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Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources


Mar 21, 2021
Ninareh Mehrabi, Pei Zhou, Fred Morstatter, Jay Pujara, Xiang Ren, Aram Galstyan


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Fast Graph Learning with Unique Optimal Solutions


Feb 21, 2021
Sami Abu-El-Haija, Valentino Crespi, Greg Ver Steeg, Aram Galstyan


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Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning


Feb 08, 2021
Elan Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Bryan Perozzi, Greg Ver Steeg, Aram Galstyan

* To appear in ICLR 2021 

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DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation


Feb 03, 2021
Sarik Ghazarian, Zixi Liu, Tuhin Chakrabarty, Xuezhe Ma, Aram Galstyan, Nanyun Peng


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Likelihood Ratio Exponential Families


Jan 15, 2021
Rob Brekelmans, Frank Nielsen, Alireza Makhzani, Aram Galstyan, Greg Ver Steeg

* NeurIPS Workshop on Deep Learning through Information Geometry 

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Exacerbating Algorithmic Bias through Fairness Attacks


Dec 16, 2020
Ninareh Mehrabi, Muhammad Naveed, Fred Morstatter, Aram Galstyan


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Annealed Importance Sampling with q-Paths


Dec 14, 2020
Rob Brekelmans, Vaden Masrani, Thang Bui, Frank Wood, Aram Galstyan, Greg Ver Steeg, Frank Nielsen

* NeurIPS Workshop on Deep Learning through Information Geometry (Best Paper Award) 

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MUSCLE: Strengthening Semi-Supervised Learning Via Concurrent Unsupervised Learning Using Mutual Information Maximization


Nov 30, 2020
Hanchen Xie, Mohamed E. Hussein, Aram Galstyan, Wael Abd-Almageed

* 10 pages, 3 figures, Accepted to WACV2021 

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One-shot Learning for Temporal Knowledge Graphs


Oct 23, 2020
Mehrnoosh Mirtaheri, Mohammad Rostami, Xiang Ren, Fred Morstatter, Aram Galstyan


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Leveraging Clickstream Trajectories to Reveal Low-Quality Workers in Crowdsourced Forecasting Platforms


Sep 04, 2020
Akira Matsui, Emilio Ferrara, Fred Morstatter, Andres Abeliuk, Aram Galstyan

* 12 pages, 8 figures 

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Compressing Deep Neural Networks via Layer Fusion


Jul 29, 2020
James O' Neill, Greg Ver Steeg, Aram Galstyan


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Robust Classification under Class-Dependent Domain Shift


Jul 10, 2020
Tigran Galstyan, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan

* Accepted at ICML 2020 workshop on Uncertainty and Robustness in Deep Learning 

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All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference


Jul 01, 2020
Rob Brekelmans, Vaden Masrani, Frank Wood, Greg Ver Steeg, Aram Galstyan

* ICML 2020 

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Sequential Unsupervised Domain Adaptation through Prototypical Distributions


Jul 01, 2020
Mohammad Rostami, Aram Galstyan


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Latent Embeddings of Point Process Excitations


Jun 02, 2020
Myrl G. Marmarelis, Greg Ver Steeg, Aram Galstyan

* 8 pages 

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Event Cartography: Latent Point Process Embeddings


May 05, 2020
Myrl G. Marmarelis, Greg Ver Steeg, Aram Galstyan

* 8 pages 

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Improving Generalization by Controlling Label-Noise Information in Neural Network Weights


Feb 19, 2020
Hrayr Harutyunyan, Kyle Reing, Greg Ver Steeg, Aram Galstyan


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Towards Learning Representations of Binary Executable Files for Security Tasks


Feb 09, 2020
Shushan Arakelyan, Christophe Hauser, Erik Kline, Aram Galstyan


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Predictive Engagement: An Efficient Metric For Automatic Evaluation of Open-Domain Dialogue Systems


Nov 04, 2019
Sarik Ghazarian, Ralph Weischedel, Aram Galstyan, Nanyun Peng


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Man is to Person as Woman is to Location: Measuring Gender Bias in Named Entity Recognition


Oct 24, 2019
Ninareh Mehrabi, Thamme Gowda, Fred Morstatter, Nanyun Peng, Aram Galstyan


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Deep Structured Neural Network for Event Temporal Relation Extraction


Sep 24, 2019
Rujun Han, I-Hung Hsu, Mu Yang, Aram Galstyan, Ralph Weischedel, Nanyun Peng

* This paper will be published in CoNLL 2019 

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A Survey on Bias and Fairness in Machine Learning


Sep 17, 2019
Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, Aram Galstyan


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Stacking Models for Nearly Optimal Link Prediction in Complex Networks


Sep 17, 2019
Amir Ghasemian, Homa Hosseinmardi, Aram Galstyan, Edoardo M. Airoldi, Aaron Clauset

* 30 pages, 9 figures, 22 tables 

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Nearly-Unsupervised Hashcode Representations for Relation Extraction


Sep 09, 2019
Sahil Garg, Aram Galstyan, Greg Ver Steeg, Guillermo Cecchi

* Proceedings of EMNLP-19 

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Efficient Covariance Estimation from Temporal Data


May 30, 2019
Hrayr Harutyunyan, Daniel Moyer, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan


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