Dzmitry Bahdanau

Membre Industriel Principal
Dzmitry Bahdanau
Professeur adjoint, Professeur associé, McGill University, ServiceNow Element AI
Dzmitry Bahdanau

Dzmitry Bahdanau est professeur adjoint à McGill University et chercheur à ServiceNow Element AI. Avant cela, il a obtenu son doctorat à Mila et à l’Université de Montréal en travaillant avec Yoshua Bengio. Il s’intéresse aux questions fondamentales et appliquées concernant la compréhension du langage naturel. Ses principaux domaines de recherche comprennent l’analyse sémantique, les interfaces utilisateur du langage, la généralisation systématique et les systèmes hybrides neuronaux symboliques.

Publications

2020-10

DuoRAT: Towards Simpler Text-to-SQL Models
Torsten Scholak, Raymond Li, Dzmitry Bahdanau, Harm de Vries and Chris Pal
arXiv preprint arXiv:2010.11119
(2020-10-21)
arxiv.orgPDF

2020-07

BabyAI 1.1.
David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau and Yoshua Bengio
arXiv preprint arXiv:2007.12770
(2020-07-24)
dblp.uni-trier.dePDF

2020-04

Combating False Negatives in Adversarial Imitation Learning (Student Abstract)
Konrad Żołna, Chitwan Saharia, Leonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau and Yoshua Bengio
AAAI 2020
(2020-04-03)
aaai.org

2020-02

Combating False Negatives in Adversarial Imitation Learning.
Konrad Zolna, Chitwan Saharia, Léonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau and Yoshua Bengio
arXiv preprint arXiv:2002.00412
(2020-02-02)
dblp.uni-trier.dePDF

2019-12

CLOSURE: Assessing Systematic Generalization of CLEVR Models.
Dzmitry Bahdanau, Harm de Vries, Timothy J. O'Donnell, Shikhar Murty, Philippe Beaudoin, Yoshua Bengio and Aaron C. Courville
Automated curriculum generation for Policy Gradients from Demonstrations.
Anirudh Srinivasan, Dzmitry Bahdanau, Maxime Chevalier-Boisvert and Yoshua Bengio
arXiv preprint arXiv:1912.00444
(2019-12-01)
dblp.uni-trier.dePDF

2019-05

Systematic Generalization: What Is Required and Can It Be Learned?
Dzmitry Bahdanau, Shikhar Murty, Mikhail Noukhovitch, Thien H Nguyen, Harm de Vries and Aaron Courville
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning
Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, Lucas Willems, Chitwan Saharia, Thien H Nguyen and Yoshua Bengio

2018-10

BabyAI: First Steps Towards Grounded Language Learning With a Human In the Loop.
Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, Lucas Willems, Chitwan Saharia, Thien Huu Nguyen and Yoshua Bengio
arXiv: Artificial Intelligence
(2018-10-18)
dblp.uni-trier.dePDF

2018-04

Commonsense mining as knowledge base completion? A study on the impact of novelty
Stanisław Jastrzębski, Dzmitry Bahdanau, Seyedarian Hosseini, Michael Noukhovitch, Yoshua Bengio and Jackie Chi Kit Cheung
Proceedings of the Workshop on Generalization in the Age of Deep Learning
(2018-04-01)
ui.adsabs.harvard.edu[LATEST on arXiv preprint arXiv:1804.09259 (2018-04-24)]

2018-02

Learning to Compute Word Embeddings On the Fly
Dzmitry Bahdanau, Tom Bosc, Stanisław Jastrzębski, Edward Grefenstette, Pascal Vincent and Yoshua Bengio
arXiv preprint arXiv:1706.00286
(2018-02-15)
ui.adsabs.harvard.eduPDF

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