Quoc V. Le

According to our database1, Quoc V. Le authored at least 108 papers between 2005 and 2018.

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Bibliography

2018
DropBlock: A regularization method for convolutional networks.
CoRR, 2018

Semi-Supervised Sequence Modeling with Cross-View Training.
CoRR, 2018

MnasNet: Platform-Aware Neural Architecture Search for Mobile.
CoRR, 2018

Stochastic natural gradient descent draws posterior samples in function space.
CoRR, 2018

A Simple Method for Commonsense Reasoning.
CoRR, 2018

AutoAugment: Learning Augmentation Policies from Data.
CoRR, 2018

Do Better ImageNet Models Transfer Better?
CoRR, 2018

QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension.
CoRR, 2018

Learning Longer-term Dependencies in RNNs with Auxiliary Losses.
CoRR, 2018

Efficient Neural Architecture Search via Parameter Sharing.
CoRR, 2018

Regularized Evolution for Image Classifier Architecture Search.
CoRR, 2018

Scalable and accurate deep learning for electronic health records.
CoRR, 2018

Neural Program Synthesis with Priority Queue Training.
CoRR, 2018

Learning Longer-term Dependencies in RNNs with Auxiliary Losses.
Proceedings of the 35th International Conference on Machine Learning, 2018

Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games?
Proceedings of the 35th International Conference on Machine Learning, 2018

Efficient Neural Architecture Search via Parameter Sharing.
Proceedings of the 35th International Conference on Machine Learning, 2018

Understanding and Simplifying One-Shot Architecture Search.
Proceedings of the 35th International Conference on Machine Learning, 2018

Evolving modular neural sequence architectures with genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Semi-Supervised Sequence Modeling with Cross-View Training.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation.
TACL, 2017

Intriguing Properties of Adversarial Examples.
CoRR, 2017

Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games?
CoRR, 2017

Don't Decay the Learning Rate, Increase the Batch Size.
CoRR, 2017

A Bayesian Perspective on Generalization and Stochastic Gradient Descent.
CoRR, 2017

Searching for Activation Functions.
CoRR, 2017

Neural Optimizer Search with Reinforcement Learning.
CoRR, 2017

Learning Transferable Architectures for Scalable Image Recognition.
CoRR, 2017

Learning to Skim Text.
CoRR, 2017

Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model.
CoRR, 2017

Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.
CoRR, 2017

Large-Scale Evolution of Image Classifiers.
CoRR, 2017

Device Placement Optimization with Reinforcement Learning.
CoRR, 2017

Massive Exploration of Neural Machine Translation Architectures.
CoRR, 2017

Effective Domain Mixing for Neural Machine Translation.
Proceedings of the Second Conference on Machine Translation, 2017


Large-Scale Evolution of Image Classifiers.
Proceedings of the 34th International Conference on Machine Learning, 2017

Device Placement Optimization with Reinforcement Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017

Neural Optimizer Search with Reinforcement Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017

Unsupervised Pretraining for Sequence to Sequence Learning.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Learning to Skim Text.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Neural Architecture Search with Reinforcement Learning.
CoRR, 2016

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation.
CoRR, 2016

Unsupervised Pretraining for Sequence to Sequence Learning.
CoRR, 2016

Learning a Natural Language Interface with Neural Programmer.
CoRR, 2016

Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation.
CoRR, 2016

HyperNetworks.
CoRR, 2016

Latent Sequence Decompositions.
CoRR, 2016

Neural Combinatorial Optimization with Reinforcement Learning.
CoRR, 2016

End-to-end Learning for Text and Speech.
Proceedings of the 9th ISCA Speech Synthesis Workshop, 2016

An Online Sequence-to-Sequence Model Using Partial Conditioning.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Listen, attend and spell: A neural network for large vocabulary conversational speech recognition.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
A Neural Conversational Model.
CoRR, 2015

Adding Gradient Noise Improves Learning for Very Deep Networks.
CoRR, 2015

Neural Programmer: Inducing Latent Programs with Gradient Descent.
CoRR, 2015

Multi-task Sequence to Sequence Learning.
CoRR, 2015

A Simple Way to Initialize Recurrent Networks of Rectified Linear Units.
CoRR, 2015

An Online Sequence-to-Sequence Model Using Partial Conditioning.
CoRR, 2015

Document Embedding with Paragraph Vectors.
CoRR, 2015

Semi-supervised Sequence Learning.
CoRR, 2015

Listen, Attend and Spell.
CoRR, 2015

Semi-supervised Sequence Learning.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Addressing the Rare Word Problem in Neural Machine Translation.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Grounded Compositional Semantics for Finding and Describing Images with Sentences.
TACL, 2014

Sequence to Sequence Learning with Neural Networks.
CoRR, 2014

Addressing the Rare Word Problem in Neural Machine Translation.
CoRR, 2014

Fastfood: Approximate Kernel Expansions in Loglinear Time.
CoRR, 2014

Distributed Representations of Sentences and Documents.
CoRR, 2014

Sequence to Sequence Learning with Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Distributed Representations of Sentences and Documents.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Exploiting Similarities among Languages for Machine Translation.
CoRR, 2013

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

Fastfood - Computing Hilbert Space Expansions in loglinear time.
Proceedings of the 30th International Conference on Machine Learning, 2013

On rectified linear units for speech processing.
Proceedings of the IEEE International Conference on Acoustics, 2013

Building high-level features using large scale unsupervised learning.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Large Scale Distributed Deep Networks.
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

Learning invariant features of tumor signatures.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Recurrent Neural Networks for Noise Reduction in Robust ASR.
Proceedings of the INTERSPEECH 2012, 2012

Building high-level features using large scale unsupervised learning.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Building high-level features using large scale unsupervised learning
CoRR, 2011

ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning.
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

On optimization methods for deep learning.
Proceedings of the 28th International Conference on Machine Learning, 2011

Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Bundle Methods for Regularized Risk Minimization.
Journal of Machine Learning Research, 2010

Tiled convolutional neural networks.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Grasping novel objects with depth segmentation.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Low-cost accelerometers for robotic manipulator perception.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Learning to grasp objects with multiple contact points.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

2009
Learning Graph Matching.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Estimating Labels from Label Proportions.
Journal of Machine Learning Research, 2009

Measuring Invariances in Deep Networks.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Joint calibration of multiple sensors.
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

Scalable learning for object detection with GPU hardware.
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

High-accuracy 3D sensing for mobile manipulation: Improving object detection and door opening.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Proximal regularization for online and batch learning.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
Learning Graph Matching
CoRR, 2008

Tighter Bounds for Structured Estimation.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Estimating labels from label proportions.
Proceedings of the Machine Learning, 2008

2007
Direct Optimization of Ranking Measures
CoRR, 2007

COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking .
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Bundle Methods for Machine Learning.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

A scalable modular convex solver for regularized risk minimization.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Learning Graph Matching.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

2006
Nonparametric Quantile Estimation.
Journal of Machine Learning Research, 2006

Learning to Rank with Nonsmooth Cost Functions.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Simpler knowledge-based support vector machines.
Proceedings of the Machine Learning, 2006

Transductive Gaussian Process Regression with Automatic Model Selection.
Proceedings of the Machine Learning: ECML 2006, 2006

2005
Large-Scale Multiclass Transduction.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Heteroscedastic Gaussian process regression.
Proceedings of the Machine Learning, 2005


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