
An Informationtheoretic Visual Analysis Framework for Convolutional Neural Networks
Despite the great success of Convolutional Neural Networks (CNNs) in Com...
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Hypergraph Clustering: A Modularity Maximization Approach
Clustering on hypergraphs has been garnering increased attention with po...
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A Genetic Algorithm based Kernelsize Selection Approach for a Multicolumn Convolutional Neural Network
Deep neural networkbased architectures give promising results in variou...
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Brain Atlas Guided Attention UNet for White Matter Hyperintensity Segmentation
White Matter Hyperintensities (WMH) are the most common manifestation of...
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Road Network Reconstruction from Satellite Images with Machine Learning Supported by Topological Methods
Automatic Extraction of road network from satellite images is a goal tha...
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MTLE: A Multitask Learning Encoder of Visual Feature Representations for Video and Movie Description
Learning visual feature representations for video analysis is a daunting...
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Train in Germany, Test in The USA: Making 3D Object Detectors Generalize
In the domain of autonomous driving, deep learning has substantially imp...
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HARE: a Flexible Highlighting Annotator for Ranking and Exploration
Exploration and analysis of potential data sources is a significant chal...
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Posterior Model Adaptation With Updated Priors
Classification approaches based on the direct estimation and analysis of...
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Fast 3D Line Segment Detection From Unorganized Point Cloud
This paper presents a very simple but efficient algorithm for 3D line se...
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An Imitation Game for Learning Semantic Parsers from User Interaction
Despite the widely successful applications, bootstrapping and finetunin...
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Freebreathing Cardiovascular MRI Using a PlugandPlay Method with Learned Denoiser
Cardiac magnetic resonance imaging (CMR) is a noninvasive imaging modali...
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Hybrid Zero Dynamics Inspired Feedback Control Policy Design for 3D Bipedal Locomotion using Reinforcement Learning
This paper presents a novel modelfree reinforcement learning (RL) frame...
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SpiderBoost: A Class of Faster Variancereduced Algorithms for Nonconvex Optimization
There has been extensive research on developing stochastic variance redu...
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Private Stochastic Convex Optimization with Optimal Rates
We study differentially private (DP) algorithms for stochastic convex op...
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Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate
Many modern machine learning models are trained to achieve zero or near...
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Befriending The Byzantines Through Reputation Scores
We propose two novel stochastic gradient descent algorithms, ByGARS and ...
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A Partially Observable MDP Approach for Sequential Testing for Infectious Diseases such as COVID19
The outbreak of the novel coronavirus (COVID19) is unfolding as a major...
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Two models of double descent for weak features
The "double descent" risk curve was recently proposed to qualitatively d...
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EndtoEnd PseudoLiDAR for ImageBased 3D Object Detection
Reliable and accurate 3D object detection is a necessity for safe autono...
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Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing
Visual Question Answering (VQA) systems are tasked with answering natura...
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Generalized Penalty for Circular Coordinate Representation
Topological Data Analysis (TDA) provides novel approaches that allow us ...
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Cubic Regularization with Momentum for Nonconvex Optimization
Momentum is a popular technique to accelerate the convergence in practic...
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The UAVid Dataset for Video Semantic Segmentation
Video semantic segmentation has been one of the research focus in comput...
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MaSS: an Accelerated Stochastic Method for Overparametrized Learning
In this paper we introduce MaSS (Momentumadded Stochastic Solver), an a...
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Kernel Machines Beat Deep Neural Networks on Maskbased Singlechannel Speech Enhancement
We apply a fast kernel method for maskbased singlechannel speech enhan...
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Travel Time Estimation without Road Networks: An Urban Morphological Layout Representation Approach
Travel time estimation is a crucial task for not only personal travel sc...
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Solver Recommendation For Transport Problems in Slabs Using Machine Learning
The use of machine learning algorithms to address classification problem...
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Logical Natural Language Generation from OpenDomain Tables
Neural natural language generation (NLG) models have recently shown rema...
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A Skipconnected Multicolumn Network for Isolated Handwritten Bangla Character and Digit recognition
Finding local invariant patterns in handwritten characters and/or digit...
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Convergence of Cubic Regularization for Nonconvex Optimization under KL Property
Cubicregularized Newton's method (CR) is a popular algorithm that guara...
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Topview Trajectories: A Pedestrian Dataset of VehicleCrowd Interaction from Controlled Experiments and Crowded Campus
Predicting the collective motion of a group of pedestrians (a crowd) und...
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Contextual Bandits with SideObservations
We investigate contextual bandits in the presence of sideobservations a...
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Hierarchical Clustering of Asymmetric Networks
This paper considers networks where relationships between nodes are repr...
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A survey of statistical learning techniques as applied to inexpensive pediatric Obstructive Sleep Apnea data
Pediatric obstructive sleep apnea affects an estimated 15 elementarysc...
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Multimodal Content Analysis for Effective Advertisements on YouTube
The rapid advances in ecommerce and Web 2.0 technologies have greatly i...
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A ChangeDetection based Framework for Piecewisestationary MultiArmed Bandit Problem
The multiarmed bandit problem has been extensively studied under the st...
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Information Directed Sampling for Stochastic Bandits with Graph Feedback
We consider stochastic multiarmed bandit problems with graph feedback, ...
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Adaptive Bayesian Sampling with Monte Carlo EM
We present a novel technique for learning the mass matrices in samplers ...
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Learners that Leak Little Information
We study learning algorithms that are restricted to revealing little inf...
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Characterizing Driving Context from Driver Behavior
Because of the increasing availability of spatiotemporal data, a variety...
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Machine vs Machine: MinimaxOptimal Defense Against Adversarial Examples
Recently, researchers have discovered that the stateoftheart object c...
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Critical Points of Neural Networks: Analytical Forms and Landscape Properties
Due to the success of deep learning to solving a variety of challenging ...
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Nonconvex LowRank Matrix Recovery with Arbitrary Outliers via MedianTruncated Gradient Descent
Recent work has demonstrated the effectiveness of gradient descent for d...
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SecondOrder Word Embeddings from Nearest Neighbor Topological Features
We introduce secondorder vector representations of words, induced from ...
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Fast Change Point Detection on Dynamic Social Networks
A number of real world problems in many domains (e.g. sociology, biology...
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Unperturbed: spectral analysis beyond DavisKahan
Classical matrix perturbation results, such as Weyl's theorem for eigenv...
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Reward Maximization Under Uncertainty: Leveraging SideObservations on Networks
We study the stochastic multiarmed bandit (MAB) problem in the presence...
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Consistency of community detection in multilayer networks using spectral and matrix factorization methods
We consider the problem of estimating a consensus community structure by...
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Using Global Constraints and Reranking to Improve Cognates Detection
Global constraints and reranking have not been used in cognates detectio...
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The Ohio State University
The Ohio State University, commonly referred to as Ohio State or OSU, is a large, primarily residential, public research university in Columbus, Ohio.