Sökresultat - "Hjelm, R Devon"

Robust Contrastive Learning against Noisy Views

Chuang, Ching-Yao, Hjelm, R Devon, Wang, Xin, Vineet, Vibhav, Joshi, Neel, Torralba, Antonio, Jegelka, Stefanie, Song, Yale

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

PatchBlender: A Motion Prior for Video Transformers

Prato, Gabriele, Song, Yale, Rajendran, Janarthanan, Hjelm, R Devon, Joshi, Neel, Chandar, Sarath

Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes

Fedorov, Alex, Geenjaar, Eloy, Wu, Lei, Sylvain, Tristan, DeRamus, Thomas P., Luck, Margaux, Misiura, Maria, Hjelm, R Devon, Plis, Sergey M., Calhoun, Vince D.

Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction

El-Nouby, Alaaeldin, Sharma, Shikhar, Schulz, Hannes, Hjelm, R Devon, Asri, Layla El, Kahou, Samira Ebrahimi, Bengio, Yoshua, Taylor, Graham

2019 IEEE/CVF International Conference on Computer Vision (ICCV)

The Sandbox Environment for Generalizable Agent Research (SEGAR)

Hjelm, R Devon, Mazoure, Bogdan, Golemo, Florian, Kahou, Samira Ebrahimi, Braga, Pedro, Frujeri, Felipe, Jalobeanu, Mihai, Kolobov, Andrey

Prediction of Progression to Alzheimer's disease with Deep InfoMax

Fedorov, Alex, Hjelm, R Devon, Abrol, Anees, Fu, Zening, Du, Yuhui, Plis, Sergey, Calhoun, Vince D.

2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)

Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL

Mazoure, Bogdan, Ahmed, Ahmed M., MacAlpine, Patrick, Hjelm, R Devon, Kolobov, Andrey

Understanding by Understanding Not: Modeling Negation in Language Models

Hosseini, Arian, Reddy, Siva, Bahdanau, Dzmitry, Hjelm, R Devon, Sordoni, Alessandro, Courville, Aaron

Zero-Shot Learning from scratch (ZFS): leveraging local compositional representations

Sylvain, Tristan, Petrini, Linda, Hjelm, R Devon

Implicit Regularization via Neural Feature Alignment

Baratin, Aristide, George, Thomas, Laurent, César, Hjelm, R Devon, Lajoie, Guillaume, Vincent, Pascal, Lacoste-Julien, Simon

Representation Learning with Video Deep InfoMax

Hjelm, R Devon, Bachman, Philip

Data-Efficient Reinforcement Learning with Self-Predictive Representations

Schwarzer, Max, Anand, Ankesh, Goel, Rishab, Hjelm, R Devon, Courville, Aaron, Bachman, Philip

Self-supervised multimodal learning for group inferences from MRI data: Discovering disorder-relevant brain regions and multimodal links

Fedorov, Alex, Geenjaar, Eloy, Wu, Lei, Sylvain, Tristan, DeRamus, Thomas P., Luck, Margaux, Misiura, Maria, Mittapalle, Girish, Hjelm, R. Devon, Plis, Sergey M., Calhoun, Vince D.

Deep Reinforcement and InfoMax Learning

Mazoure, Bogdan, Combes, Remi Tachet des, Doan, Thang, Bachman, Philip, Hjelm, R Devon

Object-Centric Image Generation from Layouts

Sylvain, Tristan, Zhang, Pengchuan, Bengio, Yoshua, Hjelm, R Devon, Sharma, Shikhar

An end-to-end approach for the verification problem: learning the right distance

Monteiro, Joao, Albuquerque, Isabela, Alam, Jahangir, Hjelm, R Devon, Falk, Tiago

Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning

Doan, Thang, Mazoure, Bogdan, Abdar, Moloud, Durand, Audrey, Pineau, Joelle, Hjelm, R Devon

Unsupervised State Representation Learning in Atari

Anand, Ankesh, Racah, Evan, Ozair, Sherjil, Bengio, Yoshua, Côté, Marc-Alexandre, Hjelm, R Devon

Learning Representations by Maximizing Mutual Information Across Views

Bachman, Philip, Hjelm, R Devon, Buchwalter, William

Batch weight for domain adaptation with mass shift

Bińkowski, Mikołaj, Hjelm, R Devon, Courville, Aaron