has been a fundamental component in many image segment...
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Learning Spatiotemporal Features with 3D Convolutional Networks
We propose a simple, yet effective approach for spatiotemporal feature l...
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Recurrent Neural Networks as Weighted Language Recognizers
We investigate computational complexity of questions of various problems...
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A o(d) ·polylog n Monotonicity Tester for Boolean Functions over the Hypergrid [n]^d
We study monotonicity testing of Boolean functions over the hypergrid [n...
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Adjusting for bias introduced by instrumental variable estimation in the Cox Proportional Hazards Model
Instrumental variable (IV) methods are widely used for estimating averag...
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Adaptive Boolean Monotonicity Testing in Total Influence Time
The problem of testing monotonicity of a Boolean function f:{0,1}^n →{0,...
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Better and Simpler Error Analysis of the SinkhornKnopp Algorithm for Matrix Scaling
Given a nonnegative n × m real matrix A, the matrix scaling problem is...
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Partial Identification of Expectations with Interval Data
A conditional expectation function (CEF) can at best be partially identi...
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Generalized Center Problems with Outliers
We study the Fcenter problem with outliers: given a metric space (X,d),...
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CoTraining of Audio and Video Representations from SelfSupervised Temporal Synchronization
There is a natural correlation between the visual and auditive elements ...
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MaskConnect: Connectivity Learning by Gradient Descent
Although deep networks have recently emerged as the model of choice for ...
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External Force Field Modeling for Autonomous Surface Vehicles
Operating in the presence of strong adverse forces is a particularly cha...
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Constant Amortized RMR Complexity Deterministic Abortable Mutual Exclusion Algorithm for CC and DSM Models
The abortable mutual exclusion problem was introduced by Scott and Scher...
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SVIn2: Sonar VisualInertial SLAM with Loop Closure for Underwater Navigation
This paper presents a novel tightlycoupled keyframe based Simultaneous ...
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Domain Reduction for Monotonicity Testing: A o(d) Tester for Boolean Functions on Hypergrids
Testing monotonicity of Boolean functions over the hypergrid, f:[n]^d →{...
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Approximation Algorithms for Minimum Norm and Ordered Optimization Problems
In many optimization problems, a feasible solution induces a multidime...
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Autonomous Marine Sampling Enhanced by Strategically Deployed Drifters in Marine Flow Fields
We present a transportable system for ocean observations in which a smal...
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Dual Objective Approach Using A Convolutional Neural Network for Magnetic Resonance Elastography
Traditionally, nonlinear inversion, direct inversion, or wave estimation...
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Two algorithms for the packageexchange robotrouting problem
We present and analyze two new algorithms for the packageexchange robot...
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Fair Algorithms for Clustering
We study clustering problems under the lens of algorithmic fairness ins...
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Towards Physically Safe Reinforcement Learning under Supervision
This paper addresses the question of how a previously available control ...
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Automated detection of celiac disease on duodenal biopsy slides: a deep learning approach
Celiac disease prevalence and diagnosis have increased substantially in ...
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Dartmouth College
Dartmouth College is a private Ivy League research university in Hanover, New Hampshire, United States.