Tegan Maharaj
TytułCytowane przezRok
A closer look at memorization in deep networks
D Arpit, S Jastrzębski, N Ballas, D Krueger, E Bengio, MS Kanwal, ...
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
2462017
Zoneout: Regularizing rnns by randomly preserving hidden activations
D Krueger, T Maharaj, J Kramár, M Pezeshki, N Ballas, NR Ke, A Goyal, ...
arXiv preprint arXiv:1606.01305, 2016
1782016
Tackling climate change with machine learning
D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ...
arXiv preprint arXiv:1906.05433, 2019
47*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
452017
A dataset and exploration of models for understanding video data through fill-in-the-blank question-answering
T Maharaj, N Ballas, A Rohrbach, A Courville, C Pal
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
282017
Deep Nets Don't Learn via Memorization
D Krueger, N Ballas, S Jastrzebski, D Arpit, MS Kanwal, T Maharaj, ...
262017
Semi-supervised detection of extreme weather events in large climate datasets
E Racah, C Beckham, T Maharaj, C Pal
arXiv preprint arXiv:1612.02095, 2016
132016
A closer look at memorization in deep networks
D Krueger, N Ballas, S Jastrzebski, D Arpit, MS Kanwal, T Maharaj, ...
International Conference on Machine Learning (ICML), 2017
112017
Surprisal-driven zoneout
K Rocki, T Kornuta, T Maharaj
arXiv preprint arXiv:1610.07675, 2016
72016
Deep Learning for Extreme Weather Detection
M Prabhat, E Racah, J Biard, Y Liu, M Mudigonda, K Kashinath, ...
AGU Fall Meeting Abstracts, 2017
22017
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
12017
Deep Learning recognizes weather and climate patterns
K Kashinath, M Prabhat, M Mudigonda, A Mahesh, SK Kim, Y Liu, ...
AGU Fall Meeting Abstracts, 2018
2018
Reserve Output Units for Deep Open-Set Learning
T Maharaj, D Krueger
2018
PRACTICAL APPLICATIONS OF BIOLOGICAL REALISM IN ARTIFICIAL NEURAL NETWORKS
T MAHARAJ
2015
MISLEADING META-OBJECTIVES AND HIDDEN INCEN-TIVES FOR DISTRIBUTIONAL SHIFT
D Krueger, T Maharaj, S Legg, J Leike
Memorization in Recurrent Neural Networks
T Maharaj, D Krueger, T Coojimans
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