USC Information Sciences Institute

research

∙ 11/03/2021

Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling

Sampling from an unnormalized probability distribution is a fundamental ...

Greg Ver Steeg, et al. ∙

research

∙ 12/02/2019

Discovery and Separation of Features for Invariant Representation Learning

Supervised machine learning models often associate irrelevant nuisance f...

Ayush Jaiswal, et al. ∙

research

∙ 11/11/2019

Invariant Representations through Adversarial Forgetting

We propose a novel approach to achieving invariance for deep neural netw...

Ayush Jaiswal, et al. ∙

research

∙ 08/11/2021

User-friendly Comparison of Similarity Algorithms on Wikidata

While the similarity between two concept words has been evaluated and st...

Filip Ilievski, et al. ∙

research

∙ 05/29/2020

KGTK: A Toolkit for Large Knowledge Graph Manipulation and Analysis

Knowledge graphs (KGs) have become the preferred technology for represen...

Filip Ilievski, et al. ∙

research

∙ 08/07/2021

Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption

Federated learning (FL) enables distributed computation of machine learn...

Dimitris Stripelis, et al. ∙

research

∙ 07/01/2020

Sequential Unsupervised Domain Adaptation through Prototypical Distributions

We develop an algorithm for unsupervised domain adaptation (UDA) of a cl...

Mohammad Rostami, et al. ∙

research

∙ 08/31/2018

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

Today's densely instrumented world offers tremendous opportunities for c...

Homa Hosseinmardi, et al. ∙

research

∙ 08/30/2021

BioFors: A Large Biomedical Image Forensics Dataset

Research in media forensics has gained traction to combat the spread of ...

Ekraam Sabir, et al. ∙

research

∙ 09/22/2021

Salience-Aware Event Chain Modeling for Narrative Understanding

Storytelling, whether via fables, news reports, documentaries, or memoir...

Xiyang Zhang, et al. ∙

research

∙ 02/04/2019

Identifying and Analyzing Cryptocurrency Manipulations in Social Media

Interest surrounding cryptocurrencies, digital or virtual currencies tha...

Mehrnoosh Mirtaheri, et al. ∙

research

∙ 11/16/2019

Learning Behavioral Representations from Wearable Sensors

The ubiquity of mobile devices and wearable sensors offers unprecedented...

Nazgol Tavabi, et al. ∙

research

∙ 06/12/2020

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

Fingerprint presentation attack detection is becoming an increasingly ch...

Leonidas Spinoulas, et al. ∙

research

∙ 06/12/2020

Multispectral Biometrics System Framework: Application to Presentation Attack Detection

In this work, we present a general framework for building a biometrics s...

Leonidas Spinoulas, et al. ∙

research

∙ 05/02/2022

Performance Weighting for Robust Federated Learning Against Corrupted Sources

Federated Learning has emerged as a dominant computational paradigm for ...

Dimitris Stripelis, et al. ∙

research

∙ 10/30/2018

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

Recent incidents of data breaches call for organizations to proactively ...

Mohammed Almukaynizi, et al. ∙

research

∙ 04/10/2019

Discovering patterns of online popularity from time series

How is popularity gained online? Is being successful strictly related to...

Mert Ozer, et al. ∙

research

∙ 02/09/2020

Towards Learning Representations of Binary Executable Files for Security Tasks

Tackling binary analysis problems has traditionally implied manually def...

Shushan Arakelyan, et al. ∙

research

∙ 05/05/2020

Event Cartography: Latent Point Process Embeddings

Many important phenomena arise naturally as temporal point processes wit...

Myrl G. Marmarelis, et al. ∙

research

∙ 11/23/2019

SemEval-2013 Task 4: Free Paraphrases of Noun Compounds

In this paper, we describe SemEval-2013 Task 4: the definition, the data...

Iris Hendrickx, et al. ∙

research

∙ 05/29/2020

Overview of Scanner Invariant Representations

Pooled imaging data from multiple sources is subject to bias from each s...

Daniel Moyer, et al. ∙

research

∙ 04/06/2020

Challenges in Forecasting Malicious Events from Incomplete Data

The ability to accurately predict cyber-attacks would enable organizatio...

Nazgol Tavabi, et al. ∙

research

∙ 03/29/2021

CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systems

Automated systems that negotiate with humans have broad applications in ...

Kushal Chawla, et al. ∙

research

∙ 08/27/2021

Detection and Continual Learning of Novel Face Presentation Attacks

Advances in deep learning, combined with availability of large datasets,...

