متابعة
R Devon Hjelm
R Devon Hjelm
Apple MLR, Mila
بريد إلكتروني تم التحقق منه على apple.com - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Learning deep representations by mutual information estimation and maximization‏
RD Hjelm, A Fedorov, S Lavoie-Marchildon, K Grewal, P Bachman, ...‏
arXiv preprint arXiv:1808.06670, 2018‏
33022018
Deep Graph Infomax.‏
P Velickovic, W Fedus, WL Hamilton, P Liò, Y Bengio, RD Hjelm‏
ICLR (Poster), 2019‏
3029*2019
Mutual information neural estimation‏
MI Belghazi, A Baratin, S Rajeshwar, S Ozair, Y Bengio, A Courville, ...‏
International conference on machine learning, 531-540, 2018‏
2309*2018
Learning representations by maximizing mutual information across views‏
P Bachman, RD Hjelm, W Buchwalter‏
Advances in neural information processing systems 32, 2019‏
17552019
Deep learning for neuroimaging: a validation study‏
SM Plis, DR Hjelm, R Salakhutdinov, EA Allen, HJ Bockholt, JD Long, ...‏
Frontiers in neuroscience 8, 229, 2014‏
7032014
Data-Efficient Reinforcement Learning with Self-Predictive Representations‏
M Schwarzer, A Anand, R Goel, RD Hjelm, A Courville, P Bachman‏
3992021
Maximum-likelihood augmented discrete generative adversarial networks‏
T Che, Y Li, R Zhang, RD Hjelm, W Li, Y Song, Y Bengio‏
arXiv preprint arXiv:1702.07983, 2017‏
3242017
Unsupervised state representation learning in atari‏
A Anand, E Racah, S Ozair, Y Bengio, MA Côté, RD Hjelm‏
Advances in neural information processing systems 32, 2019‏
3192019
Assessing dynamic brain graphs of time-varying connectivity in fMRI data: application to healthy controls and patients with schizophrenia‏
Q Yu, EB Erhardt, J Sui, Y Du, H He, D Hjelm, MS Cetin, S Rachakonda, ...‏
Neuroimage 107, 345-355, 2015‏
2582015
Boundary-seeking generative adversarial networks‏
RD Hjelm, AP Jacob, T Che, A Trischler, K Cho, Y Bengio‏
arXiv preprint arXiv:1702.08431, 2017‏
2292017
Restricted Boltzmann Machines for Neuroimaging: an Application in Identifying Intrinsic Networks‏
D Hjelm, V Calhoun, EA Allen, T Adali, R Salakhutdinov, SM Plis‏
NeuroImage, in Press, 2014‏
1832014
Pretraining representations for data-efficient reinforcement learning‏
M Schwarzer, N Rajkumar, M Noukhovitch, A Anand, L Charlin, RD Hjelm, ...‏
Advances in Neural Information Processing Systems 34, 12686-12699, 2021‏
1572021
Tell, draw, and repeat: Generating and modifying images based on continual linguistic instruction‏
A El-Nouby, S Sharma, H Schulz, D Hjelm, LE Asri, SE Kahou, Y Bengio, ...‏
Proceedings of the IEEE/CVF international conference on computer vision …, 2019‏
157*2019
Deep reinforcement and infomax learning‏
B Mazoure, R Tachet des Combes, TL Doan, P Bachman, RD Hjelm‏
Advances in Neural Information Processing Systems 33, 3686-3698, 2020‏
1262020
Object-centric image generation from layouts‏
T Sylvain, P Zhang, Y Bengio, RD Hjelm, S Sharma‏
Proceedings of the AAAI Conference on Artificial Intelligence 35 (3), 2647-2655, 2021‏
1162021
Robust contrastive learning against noisy views‏
CY Chuang, RD Hjelm, X Wang, V Vineet, N Joshi, A Torralba, S Jegelka, ...‏
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022‏
932022
Understanding by understanding not: Modeling negation in language models‏
A Hosseini, S Reddy, D Bahdanau, RD Hjelm, A Sordoni, A Courville‏
arXiv preprint arXiv:2105.03519, 2021‏
912021
Implicit regularization via neural feature alignment‏
A Baratin, T George, C Laurent, RD Hjelm, G Lajoie, P Vincent, ...‏
International Conference on Artificial Intelligence and Statistics, 2269-2277, 2021‏
78*2021
On adversarial mixup resynthesis‏
C Beckham, S Honari, V Verma, AM Lamb, F Ghadiri, RD Hjelm, Y Bengio, ...‏
Advances in neural information processing systems 32, 2019‏
782019
Leveraging exploration in off-policy algorithms via normalizing flows‏
B Mazoure, T Doan, A Durand, J Pineau, RD Hjelm‏
Conference on Robot Learning, 430-444, 2020‏
682020
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20