Stephen W. Tyree

NVIDIA

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Main Field of Interest:
Machine Learning and Artificial Intelligence
Additional Research Areas:
Computer Vision
Machine Learning and Artificial Intelligence
Robotics

Papers25 papers

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Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera

Jonathan Tremblay,Stephen Tyree, Terry Mosier, Stan Birchfield

Bibtex

How to Close Sim-Real Gap? Transfer with Segmentation

Yan Mengyuan, Sun Qingyun,Frosio Iuri,Tyree Stephen,Kautz Jan

Bibtex

Importance Estimation for Neural Network Pruning

Pavlo Molchanov,Arun Mallya,Stephen Tyree,Iuri Frosio,Jan Kautz

CVPR, (2019): 11264-11272

Cited by42EIBibtex

Exact Gaussian Processes on a Million Data Points

Ke Alexander Wang,Geoff Pleiss,Jacob R. Gardner,Stephen Tyree,Kilian Q. Weinberger,Andrew Gordon Wilson

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 14622-14632

Cited by42EIBibtex

Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations

Jonathan Tremblay, Thang To, Artem Molchanov,Stephen Tyree,Jan Kautz,Stan Birchfield

ICRA, (2018): 1-5

Cited by24EIBibtex

Improving Landmark Localization with Semi-Supervised Learning

Sina Honari,Pavlo Molchanov,Stephen Tyree,Pascal Vincent,Christopher Joseph Pal,Jan Kautz

computer vision and pattern recognition, (2018)

Cited by82EIBibtex

Pruning Convolutional Neural Networks for Resource Efficient Inference

Pavlo Molchanov,Stephen Tyree,Tero Karras,Timo Aila,Jan Kautz

international conference on learning representations, (2017)

Cited by783EIBibtex

Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU

Mohammad Babaeizadeh,Iuri Frosio,Stephen Tyree,Jason Clemons,Jan Kautz

international conference on learning representations, (2017)

Cited by12EIBibtex

Sim-to-Real Transfer of Accurate Grasping with Eye-In-Hand Observations and Continuous Control

Mengyuan Yan,Iuri Frosio,Stephen Tyree,Jan Kautz

arXiv: Robotics, (2017)

Cited by2EIBibtex

A Lightweight Approach for On-the-Fly Reflectance Estimation

Kihwan Kim,Jinwei Gu,Stephen Tyree,Pavlo Molchanov,Matthias Nießner,Jan Kautz

ICCV, (2017): 20-28

Cited by23EIBibtex

Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks

Pavlo Molchanov,Xiaodong Yang,Shalini Gupta,Kihwan Kim,Stephen Tyree,Jan Kautz

CVPR, pp.4207-4215, (2016)

Cited by256EIBibtex

GA3C: GPU-based A3C for Deep Reinforcement Learning

Mohammad Babaeizadeh,Iuri Frosio,Stephen Tyree,Jason Clemons,Jan Kautz

arXiv: Learning, (2016)

Cited by8EIBibtex

Towards selecting robust hand gestures for automotive interfaces

Shalini Gupta,Pavlo Molchanov,Xiaodong Yang,Kihwan Kim,Stephen Tyree,Jan Kautz

Intelligent Vehicles Symposium, pp.1350-1357, (2016)

Cited by16EIBibtex

Compressing Convolutional Neural Networks

Wenlin Chen,James T Wilson,Stephen Tyree,Kilian Q Weinberger,Yixin Chen

CoRR, (2015)

Cited by54EIBibtex

Compressed Support Vector Machines

Zhixiang Eddie Xu,Jacob R. Gardner,Stephen Tyree,Kilian Q. Weinberger

arXiv: Learning, (2015)

Cited by4EIBibtex

Image Data Compression for Covariance and Histogram Descriptors

Matt Kusner,Nicholas I Kolkin,Stephen Tyree,Kilian Q Weinberger

(2014)

Cited by1Bibtex

Stochastic Neighbor Compression

Matt J. Kusner,Stephen Tyree,Kilian Q. Weinberger,Kunal Agrawal

ICML, pp.622-630, (2014)

Cited by62EIBibtex

Marginalizing Corrupted Features

Laurens van der Maaten,Minmin Chen,Stephen Tyree,Kilian Q. Weinberger

CoRR, (2014)

Cited by4EIBibtex

Parallel Support Vector Machines in Practice

Stephen Tyree,Jacob R. Gardner,Kilian Q. Weinberger,Kunal Agrawal,John Tran

CoRR, (2014)

Cited by25EIBibtex

Learning with Marginalized Corrupted Features

Laurens van der Maaten,Minmin Chen,Stephen Tyree,Kilian Q. Weinberger

ICML, pp.410-418, (2013)

Cited by158EIBibtex

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