Texas A&M University

∙ College Station , United States ∙ 0 followers

Texas A&M University is a coeducational public research university in College Station, Texas, United States.

Focus Longer to See Better:Recursively Refined Attention for Fine-Grained Image Classification

Deep Neural Network has shown great strides in the coarse-grained image ...
05/22/2020 ∙ by Prateek Shroff, et al. ∙ 50 ∙ share

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PyODDS: An End-to-End Outlier Detection System

PyODDS is an end-to end Python system for outlier detection with databas...
10/07/2019 ∙ by Yuening Li, et al. ∙ 41 ∙ share

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XGNN: Towards Model-Level Explanations of Graph Neural Networks

Graphs neural networks (GNNs) learn node features by aggregating and com...
06/03/2020 ∙ by Hao Yuan, et al. ∙ 39 ∙ share

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Non-Local Graph Neural Networks

Modern graph neural networks (GNNs) learn node embeddings through multil...
05/29/2020 ∙ by Meng Liu, et al. ∙ 34 ∙ share

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Score-CAM:Improved Visual Explanations Via Score-Weighted Class Activation Mapping

Recently, more and more attention has been drawn into the internal mecha...
10/03/2019 ∙ by Haofan Wang, et al. ∙ 25 ∙ share

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Accelerating PDE-constrained Inverse Solutions with Deep Learning and Reduced Order Models

Inverse problems are pervasive mathematical methods in inferring knowled...
12/17/2019 ∙ by Sheroze Sheriffdeen, et al. ∙ 20 ∙ share

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Network-principled deep generative models for designing drug combinations as graph sets

Combination therapy has shown to improve therapeutic efficacy while redu...
04/16/2020 ∙ by Mostafa Karimi, et al. ∙ 12 ∙ share

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AutoGAN: Neural Architecture Search for Generative Adversarial Networks

Neural architecture search (NAS) has witnessed prevailing success in ima...
08/11/2019 ∙ by Xinyu Gong, et al. ∙ 10 ∙ share

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On the Search for Feedback in Reinforcement Learning

This paper addresses the problem of learning the optimal feedback policy...
02/21/2020 ∙ by Ran Wang, et al. ∙ 10 ∙ share

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Learning an Interpretable Traffic Signal Control Policy

Signalized intersections are managed by controllers that assign right of...
12/23/2019 ∙ by James Ault, et al. ∙ 9 ∙ share

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Deep Structured Cross-Modal Anomaly Detection

Anomaly detection is a fundamental problem in data mining field with man...
08/11/2019 ∙ by Yuening Li, et al. ∙ 8 ∙ share

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I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively

The learning of hierarchical representations for image classification ha...
02/25/2020 ∙ by Haotao Wang, et al. ∙ 7 ∙ share

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DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better

We present a new end-to-end generative adversarial network (GAN) for sin...
08/10/2019 ∙ by Orest Kupyn, et al. ∙ 6 ∙ share

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Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds

In recent years, unfolding iterative algorithms as neural networks has b...
08/29/2018 ∙ by Xiaohan Chen, et al. ∙ 5 ∙ share

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Acceleration of Radiation Transport Solves Using Artificial Neural Networks

Discontinuous Finite Element Methods (DFEM) have been widely used for so...
06/06/2019 ∙ by Mauricio Tano, et al. ∙ 5 ∙ share

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A Hybrid Deep Learning Model for Predictive Flood Warning and Situation Awareness using Channel Network Sensors Data

The objective of this study is to create and test a hybrid deep learning...
06/15/2020 ∙ by Shangjia Dong, et al. ∙ 5 ∙ share

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DAVID: Dual-Attentional Video Deblurring

Blind video deblurring restores sharp frames from a blurry sequence with...
12/07/2019 ∙ by Junru Wu, et al. ∙ 4 ∙ share

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Network Shrinkage Estimation

Networks are a natural representation of complex systems across the scie...
08/02/2019 ∙ by Nesreen K. Ahmed, et al. ∙ 3 ∙ share

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RLCard: A Toolkit for Reinforcement Learning in Card Games

RLCard is an open-source toolkit for reinforcement learning research in ...
10/10/2019 ∙ by Daochen Zha, et al. ∙ 2 ∙ share

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Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion

We present our preliminary work to determine if patient's vocal acoustic...
11/29/2017 ∙ by Aven Samareh, et al. ∙ 1 ∙ share

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End-to-End United Video Dehazing and Detection

The recent development of CNN-based image dehazing has revealed the effe...
09/12/2017 ∙ by Boyi Li, et al. ∙ 1 ∙ share

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Robust Emotion Recognition from Low Quality and Low Bit Rate Video: A Deep Learning Approach

Emotion recognition from facial expressions is tremendously useful, espe...
09/10/2017 ∙ by Bowen Cheng, et al. ∙ 1 ∙ share

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Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study

This paper aims to improve privacy-preserving visual recognition, an inc...
07/22/2018 ∙ by Zhenyu Wu, et al. ∙ 1 ∙ share

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Privacy-Preserving Deep Visual Recognition: An Adversarial Learning Framework and A New Dataset

This paper aims to boost privacy-preserving visual recognition, an incre...
06/12/2019 ∙ by Haotao Wang, et al. ∙ 1 ∙ share

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AutoSpeech: Neural Architecture Search for Speaker Recognition

Speaker recognition systems based on Convolutional Neural Networks (CNNs...
05/07/2020 ∙ by Shaojin Ding, et al. ∙ 1 ∙ share

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Incentivizing Sharing in Realtime D2D Streaming Networks: A Mean Field Game Perspective

