Alex Lamb
Alex Lamb
Université de Montréal, Google Brain, Amazon, Twitch PhD Fellow
Verified email at amazon.com - Homepage
Title
Cited by
Cited by
Year
Adversarially learned inference
V Dumoulin, I Belghazi, B Poole, O Mastropietro, A Lamb, M Arjovsky, ...
arXiv preprint arXiv:1606.00704, 2016
8932016
Theano: A Python framework for fast computation of mathematical expressions
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv, arXiv: 1605.02688, 2016
735*2016
Professor Forcing: A New Algorithm for Training Recurrent Networks
A Goyal, A Lamb, Y Zhang, S Zhang, A Courville, Y Bengio
Neural Information Processing Systems (NIPS) 2016, 2016
308*2016
Separating fact from fear: Tracking flu infections on twitter
A Lamb, M Paul, M Dredze
Proceedings of the 2013 Conference of the North American Chapter of the …, 2013
2792013
Deep learning for classical Japanese literature
T Clanuwat, M Bober-Irizar, A Kitamoto, A Lamb, K Yamamoto, D Ha
arXiv preprint arXiv:1812.01718, 2018
1212018
Manifold mixup: Better representations by interpolating hidden states
V Verma, A Lamb, C Beckham, A Najafi, I Mitliagkas, A Courville, ...
International Conference on Machine Learning (ICML) 2019, and arXiv preprint …, 2018
1212018
Interpolation consistency training for semi-supervised learning
V Verma, A Lamb, J Kannala, Y Bengio, D Lopez-Paz
International Joint Conference on Artificial Intelligence (IJCAI) 2019, and …, 2019
1192019
Variance reduction in sgd by distributed importance sampling
G Alain, A Lamb, C Sankar, A Courville, Y Bengio
arXiv preprint arXiv:1511.06481, 2015
782015
Discriminative Regularization for Generative Models
A Lamb, V Dumoulin, A Courville
DeepVision Workshop (CVPR), 2016
642016
Manifold mixup: Encouraging meaningful on-manifold interpolation as a regularizer
V Verma, A Lamb, C Beckham, A Courville, I Mitliagkis, Y Bengio
arXiv preprint arXiv:1806.05236 8, 2018
432018
Recurrent independent mechanisms
A Goyal, A Lamb, J Hoffmann, S Sodhani, S Levine, Y Bengio, ...
arXiv preprint arXiv:1909.10893, 2019
312019
Fortified networks: Improving the robustness of deep networks by modeling the manifold of hidden representations
A Lamb, J Binas, A Goyal, D Serdyuk, S Subramanian, I Mitliagkas, ...
arXiv preprint arXiv:1804.02485, 2018
292018
Harm de Vries, David Warde-Farley, Dustin J
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, and …, 2016
272016
Investigating Twitter as a Source for Studying Behavioral Responses to Epidemics.
A Lamb, MJ Paul, M Dredze
AAAI Fall Symposium: Information Retrieval and Knowledge Discovery in …, 2012
142012
KuroNet: Pre-Modern Japanese Kuzushiji Character Recognition with Deep Learning
T Clanuwat, A Lamb, A Kitamoto
International Conference on Document Analysis and Recognition (ICDAR) 2019, 2019
132019
Graphmix: Regularized training of graph neural networks for semi-supervised learning
V Verma, M Qu, A Lamb, Y Bengio, J Kannala, J Tang
arXiv preprint arXiv:1909.11715, 2019
122019
On adversarial mixup resynthesis
C Beckham, S Honari, V Verma, AM Lamb, F Ghadiri, RD Hjelm, Y Bengio, ...
Advances in neural information processing systems, 4346-4357, 2019
122019
Interpolated adversarial training: Achieving robust neural networks without sacrificing too much accuracy
A Lamb, V Verma, J Kannala, Y Bengio
Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security …, 2019
112019
Manifold mixup: learning better representations by interpolating hidden states
V Verma, A Lamb, C Beckham, A Najafi, A Courville, I Mitliagkas, ...
112018
Theano: A Python framework for fast computation of mathematical expressions. arXiv e-prints abs/1605.02688 (May 2016)
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
URL http://arxiv. org/abs/1605.02688, 2016
102016
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