Mohammad Rostami, et al. ∙

research

∙ 04/11/2019

Recurrent Event Network for Reasoning over Temporal Knowledge Graphs

Recently, there has been a surge of interest in learning representation ...

Woojeong Jin, et al. ∙

research

∙ 04/10/2020

Identifying Cultural Differences through Multi-Lingual Wikipedia

Understanding cross-cultural differences is an important application of ...

Yufei Tian, et al. ∙

research

∙ 04/28/2020

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

We propose an unsupervised approach for sarcasm generation based on a no...

Tuhin Chakrabarty, et al. ∙

research

∙ 04/08/2022

Infusing Knowledge from Wikipedia to Enhance Stance Detection

Stance detection infers a text author's attitude towards a target. This ...

Zihao He, et al. ∙

research

∙ 05/21/2019

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

In recent years, the rapid growth in technology has increased the opport...

Homa Hosseinmardi, et al. ∙

research

∙ 07/02/2019

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...

Peng Lu, et al. ∙

research

∙ 08/13/2019

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...

Xusen Yin, et al. ∙

research

∙ 05/02/2020

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

Commonsense question answering (QA) requires the modeling of general bac...

Peifeng Wang, et al. ∙

research

∙ 09/07/2021

Exploring Strategies for Generalizable Commonsense Reasoning with Pre-trained Models

Commonsense reasoning benchmarks have been largely solved by fine-tuning...

Kaixin Ma, et al. ∙

research

∙ 09/26/2018

Unsupervised Adversarial Invariance

Data representations that contain all the information about target varia...

Ayush Jaiswal, et al. ∙

research

∙ 04/10/2019

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

Unsupervised part of speech (POS) tagging is often framed as a clusterin...

Ronald Cardenas, et al. ∙

research

∙ 05/30/2019

Efficient Covariance Estimation from Temporal Data

Estimating the covariance structure of multivariate time series is a fun...

Hrayr Harutyunyan, et al. ∙

research

∙ 04/05/2020

Neural Machine Translation with Imbalanced Classes

We cast neural machine translation (NMT) as a classification task in an ...

Thamme Gowda, et al. ∙

research

∙ 04/12/2021

Plot-guided Adversarial Example Construction for Evaluating Open-domain Story Generation

With the recent advances of open-domain story generation, the lack of re...

Sarik Ghazarian, et al. ∙

research

∙ 04/30/2022

Opponent Modeling in Negotiation Dialogues by Related Data Adaptation

Opponent modeling is the task of inferring another party's mental state ...

Kushal Chawla, et al. ∙

research

∙ 05/21/2022

NS3: Neuro-Symbolic Semantic Code Search

Semantic code search is the task of retrieving a code snippet given a te...

Shushan Arakelyan, et al. ∙

research

∙ 05/16/2018

Modeling Naive Psychology of Characters in Simple Commonsense Stories

Understanding a narrative requires reading between the lines and reasoni...

Hannah Rashkin, et al. ∙

research

∙ 12/12/2021

Contextualized Scene Imagination for Generative Commonsense Reasoning

Humans use natural language to compose common concepts from their enviro...

Peifeng Wang, et al. ∙

research

∙ 03/18/2022

DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations

Automatic evaluation metrics are essential for the rapid development of ...

Sarik Ghazarian, et al. ∙

research

∙ 12/05/2017

FlagIt: A System for Minimally Supervised Human Trafficking Indicator Mining

In this paper, we describe and study the indicator mining problem in the...

Mayank Kejriwal, et al. ∙

research

∙ 12/03/2017

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

Web-based human trafficking activity has increased in recent years but i...

Kyle Hundman, et al. ∙

research

∙ 11/20/2017

Bidirectional Conditional Generative Adversarial Networks

Conditional variants of Generative Adversarial Networks (GANs), known as...

Ayush Jaiswal, et al. ∙

research

∙ 11/10/2017

Efficient Representation for Natural Language Processing via Kernelized Hashcodes

Kernel similarity functions have been successfully applied in classifica...

Sahil Garg, et al. ∙

research

∙ 11/10/2017

WMRB: Learning to Rank in a Scalable Batch Training Approach

We propose a new learning to rank algorithm, named Weighted Margin-Rank ...

Kuan Liu, et al. ∙

research

∙ 07/06/2017

Multimedia Semantic Integrity Assessment Using Joint Embedding Of Images And Text

Real world multimedia data is often composed of multiple modalities such...

Ayush Jaiswal, et al. ∙

research

∙ 06/13/2016

Modeling Missing Data in Clinical Time Series with RNNs

We demonstrate a simple strategy to cope with missing data in sequential...

Zachary C Lipton, et al. ∙

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