Huang Yanping

Department of Computer Science and Engineering, University of Washington, Seattle, Washington, United States of America.

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GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism

Yanping Huang,Youlong Cheng,Ankur Bapna,Orhan Firat, Mia Xu Chen, Dehao Chen, HyoukJoong Lee,Jiquan Ngiam,Quoc V. Le,Yonghui Wu,Zhifeng Chen

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019)

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Regularized Evolution for Image Classifier Architecture Search

Esteban Real, Alok Aggarwal,Yanping Huang,Quoc V. Le

national conference on artificial intelligence, (2019)

Cited by676EIBibtex

Bayesian Inference and Online Learning in Poisson Neuronal Networks

Yanping Huang,Rajesh P. N. Rao

Neural Computation, no. 8 (2016): 1503-1526

Cited by9EIWOSBibtex

ChirpCast: Data Transmission via Audio

Francis Iannacci,Yanping Huang

CoRR, (2015)

Cited by5EIBibtex

Neurons as Monte Carlo samplers

Yanping Huang,Rajesh P. N. Rao

neural information processing systems, (2014)

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Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks

Yanping Huang,Rajesh P Rao

neural information processing systems, (2014)

Cited by30Bibtex

Reward optimization in the primate brain: a probabilistic model of decision making under uncertainty

Yanping Huang,Rajesh P N Rao

PloS one, no. 1 (2013): e53344-e53344

Cited by24WOSBibtex

How Prior Probability Influences Decision Making: A Unifying Probabilistic Model

Yanping Huang,Abram L. Friesen,Timothy D. Hanks,Michael N. Shadlen,Rajesh P. N. Rao

NIPS, pp.1277-1285, (2012)

Cited by20EIBibtex

How prior probability influences decision making

Yanping Huang,Abram L. Friesen,Timothy D. Hanks,Michael N. Shadlen,Rajesh P. N. Rao

neural information processing systems, (2012)

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Predictive coding: Predictive coding

Yanping Huang,Rajesh P. N. Rao

Wiley Interdisciplinary Reviews: Cognitive Science, no. 5 (2011): 580-593

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