Ian J. Goodfellow

According to our database1, Ian J. Goodfellow authored at least 23 papers between 2009 and 2018.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepages:

On csauthors.net:

Bibliography

2018
Making machine learning robust against adversarial inputs.
Commun. ACM, 2018

Realistic Evaluation of Deep Semi-Supervised Learning Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Adversarial Examples that Fool both Computer Vision and Time-Limited Humans.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Sanity Checks for Saliency Maps.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Is Generator Conditioning Causally Related to GAN Performance?
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
On the Protection of Private Information in Machine Learning Systems: Two Recent Approches.
Proceedings of the 30th IEEE Computer Security Foundations Symposium, 2017

Practical Black-Box Attacks against Machine Learning.
Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security, 2017

2016
Improved Techniques for Training GANs.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Unsupervised Learning for Physical Interaction through Video Prediction.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Improving the Robustness of Deep Neural Networks via Stability Training.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Deep Learning with Differential Privacy.
Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, 2016

Deep Learning.
Adaptive computation and machine learning, MIT Press, ISBN: 978-0-262-03561-3, 2016

2015
Challenges in representation learning: A report on three machine learning contests.
Neural Networks, 2015

2014
Generative Adversarial Nets.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

On the Challenges of Physical Implementations of RBMs.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Scaling Up Spike-and-Slab Models for Unsupervised Feature Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Multi-Prediction Deep Boltzmann Machines.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013


Maxout Networks.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
Unsupervised and Transfer Learning Challenge: a Deep Learning Approach.
Proceedings of the Unsupervised and Transfer Learning, 2012

Large-Scale Feature Learning With Spike-and-Slab Sparse Coding.
Proceedings of the 29th International Conference on Machine Learning, 2012

2010
Help me help you: interfaces for personal robots.
Proceedings of the 5th ACM/IEEE International Conference on Human Robot Interaction, 2010

2009
Measuring Invariances in Deep Networks.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009


  Loading...