Jonathon Shlens

According to our database1, Jonathon Shlens authored at least 39 papers between 2005 and 2018.

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Bibliography

2018
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction.
CoRR, 2018

Do Better ImageNet Models Transfer Better?
CoRR, 2018

A dataset and architecture for visual reasoning with a working memory.
CoRR, 2018

A Dataset and Architecture for Visual Reasoning with a Working Memory.
Proceedings of the Computer Vision - ECCV 2018, 2018

Progressive Neural Architecture Search.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Progressive Neural Architecture Search.
CoRR, 2017

Recurrent Segmentation for Variable Computational Budgets.
CoRR, 2017

Learning Transferable Architectures for Scalable Image Recognition.
CoRR, 2017

YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video.
CoRR, 2017

PixColor: Pixel Recursive Colorization.
CoRR, 2017

Exploring the structure of a real-time, arbitrary neural artistic stylization network.
CoRR, 2017

Pixel Recursive Super Resolution.
CoRR, 2017

Conditional Image Synthesis with Auxiliary Classifier GANs.
Proceedings of the 34th International Conference on Machine Learning, 2017

Pixel Recursive Super Resolution.
Proceedings of the IEEE International Conference on Computer Vision, 2017

YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

PixColor: Pixel Recursive Colorization.
Proceedings of the British Machine Vision Conference 2017, 2017

Exploring the structure of a real-time, arbitrary neural artistic stylization network.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Conditional Image Synthesis With Auxiliary Classifier GANs.
CoRR, 2016

A Learned Representation For Artistic Style.
CoRR, 2016

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.
CoRR, 2016

Rethinking the Inception Architecture for Computer Vision.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Rethinking the Inception Architecture for Computer Vision.
CoRR, 2015

Adversarial Autoencoders.
CoRR, 2015

Net2Net: Accelerating Learning via Knowledge Transfer.
CoRR, 2015

2014
Deep Networks With Large Output Spaces.
CoRR, 2014

A Tutorial on Independent Component Analysis.
CoRR, 2014

Notes on Kullback-Leibler Divergence and Likelihood.
CoRR, 2014

Notes on Generalized Linear Models of Neurons.
CoRR, 2014

A Light Discussion and Derivation of Entropy.
CoRR, 2014

A Tutorial on Principal Component Analysis.
CoRR, 2014

Explaining and Harnessing Adversarial Examples.
CoRR, 2014

2013
Zero-Shot Learning by Convex Combination of Semantic Embeddings.
CoRR, 2013

Using Web Co-occurrence Statistics for Improving Image Categorization.
CoRR, 2013

DeViSE: A Deep Visual-Semantic Embedding Model.
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

Fast, Accurate Detection of 100, 000 Object Classes on a Single Machine.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Modeling the impact of common noise inputs on the network activity of retinal ganglion cells.
Journal of Computational Neuroscience, 2012

Three Controversial Hypotheses Concerning Computation in the Primate Cortex.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2007
Estimating Information Rates with Confidence Intervals in Neural Spike Trains.
Neural Computation, 2007

2005
Estimating Entropy Rates with Bayesian Confidence Intervals.
Neural Computation, 2005


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