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Angeliki Lazaridou

CIMeC - Center for Mind/Brain Sciences, University of Trento

Dynamic population-based meta-learning for multi-agent communication with natural language


Oct 27, 2021
Abhinav Gupta, Marc Lanctot, Angeliki Lazaridou

* Accepted at NeurIPS 2021 

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Pitfalls of Static Language Modelling


Feb 03, 2021
Angeliki Lazaridou, Adhiguna Kuncoro, Elena Gribovskaya, Devang Agrawal, Adam Liska, Tayfun Terzi, Mai Gimenez, Cyprien de Masson d'Autume, Sebastian Ruder, Dani Yogatama, Kris Cao, Tomas Kocisky, Susannah Young, Phil Blunsom


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Emergent Communication under Competition


Jan 25, 2021
Michael Noukhovitch, Travis LaCroix, Angeliki Lazaridou, Aaron Courville

* To be presented at AAMAS 2021 

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Negotiating Team Formation Using Deep Reinforcement Learning


Oct 20, 2020
Yoram Bachrach, Richard Everett, Edward Hughes, Angeliki Lazaridou, Joel Z. Leibo, Marc Lanctot, Michael Johanson, Wojciech M. Czarnecki, Thore Graepel

* Artificial Intelligence 288 (2020): 103356 

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Emergent Multi-Agent Communication in the Deep Learning Era


Jun 03, 2020
Angeliki Lazaridou, Marco Baroni


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Multi-agent Communication meets Natural Language: Synergies between Functional and Structural Language Learning


May 14, 2020
Angeliki Lazaridou, Anna Potapenko, Olivier Tieleman

* to appear at ACL 2020 

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Experience Grounds Language


Apr 21, 2020
Yonatan Bisk, Ari Holtzman, Jesse Thomason, Jacob Andreas, Yoshua Bengio, Joyce Chai, Mirella Lapata, Angeliki Lazaridou, Jonathan May, Aleksandr Nisnevich, Nicolas Pinto, Joseph Turian


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Shaping representations through communication: community size effect in artificial learning systems


Dec 12, 2019
Olivier Tieleman, Angeliki Lazaridou, Shibl Mourad, Charles Blundell, Doina Precup

* NeurIPS 2019 workshop on visually grounded interaction and language 

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Biases for Emergent Communication in Multi-agent Reinforcement Learning


Dec 11, 2019
Tom Eccles, Yoram Bachrach, Guy Lever, Angeliki Lazaridou, Thore Graepel

* Accepted at NeurIPS 2019 

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Learning and Evaluating General Linguistic Intelligence


Jan 31, 2019
Dani Yogatama, Cyprien de Masson d'Autume, Jerome Connor, Tomas Kocisky, Mike Chrzanowski, Lingpeng Kong, Angeliki Lazaridou, Wang Ling, Lei Yu, Chris Dyer, Phil Blunsom


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Intrinsic Social Motivation via Causal Influence in Multi-Agent RL


Oct 19, 2018
Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Caglar Gulcehre, Pedro A. Ortega, DJ Strouse, Joel Z. Leibo, Nando de Freitas


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Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input


Apr 11, 2018
Angeliki Lazaridou, Karl Moritz Hermann, Karl Tuyls, Stephen Clark

* To appear at ICLR 2018 

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Emergent Communication through Negotiation


Apr 11, 2018
Kris Cao, Angeliki Lazaridou, Marc Lanctot, Joel Z Leibo, Karl Tuyls, Stephen Clark

* Published as a conference paper at ICLR 2018 

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Compositional Obverter Communication Learning From Raw Visual Input


Apr 06, 2018
Edward Choi, Angeliki Lazaridou, Nando de Freitas

* Published as a conference paper at ICLR 2018 

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A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning


Nov 07, 2017
Marc Lanctot, Vinicius Zambaldi, Audrunas Gruslys, Angeliki Lazaridou, Karl Tuyls, Julien Perolat, David Silver, Thore Graepel

* Camera-ready copy of NIPS 2017 paper, including appendix 

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The RepEval 2017 Shared Task: Multi-Genre Natural Language Inference with Sentence Representations


Jul 25, 2017
Nikita Nangia, Adina Williams, Angeliki Lazaridou, Samuel R. Bowman

* 10 pages, 1 figure, 6 tables, in Proceedings of The Second Workshop on Evaluating Vector Space Representations for NLP (RepEval 2017) 

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CommAI: Evaluating the first steps towards a useful general AI


Mar 27, 2017
Marco Baroni, Armand Joulin, Allan Jabri, Germàn Kruszewski, Angeliki Lazaridou, Klemen Simonic, Tomas Mikolov

* Published in ICLR 2017 Workshop Track 

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Multi-Agent Cooperation and the Emergence of (Natural) Language


Mar 05, 2017
Angeliki Lazaridou, Alexander Peysakhovich, Marco Baroni

* Accepted at ICLR 2017 

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The LAMBADA dataset: Word prediction requiring a broad discourse context


Jun 20, 2016
Denis Paperno, Germán Kruszewski, Angeliki Lazaridou, Quan Ngoc Pham, Raffaella Bernardi, Sandro Pezzelle, Marco Baroni, Gemma Boleda, Raquel Fernández

* 10 pages, Accepted as a long paper for ACL 2016 

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Towards Multi-Agent Communication-Based Language Learning


May 23, 2016
Angeliki Lazaridou, Nghia The Pham, Marco Baroni

* 9 pages, manuscript under submission 

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The red one!: On learning to refer to things based on their discriminative properties


May 23, 2016
Angeliki Lazaridou, Nghia The Pham, Marco Baroni

* Accepted as an ACL-short sumbmission 

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Unveiling the Dreams of Word Embeddings: Towards Language-Driven Image Generation


Nov 23, 2015
Angeliki Lazaridou, Dat Tien Nguyen, Raffaella Bernardi, Marco Baroni

* A 6-page version to appear at the Multimodal Machine Learning NIPS 2015 Workshop 

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Improving zero-shot learning by mitigating the hubness problem


Apr 15, 2015
Georgiana Dinu, Angeliki Lazaridou, Marco Baroni


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From Visual Attributes to Adjectives through Decompositional Distributional Semantics


Mar 24, 2015
Angeliki Lazaridou, Georgiana Dinu, Adam Liska, Marco Baroni

* accepted at Transactions of the Association for Computational Linguistics (TACL), 3/2015 

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Combining Language and Vision with a Multimodal Skip-gram Model


Mar 12, 2015
Angeliki Lazaridou, Nghia The Pham, Marco Baroni

* accepted at NAACL 2015, camera ready version, 11 pages 

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