
Predicting the Role of Political Trolls in Social Media
We investigate the political roles of "Internet trolls" in social media....
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GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks
Graph structured data has wide applicability in various domains such as ...
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EmbedMask: Embedding Coupling for Onestage Instance Segmentation
Current instance segmentation methods can be categorized into segmentati...
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SelfEnhanced Convolutional Network for Facial Video Hallucination
As a domainspecific superresolution problem, facial image hallucinatio...
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InformationGeometric Set Embeddings (IGSE): From Sets to Probability Distributions
This letter introduces an abstract learning problem called the “set embe...
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FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation
Modern approaches for semantic segmentation usually employ dilated convo...
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"Why is 'Chicago' deceptive?" Towards Building ModelDriven Tutorials for Humans
To support human decision making with machine learning models, we often ...
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Depthwise Nonlocal Module for Fast Salient Object Detection Using a Single Thread
Recently deep convolutional neural networks have achieved significant su...
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Motion Guided Attention for Video Salient Object Detection
Video salient object detection aims at discovering the most visually dis...
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Geometry and clustering with metrics derived from separable Bregman divergences
Separable Bregman divergences induce Riemannian metric spaces that are i...
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Grassmannian Learning: Embedding Geometry Awareness in Shallow and Deep Learning
Modern machine learning algorithms have been adopted in a range of signa...
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The Bregman chord divergence
Distances are fundamental primitives whose choice significantly impacts ...
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FSNet: An IdentityAware Generative Model for Imagebased Face Swapping
This paper presents FSNet, a deep generative model for imagebased face ...
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Lightweight 3D Human Pose Estimation Network Training Using TeacherStudent Learning
We present MoVNect, a lightweight deep neural network to capture 3D huma...
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Crowdsourcing the Perception of Machine Teaching
Teachable interfaces can empower endusers to attune machine learning sy...
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Fewshot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding
Despite deep convolutional neural networks achieved impressive progress ...
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NeuralSymbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning
Current advances in Artificial Intelligence and machine learning in gene...
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Lightlike Neuromanifolds, Occam's Razor and Deep Learning
Why do deep neural networks generalize with a very high dimensional para...
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RSGAN: Face Swapping and Editing using Face and Hair Representation in Latent Spaces
In this paper, we present an integrated system for automatically generat...
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Moiré Photo Restoration Using Multiresolution Convolutional Neural Networks
Digital cameras and mobile phones enable us to conveniently record preci...
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Online Alternate Generator against Adversarial Attacks
The field of computer vision has witnessed phenomenal progress in recent...
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Safe and Stabilizing Distributed MultiPath Cellular Flows
We study the problem of distributed traffic control in the partitioned p...
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Neural Signatures for Licence Plate Reidentification
The problem of vehicle licence plate reidentification is generally cons...
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An Epistemic Foundation for Authentication Logics (Extended Abstract)
While there have been many attempts, going back to BAN logic, to base re...
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Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks
Protein secondary structure prediction is an important problem in bioinf...
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Towards balanced clustering  part 1 (preliminaries)
The article contains a preliminary glance at balanced clustering problem...
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LSTMCF: Unifying Context Modeling and Fusion with LSTMs for RGBD Scene Labeling
Semantic labeling of RGBD scenes is crucial to many intelligent applica...
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A Survey of Calibration Methods for Optical SeeThrough HeadMounted Displays
Optical seethrough headmounted displays (OST HMDs) are a major output ...
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Note on Evolution and Forecasting of Requirements: Communications Example
Combinatorial evolution and forecasting of system requirements is examin...
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Barankin Vector Locally Best Unbiased Estimates
The Barankin bound is generalized to the vector case in the mean square ...
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Fast Algorithms for Convolutional Neural Networks
Deep convolutional neural networks take GPU days of compute time to trai...
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On Sampling Strategies for Neural Networkbased Collaborative Filtering
Recent advances in neural networks have inspired people to design hybrid...
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Interpretable Predictions of Treebased Ensembles via Actionable Feature Tweaking
Machinelearned models are often described as "black boxes". In many rea...
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Attributed Network Embedding for Learning in a Dynamic Environment
Network embedding leverages the node proximity manifested to learn a low...
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maxDNN: An Efficient Convolution Kernel for Deep Learning with Maxwell GPUs
This paper describes maxDNN, a computationally efficient convolution ker...
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Comparing Dataset Characteristics that Favor the Apriori, Eclat or FPGrowth Frequent Itemset Mining Algorithms
Frequent itemset mining is a popular data mining technique. Apriori, Ecl...
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Representation of Evolutionary Algorithms in FPGA Cluster for Project of LargeScale Networks
Many problems are related to network projects, such as electric distribu...
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Learning Edge Representations via LowRank Asymmetric Projections
We propose a new method for embedding graphs while preserving directed e...
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Contextualizing Geometric Data Analysis and Related Data Analytics: A Virtual Microscope for Big Data Analytics
The relevance and importance of contextualizing data analytics is descri...
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Learning Concept Hierarchies through Probabilistic Topic Modeling
With the advent of semantic web, various tools and techniques have been ...
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The NOESIS NetworkOriented Exploration, Simulation, and Induction System
Network data mining has become an important area of study due to the lar...
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Massive Data Clustering in Moderate Dimensions from the Dual Spaces of Observation and Attribute Data Clouds
Cluster analysis of very high dimensional data can benefit from the prop...
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Show me the material evidence: Initial experiments on evaluating hypotheses from usergenerated multimedia data
Subjective questions such as `does neymar dive', or `is clinton lying', ...
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XCNN: Crossmodal Convolutional Neural Networks for Sparse Datasets
In this paper we propose crossmodal convolutional neural networks (XCN...
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VHT: Vertical Hoeffding Tree
IoT Big Data requires new machine learning methods able to scale to larg...
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Ant Colony Optimization and Hypergraph Covering Problems
Ant Colony Optimization (ACO) is a very popular metaheuristic for solvin...
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Neural Style Transfer: A Review
The recent work of Gatys et al. demonstrated the power of Convolutional ...
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Clustering in Hilbert simplex geometry
Clustering categorical distributions in the probability simplex is a fun...
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SIFT: An Algorithm for Extracting Structural Information From Taxonomies
In this work we present SIFT, a 3step algorithm for the analysis of the...
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Towards Integrated Glance To Restructuring in Combinatorial Optimization
The paper focuses on a new class of combinatorial problems which consist...
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