Quoc V. Le
Co-Authors
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Andrew M.
Dai
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Andrew
Rabinovich
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Andrew W.
Senior
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Christopher Olah
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David
Sussillo
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Dumitru
Erhan
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Eugene
Ie
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Geoffrey
E. Hinton
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Greg
Corrado
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Jeffrey Dean
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Jonathon
Shlens
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Kai Chen
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Karol
Kurach
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Ke Yang
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Lukasz
Kaiser
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Matthieu
Devin
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Navdeep
Jaitly
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Oriol
Vinyals
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Paul A. Tucker
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Rajat
Monga
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Samy Bengio
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Tamas
Sarlos
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Vincent
Vanhoucke
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Yoram Singer
Google Publications
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Navdeep Jaitly, David Sussillo, Quoc V. Le, Oriol Vinyals, Ilya Sutskever, Samy Bengio
NIPS 2016 (2016) (to appear)
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Listen, Attend and Spell: A Neural Network for Large Vocabulary Conversational Speech Recognition
William Chan, Navdeep Jaitly, Quoc V. Le, Oriol Vinyals
ICASSP (2016)
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Multi-task Sequence to Sequence Learning
Thang Luong, Quoc V. Le, Ilya Sutskever, Oriol Vinyals, Lukasz Kaiser
International Conference on Learning Representations (2016)
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Neural Programmer: Inducing Latent Programs with Gradient Descent
arvind neelakantan, Quoc V. Le, Ilya Sutskever
International Conference on Learning Representations (2016)
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ICML Deep Learning Workshop (2015)
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A Simple Way to Initialize Recurrent Networks of Rectified Linear Units
Quoc V. Le, Navdeep Jaitly, Geoffrey E. Hinton
CoRR, vol. abs/1504.00941 (2015)
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Adding Gradient Noise Improves Learning for Very Deep Networks
arvind neelakantan, Luke Vilnis, Quoc V. Le, Ilya Sutskever, Lukasz Kaiser, Karol Kurach, James Martens
CoRR, vol. abs/1511.06807 (2015)
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Addressing the Rare Word Problem in Neural Machine Translation
Thang Luong, Ilya Sutskever, Quoc V. Le, Oriol Vinyals, Wojciech Zaremba
ACL (2015)
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An Online Sequence-to-Sequence Model Using Partial Conditioning
Navdeep Jaitly, Quoc V. Le, Oriol Vinyals, Samy Bengio
ARXIV (2015)
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Document embedding with paragraph vectors
Andrew M. Dai, Christopher Olah, Quoc V. Le
NIPS Deep Learning Workshop (2015)
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Semi-supervised sequence learning
Advances in Neural Information Processing Systems, NIPS (2015)
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Distributed Representations of Sentences and Documents
Quoc V. Le, Tomas Mikolov
International Conference on Machine Learning (2014)
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Sequence to Sequence Learning with Neural Networks
Ilya Sutskever, Oriol Vinyals, Quoc V. Le
Proc. NIPS, Montreal, CA (2014)
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Exploiting Similarities among Languages for Machine Translation
Tomas Mikolov, Quoc V. Le, Ilya Sutskever
ARXIV (2013)
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Fastfood - Approximating Kernel Expansions in Loglinear Time
Quoc Le, Tamas Sarlos, Alex Smola
30th International Conference on Machine Learning (ICML), Omnipress (2013)
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Fastfood-computing hilbert space expansions in loglinear time
Quoc V. Le, Tamas Sarlos, Alex Smola
International Conference on Machine Learning (2013) (to appear)
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Grounded compositional semantics for finding and describing images with sentences
Richard Socher, Andrej Karpathy, Quoc V. Le, Chris D. Manning, Andrew Y. Ng
Transactions of the Association for Computational Linguistics (2013) (to appear)
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On Rectified Linear Units For Speech Processing
M.D. Zeiler, M. Ranzato, R. Monga, M. Mao, K. Yang, Q.V. Le, P. Nguyen, A. Senior, V. Vanhoucke, J. Dean, G.E. Hinton
38th International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vancouver (2013)
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Using Web Co-occurrence Statistics for Improving Image Categorization
Samy Bengio, Jeffrey Dean, Dumitru Erhan, Eugene Ie, Quoc Le, Andrew Rabinovich, Jonathon Shlens, Yoram Singer
arXiv (2013)
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Building high-level features using large scale unsupervised learning
Quoc Le, Marc'Aurelio Ranzato, Rajat Monga, Matthieu Devin, Kai Chen, Greg Corrado, Jeff Dean, Andrew Ng
International Conference in Machine Learning (2012)
