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Christopher Beckham
Christopher Beckham
Institut Québécois d'Intelligence Artificielle
Verified email at polymtl.ca - Homepage
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Cited by
Cited by
Year
Manifold mixup: Better representations by interpolating hidden states
V Verma, A Lamb, C Beckham, A Najafi, I Mitliagkas, D Lopez-Paz, ...
International Conference on Machine Learning, 6438-6447, 2019
731*2019
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events
E Racah, C Beckham, T Maharaj, SE Kahou, M Prabhat, C Pal
Advances in Neural Information Processing Systems, 3402-3413, 2017
1772017
Wekadeeplearning4j: A deep learning package for weka based on deeplearning4j
S Lang, F Bravo-Marquez, C Beckham, M Hall, E Frank
Knowledge-Based Systems 178, 48-50, 2019
912019
Unimodal probability distributions for deep ordinal classification
C Beckham, C Pal
International Conference on Machine Learning, 411-419, 2017
572017
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
442019
A simple squared-error reformulation for ordinal classification
C Beckham, C Pal
arXiv preprint arXiv:1612.00775, 2016
292016
Unsupervised depth estimation, 3D face rotation and replacement
JRA Moniz, C Beckham, S Rajotte, S Honari, C Pal
Advances in Neural Information Processing Systems, 9736-9746, 2018
272018
A step towards procedural terrain generation with GANs
C Beckham, C Pal
arXiv preprint arXiv:1707.03383, 2017
252017
Semi-supervised detection of extreme weather events in large climate datasets
E Racah, C Beckham, T Maharaj, C Pal
182016
WekaPyScript: Classification, regression, and filter schemes for WEKA implemented in Python
CJ Beckham, MA Hall, E Frank
122016
Boosting segmentation with weak supervision from image-to-image translation
E Vorontsov, P Molchanov, W Byeon, S De Mello, V Jampani, MY Liu, ...
arXiv preprint arXiv:1904.01636 42, 2019
102019
Deep learning for extreme weather detection
M Prabhat, E Racah, J Biard, Y Liu, M Mudigonda, K Kashinath, ...
AGU Fall Meeting Abstracts 2017, IN11A-0022, 2017
52017
ClimateNet: a machine learning dataset for climate science research
M Prabhat, J Biard, S Ganguly, S Ames, K Kashinath, SK Kim, S Kahou, ...
AGU fall meeting abstracts 2017, IN13E-01, 2017
42017
Deep Learning for Detecting Extreme Weather Patterns
M Mudigonda, P Ram, K Kashinath, E Racah, A Mahesh, Y Liu, ...
Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote …, 2021
22021
Towards annotation-efficient segmentation via image-to-image translation
E Vorontsov, P Molchanov, M Gazda, C Beckham, J Kautz, S Kadoury
Medical Image Analysis 82, 102624, 2022
12022
Towards good validation metrics for generative models in offline model-based optimisation
C Beckham, A Piche, D Vazquez, C Pal
arXiv preprint arXiv:2211.10747, 2022
2022
Challenges in leveraging GANs for few-shot data augmentation
C Beckham, I Laradji, P Rodriguez, D Vazquez, D Nowrouzezahrai, C Pal
arXiv preprint arXiv:2203.16662, 2022
2022
Visual Question Answering From Another Perspective: CLEVR Mental Rotation Tests
C Beckham, M Weiss, F Golemo, S Honari, D Nowrouzezahrai, C Pal
https://openreview.net/forum?id=aYbCpFNnHdh, 2020
2020
Boosting segmentation with weak supervision from image-to-image translation
E Vorontsov, P Molchanov, W Byeon, S De Mello, V Jampani, MY Liu, ...
arXiv preprint arXiv:1904.01636 42, 2019
2019
Deep Learning recognizes weather and climate patterns
K Kashinath, M Prabhat, M Mudigonda, A Mahesh, SK Kim, Y Liu, ...
AGU Fall Meeting Abstracts 2018, IN14A-07, 2018
2018
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