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Continual Learning for Natural Language Generation in Task-oriented Dialog Systems

Oct 02, 2020
Fei Mi, Liangwei Chen, Mengjie Zhao, Minlie Huang, Boi Faltings

* Accepted as Long Paper at "Findgins of EMNLP, 2020" 

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Modeling Online Behavior in Recommender Systems: The Importance of Temporal Context

Sep 19, 2020
Milena Filipovic, Blagoj Mitrevski, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat

* Under review. 8 pages, 4 figures, 5 tables 

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Addressing Fairness in Classification with a Model-Agnostic Multi-Objective Algorithm

Sep 14, 2020
Kirtan Padh, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat

* Under review. 11 pages, 3 figures, 4 tables 

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Momentum-based Gradient Methods in Multi-objective Recommender Systems

Sep 10, 2020
Blagoj Mitrevski, Milena Filipovic, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat

* Under review. 8 pages, 3 figures, 4 tables 

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ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation

Jul 23, 2020
Fei Mi, Xiaoyu Lin, Boi Faltings

* Accepted at RecSys 2020 

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T-RECS: a Transformer-based Recommender Generating Textual Explanations and Integrating Unsupervised Language-based Critiquing

May 22, 2020
Diego Antognini, Claudiu Musat, Boi Faltings

* Under review. 24 pages, 8 figures, 13 tables 

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Memory Augmented Neural Model for Incremental Session-based Recommendation

Apr 28, 2020
Fei Mi, Boi Faltings

* Accepted as a full paper at IJCAI 2020 

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Generating Higher-Fidelity Synthetic Datasets with Privacy Guarantees

Mar 02, 2020
Aleksei Triastcyn, Boi Faltings

* 7 pages, 4 figures, 1 table 

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HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset

Feb 17, 2020
Diego Antognini, Boi Faltings

* 7 pages, 3 figure, 5 tables. Accepted at LREC 2020 

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GameWikiSum: a Novel Large Multi-Document Summarization Dataset

Feb 17, 2020
Diego Antognini, Boi Faltings

* 6 pages, 1 figure, 4 tables. Accepted at LREC 2020 

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Putting Ridesharing to the Test: Efficient and Scalable Solutions and the Power of Dynamic Vehicle Relocation

Feb 12, 2020
Panayiotis Danassis, Marija Sakota, Aris Filos-Ratsikas, Boi Faltings


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Multi-Gradient Descent for Multi-Objective Recommender Systems

Dec 09, 2019
Nikola Milojkovic, Diego Antognini, Giancarlo Bergamin, Boi Faltings, Claudiu Musat

* 9 pages, 4 figures, Accepted at AAAI 2020 - Workshop on New Frontiers in Summarization 

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Federated Learning with Bayesian Differential Privacy

Nov 22, 2019
Aleksei Triastcyn, Boi Faltings

* Accepted at 2019 IEEE International Conference on Big Data (IEEE Big Data 2019). 10 pages, 2 figures, 4 tables 

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Federated Generative Privacy

Oct 18, 2019
Aleksei Triastcyn, Boi Faltings

* IJCAI Workshop on Federated Machine Learning for User Privacy and Data Confidentiality (FL-IJCAI 2019). 7 pages, 2 figures, 3 tables 

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Multi-Dimensional Explanation of Reviews

Sep 25, 2019
Diego Antognini, Claudiu Musat, Boi Faltings

* Under review. 23 pages, 12 figures, 9 tables 

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Learning to Create Sentence Semantic Relation Graphs for Multi-Document Summarization

Sep 20, 2019
Diego Antognini, Boi Faltings

* 10 pages, 4 tables, 1 figure, Accepted at 2019 Empirical Methods in Natural Language Processing - Workshop on New Frontiers in Summarization 

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An Effective Upperbound on Treewidth Using Partial Fill-in of Separators

Sep 06, 2019
Boi Faltings, Martin Charles Golumbic

* Unpublished Research Report: January 22, 2010 

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Rewarding High-Quality Data via Influence Functions

Aug 30, 2019
Adam Richardson, Aris Filos-Ratsikas, Boi Faltings


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Infochain: A Decentralized System for Truthful Information Elicitation

Aug 27, 2019
Cyril van Schreven, Naman Goel, Boi Faltings


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Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems

May 14, 2019
Fei Mi, Minlie Huang, Jiyong Zhang, Boi Faltings

* Accepted as a full paper at IJCAI 2019 

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Anytime Heuristic for Weighted Matching Through Altruism-Inspired Behavior

Feb 25, 2019
Panayiotis Danassis, Aris Filos-Ratsikas, Boi Faltings


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Improved Accounting for Differentially Private Learning

Jan 28, 2019
Aleksei Triastcyn, Boi Faltings

* 8 pages without references, 5 figures, 1 table 

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Crowdsourcing with Fairness, Diversity and Budget Constraints

Oct 31, 2018
Naman Goel, Boi Faltings


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Generating Artificial Data for Private Deep Learning

Jun 07, 2018
Aleksei Triastcyn, Boi Faltings

* Corrected privacy analysis, extended evaluation 

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CompNet: Neural networks growing via the compact network morphism

Apr 27, 2018
Jun Lu, Wei Ma, Boi Faltings


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Deep Bayesian Trust : A Dominant Strategy and Fair Reward Mechanism for Crowdsourcing

Apr 16, 2018
Naman Goel, Boi Faltings


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Personalization in Goal-Oriented Dialog

Dec 15, 2017
Chaitanya K. Joshi, Fei Mi, Boi Faltings

* Accepted at NIPS 2017 Conversational AI Workshop; Code and data at https://github.com/chaitjo/personalized-dialog 

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Personalized News Recommendation with Context Trees

Nov 03, 2014
Florent Garcin, Christos Dimitrakakis, Boi Faltings

* Proceedings of the 7th ACM conference on Recommender systems (2013), pp. 105--112 

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Protecting Privacy through Distributed Computation in Multi-agent Decision Making

Jul 12, 2014
Thomas Leaute, Boi Faltings

* Journal Of Artificial Intelligence Research, Volume 47, pages 649-695, 2013 

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