Alex Lamb

According to our database1, Alex Lamb authored at least 13 papers between 2012 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Manifold Mixup: Encouraging Meaningful On-Manifold Interpolation as a Regularizer.
CoRR, 2018

Fortified Networks: Improving the Robustness of Deep Networks by Modeling the Manifold of Hidden Representations.
CoRR, 2018

2017
GibbsNet: Iterative Adversarial Inference for Deep Graphical Models.
CoRR, 2017

ACtuAL: Actor-Critic Under Adversarial Learning.
CoRR, 2017

GibbsNet: Iterative Adversarial Inference for Deep Graphical Models.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Professor Forcing: A New Algorithm for Training Recurrent Networks.
CoRR, 2016

Discriminative Regularization for Generative Models.
CoRR, 2016

Adversarially Learned Inference.
CoRR, 2016

Theano: A Python framework for fast computation of mathematical expressions.
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CoRR, 2016

Professor Forcing: A New Algorithm for Training Recurrent Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Variance Reduction in SGD by Distributed Importance Sampling.
CoRR, 2015

2013
Separating Fact from Fear: Tracking Flu Infections on Twitter.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

2012
Investigating Twitter as a Source for Studying Behavioral Responses to Epidemics.
Proceedings of the Information Retrieval and Knowledge Discovery in Biomedical Text, 2012


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