Mila > Équipe > Dzmitry Bahdanau

Dzmitry Bahdanau

Membre industriel principal
Professeur adjoint, McGill University, ServiceNow, Chaire en IA Canada-CIFAR

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

2021-12

Systematic Generalization with Edge Transformers

2021-10

LAGr: Labeling Aligned Graphs for Improving Systematic Generalization in Semantic Parsing.
Dora Jambor and Dzmitry Bahdanau
arXiv: Computation and Language
(2021-10-14)
dblp.uni-trier.dePDF
Compositional Generalization in Dependency Parsing
arXiv preprint arXiv:2110.06843
(2021-10-13)
dblp.uni-trier.dePDF

2021-09

PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models
Torsten Scholak, Nathan Schucher and Dzmitry Bahdanau

2021-07

Combating False Negatives in Adversarial Imitation Learning
Konrad Zolna, Chitwan Saharia, Leonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau and Yoshua Bengio

2021-06

DuoRAT: Towards Simpler Text-to-SQL Models
Torsten Scholak, Raymond Li, Dzmitry Bahdanau, Harm de Vries and Chris Pal

2021-05

Understanding by Understanding Not: Modeling Negation in Language Models.
Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, R. Devon Hjelm, Alessandro Sordoni and Aaron C. Courville

2021-04

Jointly Learning Truth-Conditional Denotations and Groundings using Parallel Attention.
arXiv preprint arXiv:2104.06645
(2021-04-14)
ui.adsabs.harvard.eduPDF

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)
ui.adsabs.harvard.eduPDF

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.orgPDF

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)
ui.adsabs.harvard.eduPDF

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
(venue unknown)
(2018-10-18)
dblp.uni-trier.dePDF

2018-09

Systematic Generalization: What Is Required and Can It Be Learned?
Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, Thien Huu Nguyen, Harm de Vries and Aaron C. 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 Huu Nguyen and Yoshua Bengio

2018-06

Commonsense mining as knowledge base completion? A study on the impact of novelty
Stanislaw Jastrzebski, 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
(2018-06-01)
www.aclweb.org[Also on arXiv preprint arXiv:1804.09259 (2018-04-24)]

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