USC Information Sciences Institute

∙ Marina del Rey , United States ∙ 0 followers

The Information Sciences Institute (ISI) is a world leader in research and development of advanced information processing, computer and communications technologies. A unit of the University of Southern California's highly ranked Viterbi School of En...

Featured Researchers

Jun Liu
81 publications
Yue Wu
62 publications
Aram Galstyan
52 publications
Shrikanth Narayanan
49 publications
Nanyun Peng
43 publications
Emilio Ferrara
42 publications
Greg Ver Steeg
40 publications
Kristina Lerman
39 publications
Tal Hassner
27 publications
Barret Zoph
25 publications
Kevin Knight
24 publications

Discovery and Separation of Features for Invariant Representation Learning

Supervised machine learning models often associate irrelevant nuisance f...
12/02/2019 ∙ by Ayush Jaiswal, et al. ∙ 47 ∙ share

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Invariant Representations through Adversarial Forgetting

We propose a novel approach to achieving invariance for deep neural netw...
11/11/2019 ∙ by Ayush Jaiswal, et al. ∙ 29 ∙ share

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KGTK: A Toolkit for Large Knowledge Graph Manipulation and Analysis

Knowledge graphs (KGs) have become the preferred technology for represen...
05/29/2020 ∙ by Filip Ilievski, et al. ∙ 21 ∙ share

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Sequential Unsupervised Domain Adaptation through Prototypical Distributions

We develop an algorithm for unsupervised domain adaptation (UDA) of a cl...
07/01/2020 ∙ by Mohammad Rostami, et al. ∙ 19 ∙ share

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Tensor Embedding: A Supervised Framework for Human Behavioral Data Mining and Prediction

Today's densely instrumented world offers tremendous opportunities for c...
08/31/2018 ∙ by Homa Hosseinmardi, et al. ∙ 16 ∙ share

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Identifying and Analyzing Cryptocurrency Manipulations in Social Media

Interest surrounding cryptocurrencies, digital or virtual currencies tha...
02/04/2019 ∙ by Mehrnoosh Mirtaheri, et al. ∙ 12 ∙ share

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Learning Behavioral Representations from Wearable Sensors

The ubiquity of mobile devices and wearable sensors offers unprecedented...
11/16/2019 ∙ by Nazgol Tavabi, et al. ∙ 12 ∙ share

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Multi-Modal Fingerprint Presentation Attack Detection: Evaluation On A New Dataset

Fingerprint presentation attack detection is becoming an increasingly ch...
06/12/2020 ∙ by Leonidas Spinoulas, et al. ∙ 12 ∙ share

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Multispectral Biometrics System Framework: Application to Presentation Attack Detection

In this work, we present a general framework for building a biometrics s...
06/12/2020 ∙ by Leonidas Spinoulas, et al. ∙ 11 ∙ share

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DARKMENTION: A Deployed System to Predict Enterprise-Targeted External Cyberattacks

Recent incidents of data breaches call for organizations to proactively ...
10/30/2018 ∙ by Mohammed Almukaynizi, et al. ∙ 10 ∙ share

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Discovering patterns of online popularity from time series

How is popularity gained online? Is being successful strictly related to...
04/10/2019 ∙ by Mert Ozer, et al. ∙ 10 ∙ share

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Towards Learning Representations of Binary Executable Files for Security Tasks

Tackling binary analysis problems has traditionally implied manually def...
02/09/2020 ∙ by Shushan Arakelyan, et al. ∙ 10 ∙ share

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Event Cartography: Latent Point Process Embeddings

Many important phenomena arise naturally as temporal point processes wit...
05/05/2020 ∙ by Myrl G. Marmarelis, et al. ∙ 10 ∙ share

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SemEval-2013 Task 4: Free Paraphrases of Noun Compounds

In this paper, we describe SemEval-2013 Task 4: the definition, the data...
11/23/2019 ∙ by Iris Hendrickx, et al. ∙ 8 ∙ share

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Overview of Scanner Invariant Representations

