# Chiyuan Zhang

According to our database

Collaborative distances:

^{1}, Chiyuan Zhang authored at least 31 papers between 2010 and 2019.Collaborative distances:

## Timeline

#### Legend:

Book In proceedings Article PhD thesis Other## Links

#### On csauthors.net:

## Bibliography

2019

Transfusion: Understanding Transfer Learning with Applications to Medical Imaging.

CoRR, 2019

Identity Crisis: Memorization and Generalization under Extreme Overparameterization.

CoRR, 2019

Are All Layers Created Equal?

CoRR, 2019

2018

Unrestricted Adversarial Examples.

CoRR, 2018

A Study on Overfitting in Deep Reinforcement Learning.

CoRR, 2018

Machine Theory of Mind.

CoRR, 2018

Theory of Deep Learning IIb: Optimization Properties of SGD.

CoRR, 2018

Machine Theory of Mind.

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Decentralized State-Observer-Based Traffic Density Estimation of Large-Scale Urban Freeway Network by Dynamic Model.

Information, 2017

Distributed state-observer-based traffic density estimation of urban freeway network.

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Understanding deep learning requires rethinking generalization.

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

A-Optimal Projection for Image Representation.

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Understanding deep learning requires rethinking generalization.

CoRR, 2016

Training Deep Nets with Sublinear Memory Cost.

CoRR, 2016

2015

Learning with a Wasserstein Loss.

CoRR, 2015

MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems.

CoRR, 2015

Learning with a Wasserstein Loss.

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Discriminative template learning in group-convolutional networks for invariant speech representations.

Proceedings of the INTERSPEECH 2015, 2015

2014

A Deep Representation for Invariance And Music Classification.

CoRR, 2014

Learning An Invariant Speech Representation.

CoRR, 2014

Phone classification by a hierarchy of invariant representation layers.

Proceedings of the INTERSPEECH 2014, 2014

Word-level invariant representations from acoustic waveforms.

Proceedings of the INTERSPEECH 2014, 2014

A deep representation for invariance and music classification.

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Image Compression by Learning to Minimize the Total Error.

IEEE Trans. Circuits Syst. Video Techn., 2013

Parallel vector field embedding.

Journal of Machine Learning Research, 2013

Combining Active and Semi-Supervised Learning for Video Compression.

Int. J. Software and Informatics, 2013

2012

Multi-task Vector Field Learning.

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

A Variance Minimization Criterion to Feature Selection Using Laplacian Regularization.

IEEE Trans. Pattern Anal. Mach. Intell., 2011

Semi-supervised Regression via Parallel Field Regularization.

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Orthogonal Projection Analysis.

Proceedings of the Intelligent Science and Intelligent Data Engineering, 2011

2010

Unsupervised feature selection for multi-cluster data.

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010