Dzmitry Bahdanau
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
8
Active years
2014–2024
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | NAACL | Evaluating In-Context Learning of Libraries for Code Generation. | Arkil Patel, Siva Reddy, Dzmitry Bahdanau, Pradeep Dasigi |
| 2023 | EMNLP | MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations. | Arkil Patel, Satwik Bhattamishra, Siva Reddy, Dzmitry Bahdanau |
| 2023 | EMNLP | PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation. | Gaurav Sahu, Olga Vechtomova, Dzmitry Bahdanau, Issam H. Laradji |
| 2022 | ACL | Compositional Generalization in Dependency Parsing. | Emily Goodwin, Siva Reddy, Timothy J. O'Donnell, Dzmitry Bahdanau |
| 2022 | ACL | LAGr: Label Aligned Graphs for Better Systematic Generalization in Semantic Parsing. | Dora Jambor, Dzmitry Bahdanau |
| 2021 | EMNLP | PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models. | Torsten Scholak, Nathan Schucher, Dzmitry Bahdanau |
| 2021 | IJCNN | Combating False Negatives in Adversarial Imitation Learning. | Konrad Zolna, Chitwan Saharia, Lonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio |
| 2021 | NAACL | Understanding by Understanding Not: Modeling Negation in Language Models. | Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, R. Devon Hjelm, Alessandro Sordoni, Aaron C. Courville |
| 2021 | NAACL | DuoRAT: Towards Simpler Text-to-SQL Models. | Torsten Scholak, Raymond Li, Dzmitry Bahdanau, Harm de Vries, Chris Pal |
| 2020 | AAAI | Combating False Negatives in Adversarial Imitation Learning (Student Abstract). | Konrad Zolna, Chitwan Saharia, Lonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio |
| 2019 | ICLR | Learning to Understand Goal Specifications by Modelling Reward. | Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Seyed Arian Hosseini, Pushmeet Kohli, Edward Grefenstette |
| 2019 | ICLR | Systematic Generalization: What Is Required and Can It Be Learned? | Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, Thien Huu Nguyen, Harm de Vries, Aaron C. Courville |
| 2019 | ICLR | 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, Yoshua Bengio |
| 2018 | ICLR | Jointly Learning "What" and "How" from Instructions and Goal-States. | Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Pushmeet Kohli, Edward Grefenstette |
| 2017 | ICLR | An Actor-Critic Algorithm for Sequence Prediction. | Dzmitry Bahdanau, Philemon Brakel, Kelvin Xu, Anirudh Goyal, Ryan Lowe, Joelle Pineau, Aaron C. Courville, Yoshua Bengio |
| 2017 | ICML | Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control. | Natasha Jaques, Shixiang Gu, Dzmitry Bahdanau, Jos Miguel Hernndez-Lobato, Richard E. Turner, Douglas Eck |
| 2016 | ICASSP | End-to-end attention-based large vocabulary speech recognition. | Dzmitry Bahdanau, Jan Chorowski, Dmitriy Serdyuk, Philemon Brakel, Yoshua Bengio |
| 2014 | EMNLP | Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation. | Kyunghyun Cho, Bart van Merrienboer, aglar Glehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, Yoshua Bengio |