Pooled imaging data from multiple sources is subject to bias from each s...
05/29/2020 ∙ by Daniel Moyer, et al. ∙ 8 ∙ share

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Challenges in Forecasting Malicious Events from Incomplete Data

The ability to accurately predict cyber-attacks would enable organizatio...
04/06/2020 ∙ by Nazgol Tavabi, et al. ∙ 7 ∙ share

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Recurrent Event Network for Reasoning over Temporal Knowledge Graphs

Recently, there has been a surge of interest in learning representation ...
04/11/2019 ∙ by Woojeong Jin, et al. ∙ 6 ∙ share

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Identifying Cultural Differences through Multi-Lingual Wikipedia

Understanding cross-cultural differences is an important application of ...
04/10/2020 ∙ by Yufei Tian, et al. ∙ 6 ∙ share

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R^3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge

We propose an unsupervised approach for sarcasm generation based on a no...
04/28/2020 ∙ by Tuhin Chakrabarty, et al. ∙ 6 ∙ share

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Discovering Hidden Structure in High Dimensional Human Behavioral Data via Tensor Factorization

In recent years, the rapid growth in technology has increased the opport...
05/21/2019 ∙ by Homa Hosseinmardi, et al. ∙ 5 ∙ share

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An End-to-End Neural Network for Image Cropping by Learning Composition from Aesthetic Photos

As one of the fundamental techniques for image editing, image cropping d...
07/02/2019 ∙ by Peng Lu, et al. ∙ 5 ∙ share

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Learn How to Cook a New Recipe in a New House: Using Map Familiarization, Curriculum Learning, and Common Sense to Learn Families of Text-Based Adventure Games

We consider the task of learning to play families of text-based computer...
08/13/2019 ∙ by Xusen Yin, et al. ∙ 5 ∙ share

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Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering

Commonsense question answering (QA) requires the modeling of general bac...
05/02/2020 ∙ by Peifeng Wang, et al. ∙ 5 ∙ share

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Unsupervised Adversarial Invariance

Data representations that contain all the information about target varia...
09/26/2018 ∙ by Ayush Jaiswal, et al. ∙ 4 ∙ share

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A Grounded Unsupervised Universal Part-of-Speech Tagger for Low-Resource Languages

Unsupervised part of speech (POS) tagging is often framed as a clusterin...
04/10/2019 ∙ by Ronald Cardenas, et al. ∙ 4 ∙ share

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Efficient Covariance Estimation from Temporal Data

Estimating the covariance structure of multivariate time series is a fun...
05/30/2019 ∙ by Hrayr Harutyunyan, et al. ∙ 3 ∙ share

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Neural Machine Translation with Imbalanced Classes

We cast neural machine translation (NMT) as a classification task in an ...
04/05/2020 ∙ by Thamme Gowda, et al. ∙ 3 ∙ share

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FlagIt: A System for Minimally Supervised Human Trafficking Indicator Mining

In this paper, we describe and study the indicator mining problem in the...
12/05/2017 ∙ by Mayank Kejriwal, et al. ∙ 0 ∙ share

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Always Lurking: Understanding and Mitigating Bias in Online Human Trafficking Detection

Web-based human trafficking activity has increased in recent years but i...
12/03/2017 ∙ by Kyle Hundman, et al. ∙ 0 ∙ share

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Bidirectional Conditional Generative Adversarial Networks

Conditional variants of Generative Adversarial Networks (GANs), known as...
11/20/2017 ∙ by Ayush Jaiswal, et al. ∙ 0 ∙ share

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Efficient Representation for Natural Language Processing via Kernelized Hashcodes

Kernel similarity functions have been successfully applied in classifica...
11/10/2017 ∙ by Sahil Garg, et al. ∙ 0 ∙ share

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WMRB: Learning to Rank in a Scalable Batch Training Approach

We propose a new learning to rank algorithm, named Weighted Margin-Rank ...
11/10/2017 ∙ by Kuan Liu, et al. ∙ 0 ∙ share

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Multimedia Semantic Integrity Assessment Using Joint Embedding Of Images And Text

