Yichuan Tang

According to our database1, Yichuan Tang authored at least 16 papers between 2010 and 2016.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2016
Learning Deep Convolutional Neural Networks for X-Ray Protein Crystallization Image Analysis.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

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

2014
Learning Generative Models with Visual Attention.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013
Learning generative models with visual attention.
CoRR, 2013

Deep Learning using Support Vector Machines.
CoRR, 2013

Challenges in Representation Learning: A report on three machine learning contests.
CoRR, 2013

Learning Stochastic Feedforward Neural Networks.
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


Tensor Analyzers.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
Multiresolution Deep Belief Networks.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Deep Mixtures of Factor Analysers
CoRR, 2012

Deep Lambertian Networks.
Proceedings of the 29th International Conference on Machine Learning, 2012

Deep Mixtures of Factor Analysers.
Proceedings of the 29th International Conference on Machine Learning, 2012

Robust Boltzmann Machines for recognition and denoising.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
A biologically realistic cleanup memory: Autoassociation in spiking neurons.
Cognitive Systems Research, 2011

2010
Deep networks for robust visual recognition.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


  Loading...