R. Devon Hjelm
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
9
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons. | Andrew Szot, Bogdan Mazoure, Omar Attia, Aleksei Timofeev, Harsh Agrawal, R. Devon Hjelm, Zhe Gan, Zsolt Kira, Alexander Toshev |
| 2025 | ICLR | On the Modeling Capabilities of Large Language Models for Sequential Decision Making. | Martin Klissarov, R. Devon Hjelm, Alexander T. Toshev, Bogdan Mazoure |
| 2024 | ICLR | Poly-View Contrastive Learning. | Amitis Shidani, R. Devon Hjelm, Jason Ramapuram, Russell Webb, Eeshan Gunesh Dhekane, Dan Busbridge |
| 2024 | ICLR | Large Language Models as Generalizable Policies for Embodied Tasks. | Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Rin Metcalf, Walter Talbott, Natalie Mackraz, R. Devon Hjelm, Alexander T. Toshev |
| 2022 | CVPR | Robust Contrastive Learning against Noisy Views. | Ching-Yao Chuang, R. Devon Hjelm, Xin Wang, Vibhav Vineet, Neel Joshi, Antonio Torralba, Stefanie Jegelka, Yale Song |
| 2022 | ICLR | Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL. | Bogdan Mazoure, Ahmed M. Ahmed, R. Devon Hjelm, Andrey Kolobov, Patrick MacAlpine |
| 2021 | AAAI | Object-Centric Image Generation from Layouts. | Tristan Sylvain, Pengchuan Zhang, Yoshua Bengio, R. Devon Hjelm, Shikhar Sharma |
| 2021 | AISTATS | Implicit Regularization via Neural Feature Alignment. | Aristide Baratin, Thomas George, Csar Laurent, R. Devon Hjelm, Guillaume Lajoie, Pascal Vincent, Simon Lacoste-Julien |
| 2021 | ICASSP | CMIM: Cross-Modal Information Maximization For Medical Imaging. | Tristan Sylvain, Francis Dutil, Tess Berthier, Lisa Di-Jorio, Margaux Luck, R. Devon Hjelm, Yoshua Bengio |
| 2021 | ICLR | Data-Efficient Reinforcement Learning with Self-Predictive Representations. | Max Schwarzer, Ankesh Anand, Rishab Goel, R. Devon Hjelm, Aaron C. Courville, Philip Bachman |
| 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 |
| 2020 | ICLR | Locality and Compositionality in Zero-Shot Learning. | Tristan Sylvain, Linda Petrini, R. Devon Hjelm |
| 2020 | ICML | An end-to-end approach for the verification problem: learning the right distance. | Joo Monteiro, Isabela Albuquerque, Jahangir Alam, R. Devon Hjelm, Tiago H. Falk |
| 2019 | AAAI | On-Line Adaptative Curriculum Learning for GANs. | Thang Doan, Joo Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm |
| 2019 | CoRL | Leveraging exploration in off-policy algorithms via normalizing flows. | Bogdan Mazoure, Thang Doan, Audrey Durand, Joelle Pineau, R. Devon Hjelm |
| 2019 | ICCV | Batch Weight for Domain Adaptation With Mass Shift. | Mikolaj Binkowski, R. Devon Hjelm, Aaron C. Courville |
| 2019 | ICCV | Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction. | Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, R. Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham W. Taylor |
| 2019 | ICLR | Adversarial Mixup Resynthesizers. | Christopher Beckham, Sina Honari, Alex Lamb, Vikas Verma, Farnoosh Ghadiri, R. Devon Hjelm, Christopher J. Pal |
| 2019 | ICLR | Learning deep representations by mutual information estimation and maximization. | R. Devon Hjelm, Alex Fedorov, Samuel Lavoie-Marchildon, Karan Grewal, Philip Bachman, Adam Trischler, Yoshua Bengio |
| 2019 | ICLR | Deep Graph Infomax. | Petar Velickovic, William Fedus, William L. Hamilton, Pietro Li, Yoshua Bengio, R. Devon Hjelm |
| 2018 | ICLR | Boundary Seeking GANs. | R. Devon Hjelm, Athul Paul Jacob, Adam Trischler, Gerry Che, Kyunghyun Cho, Yoshua Bengio |
| 2018 | ICML | Mutual Information Neural Estimation. | Mohamed Ishmael Belghazi, Aristide Baratin, Sai Rajeswar, Sherjil Ozair, Yoshua Bengio, R. Devon Hjelm, Aaron C. Courville |
| 2017 | ICASSP | A deep-learning approach to translate between brain structure and functional connectivity. | Vince D. Calhoun, Md Faijul Amin, R. Devon Hjelm, Eswar Damaraju, Sergey M. Plis |