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Quoc V. Le
Quoc Viet Le
Author information
- Computer Science Department, Stanford University
2010 – today
- 2012
[c27]Quoc V. Le, Marc'Aurelio Ranzato, Rajat Monga, Matthieu Devin, Greg Corrado, Kai Chen, Jeffrey Dean, Andrew Y. Ng: Building high-level features using large scale unsupervised learning. ICML 2012- [c26]Andrew L. Maas, Quoc V. Le, Tyler M. O'Neil, Oriol Vinyals, Patrick Nguyen, Andrew Y. Ng: Recurrent Neural Networks for Noise Reduction in Robust ASR. INTERSPEECH 2012
- [c25]Quoc V. Le, Ju Han, Joe W. Gray, Paul T. Spellman, Alexander Borowsky, Bahram Parvin: Learning invariant features of tumor signatures. ISBI 2012: 302-305
- [c24]Jeffrey Dean, Greg Corrado, Rajat Monga, Kai Chen, Matthieu Devin, Quoc V. Le, Mark Z. Mao, Marc'Aurelio Ranzato, Andrew W. Senior, Paul A. Tucker, Ke Yang, Andrew Y. Ng: Large Scale Distributed Deep Networks. NIPS 2012: 1232-1240
- 2011
- [c23]Quoc V. Le, Will Y. Zou, Serena Y. Yeung, Andrew Y. Ng: Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis. CVPR 2011: 3361-3368
- [c22]Quoc V. Le, Jiquan Ngiam, Adam Coates, Ahbik Lahiri, Bobby Prochnow, Andrew Y. Ng: On optimization methods for deep learning. ICML 2011: 265-272
- [c21]Quoc V. Le, Alexandre Karpenko, Jiquan Ngiam, Andrew Y. Ng: ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning. NIPS 2011: 1017-1025
- [i3]Quoc V. Le, Rajat Monga, Matthieu Devin, Greg Corrado, Kai Chen, Marc'Aurelio Ranzato, Jeffrey Dean, Andrew Y. Ng: Building high-level features using large scale unsupervised learning. CoRR abs/1112.6209 (2011)
- 2010
- [j4]Choon Hui Teo, S. V. N. Vishwanathan, Alex J. Smola, Quoc V. Le: Bundle Methods for Regularized Risk Minimization. Journal of Machine Learning Research 11: 311-365 (2010)
- [c20]Quoc V. Le, David Kamm, A. F. Kara, Andrew Y. Ng: Learning to grasp objects with multiple contact points. ICRA 2010: 5062-5069
- [c19]Deepak Rao, Quoc V. Le, Thanathorn Phoka, Morgan Quigley, Attawith Sudsang, Andrew Y. Ng: Grasping novel objects with depth segmentation. IROS 2010: 2578-2585
- [c18]Morgan Quigley, Reuben D. Brewer, Sai Prashanth Soundararaj, Vijay Pradeep, Quoc V. Le, Andrew Y. Ng: Low-cost accelerometers for robotic manipulator perception. IROS 2010: 6168-6174
- [c17]Quoc V. Le, Jiquan Ngiam, Zhenghao Chen, Daniel Jin hao Chia, Pang Wei Koh, Andrew Y. Ng: Tiled convolutional neural networks. NIPS 2010: 1279-1287
2000 – 2009
- 2009
- [j3]Novi Quadrianto, Alex J. Smola, Tibério S. Caetano, Quoc V. Le: Estimating Labels from Label Proportions. Journal of Machine Learning Research 10: 2349-2374 (2009)
- [j2]Tibério S. Caetano, Julian John McAuley, Li Cheng, Quoc V. Le, Alexander J. Smola: Learning Graph Matching. IEEE Trans. Pattern Anal. Mach. Intell. 31(6): 1048-1058 (2009)
- [c16]Chuong B. Do, Quoc V. Le, Chuan-Sheng Foo: Proximal regularization for online and batch learning. ICML 2009: 33
- [c15]Morgan Quigley, Siddharth Batra, Stephen Gould, Ellen Klingbeil, Quoc V. Le, Ashley Wellman, Andrew Y. Ng: High-accuracy 3D sensing for mobile manipulation: Improving object detection and door opening. ICRA 2009: 2816-2822
- [c14]
- [c13]Adam Coates, Paul Baumstarck, Quoc V. Le, Andrew Y. Ng: Scalable learning for object detection with GPU hardware. IROS 2009: 4287-4293
- [c12]Ian J. Goodfellow, Quoc V. Le, Andrew M. Saxe, Honglak Lee, Andrew Y. Ng: Measuring Invariances in Deep Networks. NIPS 2009: 646-654
- 2008
- [c11]Novi Quadrianto, Alex J. Smola, Tibério S. Caetano, Quoc V. Le: Estimating labels from label proportions. ICML 2008: 776-783
- [c10]Olivier Chapelle, Chuong B. Do, Quoc V. Le, Alexander J. Smola, Choon Hui Teo: Tighter Bounds for Structured Estimation. NIPS 2008: 281-288
- [i2]Tibério S. Caetano, Julian John McAuley, Li Cheng, Quoc V. Le, Alex J. Smola: Learning Graph Matching. CoRR abs/0806.2890 (2008)
- 2007
- [c9]
- [c8]Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanathan, Quoc V. Le: A scalable modular convex solver for regularized risk minimization. KDD 2007: 727-736
- [c7]
- [c6]Markus Weimer, Alexandros Karatzoglou, Quoc V. Le, Alex J. Smola: COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking . NIPS 2007
- [i1]
- 2006
- [j1]Ichiro Takeuchi, Quoc V. Le, Tim D. Sears, Alexander J. Smola: Nonparametric Quantile Estimation. Journal of Machine Learning Research 7: 1231-1264 (2006)
- [c5]Quoc V. Le, Alexander J. Smola, Thomas Gärtner, Yasemin Altun: Transductive Gaussian Process Regression with Automatic Model Selection. ECML 2006: 306-317
- [c4]Quoc V. Le, Alex J. Smola, Thomas Gärtner: Simpler knowledge-based support vector machines. ICML 2006: 521-528
- [c3]Christopher J. C. Burges, Robert Ragno, Quoc Viet Le: Learning to Rank with Nonsmooth Cost Functions. NIPS 2006: 193-200
- 2005
- [c2]Quoc V. Le, Alexander J. Smola, Stéphane Canu: Heteroscedastic Gaussian process regression. ICML 2005: 489-496
- [c1]Thomas Gärtner, Quoc V. Le, Simon Burton, Alex J. Smola, S. V. N. Vishwanathan: Large-Scale Multiclass Transduction. NIPS 2005
Coauthor Index
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last updated on 2013-02-25 18:45 CET by the dblp team