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GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems


Oct 04, 2020
Shiquan Yang, Rui Zhang, Sarah Erfani

* 11 pages, 5 figures, Accepted as an EMNLP 2020 Long Paper 

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Learning Non-Unique Segmentation with Reward-Penalty Dice Loss


Sep 23, 2020
Jiabo He, Sarah Erfani, Sudanthi Wijewickrema, Stephen O'Leary, Kotagiri Ramamohanarao


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Detecting Relevant Feature Interactions for Recommender Systems via Graph Neural Networks


Aug 02, 2020
Yixin Su, Rui Zhang, Sarah Erfani, Zhenghua Xu

* 12 pages, 5 figures 

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AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows


Jul 15, 2020
Hadi M. Dolatabadi, Sarah Erfani, Christopher Leckie

* 30 pages, 12 figures, 14 tables 

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Black-box Adversarial Example Generation with Normalizing Flows


Jul 06, 2020
Hadi M. Dolatabadi, Sarah Erfani, Christopher Leckie

* Accepted to the 2nd workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models (ICML 2020), Virtual Conference 

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Normalized Loss Functions for Deep Learning with Noisy Labels


Jun 24, 2020
Xingjun Ma, Hanxun Huang, Yisen Wang, Simone Romano, Sarah Erfani, James Bailey

* Accepted to ICML 2020 

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Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction


Apr 01, 2020
Farbod Taymouri, Marcello La Rosa, Sarah Erfani, Zahra Dasht Bozorgi, Ilya Verenich


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Invertible Generative Modeling using Linear Rational Splines


Jan 24, 2020
Hadi M. Dolatabadi, Sarah Erfani, Christopher Leckie

* Accepted to the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS) 2020, Palermo, Sicily, Italy 

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Adversarial Reinforcement Learning under Partial Observability in Software-Defined Networking


Feb 25, 2019
Yi Han, David Hubczenko, Paul Montague, Olivier De Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah Erfani

* 8 pages, 4 figures 

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Reinforcement Learning for Autonomous Defence in Software-Defined Networking


Aug 17, 2018
Yi Han, Benjamin I. P. Rubinstein, Tamas Abraham, Tansu Alpcan, Olivier De Vel, Sarah Erfani, David Hubczenko, Christopher Leckie, Paul Montague

* 20 pages, 8 figures 

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