We consider the problem of streaming live content to a cluster of co-loc...
04/08/2016 ∙ by Jian Li, et al. ∙ 0 ∙ share

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Tensor Completion Algorithms in Big Data Analytics

Tensor completion is a problem of filling the missing or unobserved entr...
11/28/2017 ∙ by Qingquan Song, et al. ∙ 0 ∙ share

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Throughput Optimal Decentralized Scheduling of Multi-Hop Networks with End-to-End Deadline Constraints: II Wireless Networks with Interference

Consider a multihop wireless network serving multiple flows in which wir...
09/06/2017 ∙ by Rahul Singh, et al. ∙ 0 ∙ share

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Spatial Variational Auto-Encoding via Matrix-Variate Normal Distributions

The key idea of variational auto-encoders (VAEs) resembles that of tradi...
05/18/2017 ∙ by Zhengyang Wang, et al. ∙ 0 ∙ share

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Approximating Continuous Functions by ReLU Nets of Minimal Width

This article concerns the expressive power of depth in deep feed-forward...
10/31/2017 ∙ by Boris Hanin, et al. ∙ 0 ∙ share

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α-Variational Inference with Statistical Guarantees

We propose a variational approximation to Bayesian posterior distributio...
10/09/2017 ∙ by Yun Yang, et al. ∙ 0 ∙ share

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Visual Servoing of Unmanned Surface Vehicle from Small Tethered Unmanned Aerial Vehicle

This paper presents an algorithm and the implementation of a motor schem...
10/09/2017 ∙ by Haresh Karnan, et al. ∙ 0 ∙ share

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Evolutionary Approaches to Optimization Problems in Chimera Topologies

Chimera graphs define the topology of one of the first commercially avai...
08/17/2016 ∙ by Roberto Santana, et al. ∙ 0 ∙ share

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Frequentist coverage and sup-norm convergence rate in Gaussian process regression

Gaussian process (GP) regression is a powerful interpolation technique d...
08/16/2017 ∙ by Yun Yang, et al. ∙ 0 ∙ share

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Universal Function Approximation by Deep Neural Nets with Bounded Width and ReLU Activations

This article concerns the expressive power of depth in neural nets with ...
08/09/2017 ∙ by Boris Hanin, et al. ∙ 0 ∙ share

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Attributed Network Embedding for Learning in a Dynamic Environment

Network embedding leverages the node proximity manifested to learn a low...
06/06/2017 ∙ by Jundong Li, et al. ∙ 0 ∙ share

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Control of Gene Regulatory Networks with Noisy Measurements and Uncertain Inputs

This paper is concerned with the problem of stochastic control of gene r...
02/24/2017 ∙ by Mahdi Imani, et al. ∙ 0 ∙ share

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Surrogate Aided Unsupervised Recovery of Sparse Signals in Single Index Models for Binary Outcomes

We consider the recovery of regression coefficients, denoted by β_0, for...
01/18/2017 ∙ by Abhishek Chakrabortty, et al. ∙ 0 ∙ share

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Detection of Cooperative Interactions in Logistic Regression Models

An important problem in the field of bioinformatics is to identify inter...
02/12/2016 ∙ by Easton Li Xu, et al. ∙ 0 ∙ share

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Data Integration with High Dimensionality

We consider a problem of data integration. Consider determining which ge...
10/03/2016 ∙ by Xin Gao, et al. ∙ 0 ∙ share

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Functorial Hierarchical Clustering with Overlaps

This work draws its inspiration from three important sources of research...
09/08/2016 ∙ by Jared Culbertson, et al. ∙ 0 ∙ share

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Consistency constraints for overlapping data clustering

We examine overlapping clustering schemes with functorial constraints, i...
08/15/2016 ∙ by Jared Culbertson, et al. ∙ 0 ∙ share

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Enhance Visual Recognition under Adverse Conditions via Deep Networks

Visual recognition under adverse conditions is a very important and chal...
12/20/2017 ∙ by Ding Liu, et al. ∙ 0 ∙ share

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On Statistical Optimality of Variational Bayes

The article addresses a long-standing open problem on the justification ...
12/25/2017 ∙ by Debdeep Pati, et al. ∙ 0 ∙ share

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Oracle Inequalities for High-dimensional Prediction

The abundance of high-dimensional data in the modern sciences has genera...
08/01/2016 ∙ by Johannes Lederer, et al. ∙ 0 ∙ share

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Q-learning for Optimal Control of Continuous-time Systems

In this paper, two Q-learning (QL) methods are proposed and their conver...
10/11/2014 ∙ by Biao Luo, et al. ∙ 0 ∙ share

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Convex optimization on Banach Spaces

Greedy algorithms which use only function evaluations are applied to con...
01/01/2014 ∙ by R. A. DeVore, et al. ∙ 0 ∙ share

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Off-policy reinforcement learning for H_∞ control design

The H_∞ control design problem is considered for nonlinear systems with ...
11/24/2013 ∙ by Biao Luo, et al. ∙ 0 ∙ share

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Moments and Root-Mean-Square Error of the Bayesian MMSE Estimator of Classification Error in the Gaussian Model

The most important aspect of any classifier is its error rate, because t...
10/05/2013 ∙ by Amin Zollanvari, et al. ∙ 0 ∙ share

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Online Adaptive Decision Fusion Framework Based on Entropic Projections onto Convex Sets with Application to Wildfire Detection in Video

In this paper, an Entropy functional based online Adaptive Decision Fusi...
01/25/2011 ∙ by Osman Gunay, et al. ∙ 0 ∙ share

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