Real world multimedia data is often composed of multiple modalities such...
07/06/2017 ∙ by Ayush Jaiswal, et al. ∙ 0 ∙ share

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Modeling Missing Data in Clinical Time Series with RNNs

We demonstrate a simple strategy to cope with missing data in sequential...
06/13/2016 ∙ by Zachary C Lipton, et al. ∙ 0 ∙ share

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FacePoseNet: Making a Case for Landmark-Free Face Alignment

We show how a simple convolutional neural network (CNN) can be trained t...
08/24/2017 ∙ by Fengju Chang, et al. ∙ 0 ∙ share

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Using Contexts and Constraints for Improved Geotagging of Human Trafficking Webpages

Extracting geographical tags from webpages is a well-motivated applicati...
04/19/2017 ∙ by Rahul Kapoor, et al. ∙ 0 ∙ share

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Unsupervised Learning via Total Correlation Explanation

Learning by children and animals occurs effortlessly and largely without...
06/27/2017 ∙ by Greg Ver Steeg, et al. ∙ 0 ∙ share

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Label Propagation on K-partite Graphs with Heterophily

In this paper, for the first time, we study label propagation in heterog...
01/21/2017 ∙ by Dingxiong Deng, et al. ∙ 0 ∙ share

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Deep Matching and Validation Network -- An End-to-End Solution to Constrained Image Splicing Localization and Detection

Image splicing is a very common image manipulation technique that is som...
05/27/2017 ∙ by Yue Wu, et al. ∙ 0 ∙ share

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Towards the Modeling of Behavioral Trajectories of Users in Online Social Media

In this paper, we introduce a methodology that allows to model behaviora...
11/17/2016 ∙ by Alessandro Bessi, et al. ∙ 0 ∙ share

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Building a Fine-Grained Entity Typing System Overnight for a New X (X = Language, Domain, Genre)

Recent research has shown great progress on fine-grained entity typing. ...
03/10/2016 ∙ by Lifu Huang, et al. ∙ 0 ∙ share

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Learning the Semantics of Structured Data Sources

Information sources such as relational databases, spreadsheets, XML, JSO...
01/16/2016 ∙ by Mohsen Taheriyan, et al. ∙ 0 ∙ share

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Hardware-Driven Nonlinear Activation for Stochastic Computing Based Deep Convolutional Neural Networks

Recently, Deep Convolutional Neural Networks (DCNNs) have made unprecede...
03/12/2017 ∙ by Ji Li, et al. ∙ 0 ∙ share

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Extracting Biomolecular Interactions Using Semantic Parsing of Biomedical Text

We advance the state of the art in biomolecular interaction extraction w...
12/04/2015 ∙ by Sahil Garg, et al. ∙ 0 ∙ share

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Temporal Learning and Sequence Modeling for a Job Recommender System

We present our solution to the job recommendation task for RecSys Challe...
08/11/2016 ∙ by Kuan Liu, et al. ∙ 0 ∙ share

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Using Syntax-Based Machine Translation to Parse English into Abstract Meaning Representation

We present a parser for Abstract Meaning Representation (AMR). We treat ...
04/24/2015 ∙ by Michael Pust, et al. ∙ 0 ∙ share

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Toward Interpretable Topic Discovery via Anchored Correlation Explanation

Many predictive tasks, such as diagnosing a patient based on their medic...
06/22/2016 ∙ by Kyle Reing, et al. ∙ 0 ∙ share

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Variational Information Maximization for Feature Selection

Feature selection is one of the most fundamental problems in machine lea...
06/09/2016 ∙ by Shuyang Gao, et al. ∙ 0 ∙ share

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Sifting Common Information from Many Variables

Measuring the relationship between any pair of variables is a rich and a...
06/07/2016 ∙ by Greg Ver Steeg, et al. ∙ 0 ∙ share

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Discovering Structure in High-Dimensional Data Through Correlation Explanation

We introduce a method to learn a hierarchy of successively more abstract...
06/04/2014 ∙ by Greg Ver Steeg, et al. ∙ 0 ∙ share

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