
Recreation of the Periodic Table with an Unsupervised Machine Learning Algorithm
In 1869, the first draft of the periodic table was published by Russian ...
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A Deep Dive into Understanding Tumor Foci Classification using Multiparametric MRI Based on Convolutional Neural Network
Data scarcity has refrained deep learning models from making greater pro...
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Adaptive Precision Training: Quantify Back Propagation in Neural Networks with Fixedpoint Numbers
Recent emerged quantization technique (i.e., using low bitwidth fixedp...
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RGBD Individual Segmentation
Finegrained recognition task deals with subcategory classification pro...
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A Multiscale Image Denoising Algorithm Based On Dilated Residual Convolution Network
Image denoising is a classical problem in low level computer vision. Mod...
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Video Cloze Procedure for SelfSupervised SpatioTemporal Learning
We propose a novel selfsupervised method, referred to as Video Cloze Pr...
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StraightThrough Estimator as Projected Wasserstein Gradient Flow
The StraightThrough (ST) estimator is a widely used technique for back...
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Multitask Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in CryoTomography
Cellular Electron CryoTomography (CECT) is a powerful 3D imaging tool f...
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DWM: A Decomposable Winograd Method for Convolution Acceleration
Winograd's minimal filtering algorithm has been widely used in Convoluti...
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Neural Networkbased Graph Embedding for CrossPlatform Binary Code Similarity Detection
The problem of crossplatform binary code similarity detection aims at d...
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Analyzing and Improving Stein Variational Gradient Descent for Highdimensional Marginal Inference
Stein variational gradient descent (SVGD) is a nonparametric inference m...
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Can you fool AI with adversarial examples on a visual Turing test?
Deep learning has achieved impressive results in many areas of Computer ...
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PragmaticPedagogic Value Alignment
For an autonomous system to provide value (e.g., to customers, designers...
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Feature Analysis and Selection for Training an EndtoEnd Autonomous Vehicle Controller Using the Deep Learning Approach
Deep learningbased approaches have been widely used for training contro...
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Riemannian Stein Variational Gradient Descent for Bayesian Inference
We develop Riemannian Stein Variational Gradient Descent (RSVGD), a Baye...
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Robust HighDimensional Linear Regression
The effectiveness of supervised learning techniques has made them ubiqui...
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Automated Inference on Sociopsychological Impressions of Attractive Female Faces
This article is a sequel to our earlier work [25]. The main objective of...
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DeepFood: Deep LearningBased Food Image Recognition for ComputerAided Dietary Assessment
Worldwide, in 2014, more than 1.9 billion adults, 18 years and older, we...
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Latent Feature Based FM Model For Rating Prediction
Rating Prediction is a basic problem in Recommender System, and one of t...
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Latent Attention For IfThen Program Synthesis
Automatic translation from natural language descriptions into programs i...
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Regularizing Face Verification Nets For Pain Intensity Regression
Limited labeled data are available for the research of estimating facial...
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Learning Neural Programs To Parse Programs
In this work, we study an important problem: learning programs from inpu...
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Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
Deep learning models have achieved high performance on many tasks, and t...
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Demonstration of Topological Data Analysis on a Quantum Processor
Topological data analysis offers a robust way to extract useful informat...
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Deep learning based supervised semantic segmentation of Electron CryoSubtomograms
Cellular Electron CryoTomography (CECT) is a powerful imaging technique...
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LearningBased Dequantization For Image Rsstoration Against Extremely Poor Illumination
All existing image enhancement methods, such as HDR tone mapping, cannot...
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Attentive Tensor Product Learning for Language Generation and Grammar Parsing
This paper proposes a new architecture  Attentive Tensor Product Learni...
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Generating Plans that Predict Themselves
Collaboration requires coordination, and we coordinate by anticipating o...
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The Secret Sharer: Measuring Unintended Neural Network Memorization & Extracting Secrets
Machine learning models based on neural networks and deep learning are b...
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A Machine Learning Approach To Prevent Malicious Calls Over Telephony Networks
Malicious calls, i.e., telephony spams and scams, have been a longstand...
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SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning
Synthesizing SQL queries from natural language is a longstanding open p...
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Goal Inference Improves Objective and Perceived Performance in HumanRobot Collaboration
The study of humanrobot interaction is fundamental to the design and us...
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Performance Analysis for Practical Unmanned Aerial Vehicle Networks with LoS/NLoS Transmissions
In this paper, we provide a performance analysis for practical unmanned ...
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A Language for Probabilistically Oblivious Computation
An oblivious computation is one that is free of direct and indirect info...
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Curriculum Adversarial Training
Recently, deep learning has been applied to many securitysensitive appl...
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Origami Inspired Reconfigurable Antenna for Wireless Communication Systems
This paper presents the design, fabrication, and experimental validation...
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An efficient Moving Morphable Component (MMC)based approach for multiresolution topology optimization
In the present work, a highly efficient Moving Morphable Component (MMC)...
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Accelerated Firstorder Methods on the Wasserstein Space for Bayesian Inference
We consider doing Bayesian inference by minimizing the KL divergence on ...
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Linear Span Network for Object Skeleton Detection
Robust object skeleton detection requires to explore rich representative...
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Treetotree Neural Networks for Program Translation
Program translation is an important tool to migrate legacy code in one l...
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Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning
As machine learning becomes widely used for automated decisions, attacke...
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Modified SelfOrganized Task Allocation in a Group of Robots
This paper introduces a modified selforganized task allocation algorith...
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Boosting Model Performance through Differentially Private Model Aggregation
A key factor in developing high performing machine learning models is th...
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Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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Bayesian inference in highdimensional linear models using an empirical correlationadaptive prior
In the context of a highdimensional linear regression model, we propose...
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ERNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs
Recurrent Neural Networks (RNNs) are becoming increasingly important for...
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Understanding MCMC Dynamics as Flows on the Wasserstein Space
It is known that the Langevin dynamics used in MCMC is the gradient flow...
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Segmentation of the Prostatic Gland and the Intraprostatic Lesions on Multiparametic MRI Using MaskRCNN
Prostate cancer (PCa) is the most common cancer in men in the United Sta...
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CMIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection
Weakly supervised object detection (WSOD) is a challenging task when pro...
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Predicting Solar Flares Using a Long ShortTerm Memory Network
We present a long shortterm memory (LSTM) network for predicting whethe...
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Chang Liu
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Chongqing University
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University of Maryland
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Georgian Partners
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Ohio University
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The University of Sydney
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New Jersey Institute of Technology
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Shanghai Jiao Tong University
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NC State University
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Tsinghua University
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Carnegie Mellon University
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berkeley college
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Northwestern University
Postdoc at University of California Berkeley