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Large Scale Distributed Deep Networks
Jeffrey Dean, Greg S. Corrado, Rajat Monga, Kai Chen, Matthieu Devin, Quoc V. Le, Mark Z. Mao, Marc’Aurelio Ranzato, Andrew Senior, Paul Tucker, Ke Yang, Andrew Y. Ng
NIPS (2012)
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Recurrent Neural Networks for Noise Reduction in Robust ASR
Andrew Maas, Quoc V. Le, Tyler M. O’Neil, Oriol Vinyals, Patrick Nguyen, Andrew Y. Ng
INTERSPEECH (2012)
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Quoc V. Le, Will Zou, Serena Yeung, Andrew Y. Ng
Conference on Computer Vision and Pattern Recognition (2011)
Previous Publications
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Listen, Attend and Spell
William Chan, Navdeep Jaitly, Quoc V. Le, Oriol Vinyals
CoRR, vol. abs/1508.01211 (2015)
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Learning invariant features of tumor signature
Quoc V. Le, Ju Han, Paul Spellman, Alexander Borowsky, Bahram Parvin
ISBI (2012)
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ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning
Quoc V. Le, Alex Karpenko, Jiquan Ngiam, Andrew Y. Ng
NIPS (2011)
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On Optimization Methods for Deep Learning
Quoc V. Le, Jiquan Ngiam, Adam Coates, Abhik Lahiri, Bobby Prochnow, Andrew Y. Ng
ICML (2011)
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Bundle Methods for Regularized Risk Minimization
Choon Hui Teo, S. V. N. Vishwanathan, Alex J. Smola, Quoc V. Le
Journal of Machine Learning Research, vol. 11 (2010), pp. 311-365
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Grasping Novel Objects with Depth Segmentation
Deepak Rao, Quoc V. Le, Thanathorn Phoka, Morgan Quigley, Attawith Sudsang, Andrew Y. Ng
IROS (2010)
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Learning to grasp objects with multiple contact points
Quoc V. Le, David Kamm, Arda Kara, Andrew Y. Ng
ICRA (2010)
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Low-cost Accelerometers for Robotic Manipulator Perception
Morgan Quigley, Reuben Brewer, Sai P. Soundararaj, Vijay Pradeep, Quoc V. Le, Andrew Y. Ng
IROS (2010)
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Tiled Convolutional Neural Networks
Quoc V. Le, Jiquan Ngiam, Zhenghao Chen, Pang Wei Koh, Andrew Y. Ng
NIPS (2010)
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Estimating Labels from Label Proportions
Novi Quadrianto, Alex J. Smola, Tibério S. Caetano, Quoc V. Le
Journal of Machine Learning Research, vol. 10 (2009), pp. 2349-2374
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High-Accuracy 3D Sensing for Mobile Manipulation: Improving Object Detection and Door Opening
Morgan Quigley, Siddarth Batra, Stephen Gould, Ellen Klingbeil, Quoc V. Le, Ashley Wellman, Andrew Y. Ng
ICRA (2009)
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Measuring Invariances in Deep Networks
Ian Goodfellow, Quoc V. Le, Andrew Saxe, Honglak Lee, Andrew Y. Ng
NIPS (2009)
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Proximal regularization for online and batch learning
Chuong B. Do, Quoc V. Le, Chuan-Sheng Foo
ICML (2009)
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Scalable Learning for Object Detection with GPU Hardware
Adam Coates, Paul Baumstarck, Quoc V. Le, Andrew Y. Ng
IROS (2009)
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Estimating labels from label proportions
Novi Quadrianto, Alex J. Smola, Tibério S. Caetano, Quoc V. Le
ICML (2008), pp. 776-783
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Learning Graph Matching
Tibério S. Caetano, Julian John McAuley, Li Cheng, Quoc V. Le, Alex J. Smola
CoRR, vol. abs/0806.2890 (2008)
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Tighter Bounds for Structured Estimation
Olivier Chapelle, Chuong B. Do, Quoc V. Le, Alexander J. Smola, Choon Hui Teo
NIPS (2008), pp. 281-288
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A scalable modular convex solver for regularized risk minimization
Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanathan, Quoc V. Le
KDD (2007), pp. 727-736
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Bundle Methods for Machine Learning
Alex J. Smola, S. V. N. Vishwanathan, Quoc V. Le
NIPS (2007)
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COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking
Markus Weimer, Alexandros Karatzoglou, Quoc V. Le, Alex J. Smola
NIPS (2007)
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Direct Optimization of Ranking Measures
Quoc V. Le, Alexander J. Smola
CoRR, vol. abs/0704.3359 (2007)
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Learning Graph Matching
Tibério S. Caetano, Li Cheng, Quoc V. Le, Alex J. Smola
ICCV (2007), pp. 1-8
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Learning to Rank with Nonsmooth Cost Functions
Christopher Burges, Robert Ragno, Quoc V. Le
NIPS (2006)
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Nonparametric Quantile Estimation
Ichiro Takeuchi, Quoc V. Le, Tim D. Sears, Alexander J. Smola
Journal of Machine Learning Research, vol. 7 (2006), pp. 1231-1264
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Simpler knowledge-based support vector machines
Quoc V. Le, Alex J. Smola, Thomas Gärtner
ICML (2006), pp. 521-528
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Transductive Gaussian Process Regression with Automatic Model Selection
Quoc V. Le, Alexander J. Smola, Thomas Gärtner, Yasemin Altun
ECML (2006), pp. 306-317
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Heteroscedastic Gaussian process regression
Quoc V. Le, Alexander J. Smola, Stéphane Canu
ICML (2005), pp. 489-496
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Large-Scale Multiclass Transduction
Thomas Gärtner, Quoc V. Le, Simon Burton, Alex J. Smola, S. V. N. Vishwanathan
NIPS (2005)
