deep belief networks, Andrew Y. Ng and Michael Jordan. Ashutosh Saxena, Min Sun, and Andrew Y. Ng. MDP based speaker ID for robot dialogue, In the same year, the pair wedded in an intimate ceremony. supplementary material], Apprenticeship Learning for Motion Planning with Application to Parking Lot Navigation, Chuong Do and Andrew Y. Ng. In Proceedings of the Twentieth International Joint Conference In NIPS 19, 2007. (You can Adam Coates, Michael Jordan, 1998. Michael Kearns, Yishay Mansour and Andrew Y. Ng. groupTime: Preference-Based Group Scheduling, On Feature Selection: Learning with Exponentially many Irrelevant Features [ps, pdf], Cheap and Fast - But is it Good? In NIPS 18, 2006. pdf] pdf, pdf] Ashutosh Saxena, Sung H. Chung, and Andrew Y. Ng. In this episode of CxOTalk, he shares practical advice for developing an AI strategy, implementing an AI proof of concept, and going beyond AI hype to achieve real business outcomes for artificial intelligence in business. Best student paper award. [ps, pdf], Feature selection, L1 vs. L2 regularization, and rotational invariance, Andrew Y. Ng, Michael Jordan, and Yair Weiss. Journal of Machine Learning Research, 3:993-1022, 2003. Robotic Grasping of Novel Objects using Vision, J. Zico Kolter and Andrew Y. Ng. In Proceedings of the International Conference on Robotics and Automation (ICRA), 2008. In Proceedings of the International Conference on Intellegent Robots and Systems (IROS), 2008. reinforcement learning and robotic control, In Proceedings of the International Symposium on Robotics Research (ISRR), 2007. Sham Kakade and Andrew Y. Ng. [ps, In NIPS*2010 Workshop on Deep Learning and Unsupervised Feature Learning. Deep Learning. Olga Russakovsky, [ps, Kristina Toutanova, Christopher Manning and Andrew Y. Ng. In Proceedings of the Twenty-Eighth International Conference on Machine Learning, 2011. Andrew Saxe, Pangwei Koh, Zhenghao Chen, Maneesh Bhand, Bipin Suresh and Andrew Y. Ng. [ps, Michael Kearns, Yishay Mansour and Andrew Y. Ng. In Proceedings of the International Conference on Robotics and Automation (ICRA), 2006. Rajat Raina, Alexis Battle, Honglak Lee, Benjamin Packer and Andrew Y. Ng. Ben Tse, Eric Berger and Eric Liang. Machine Learning, 1998. [ps, pdf], Learning first order Markov models for control, pdf], A Factor Graph Model for Software Bug Finding, In NIPS 17, 2005. 3D Representation for Recognition (3dRR-07), 2007. [ps, pdf]. pdf] [pdf] Rajat Raina, Andrew Y. Ng and Daphne Koller. Masa Matsuoka, Surya Singh, Alan Chen, Adam Coates, Andrew Y. Ng and Sebastian Thrun. [ps, Andrew Ng: „Just as the Industrial Revolution freed up a lot of humanity from physical drudgery I think AI has the potential to free up humanity from a lot of the mental drudgery.” (Myślę, że tak jak rewolucja przemysłowa uwolniła ludzkość od katorgi fizycznej, tak Sztuczna Inteligencja może uwolnić ludzkość od katorgi umysłowej”. [pdf], ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning. code], Learning to merge word senses, SIGIR Conference on Research and Development in Information Retrieval, 2001. on [ps, pdf], Policy search by dynamic programming, Twenty-first International Conference on Machine Learning, 2004. J. Andrew Bagnell and Andrew Y. Ng. In NIPS*2007. Richard Socher, Cliff Lin, Andrew Y. Ng and Christopher Manning. Evaluating Non-Expert Annotations for Natural Language Tasks, Quoc V. Le, Alex Karpenko, Jiquan Ngiam and Andrew Y. Ng. [ps, pdf], Classification with Hybrid Generative/Discriminative Models, Pieter Abbeel, Adam Coates, Morgan Quigley and Andrew Y. Ng. [ps, pdf], Approximate planning in large POMDPs via reusable trajectories, ISBN 978-981-15-83773-3, Springer Singapore, 2021. pdf], A Factor Graph Model for Software Bug Finding, Rajat Raina, Yirong Shen, Andrew Y. Ng and Andrew McCallum, [ps, In Proceedings of the Twenty-fourth International Conference on Machine Learning, 2007. Integrating visual and range data for robotic object detection, Drago Anguelov, Ben Taskar, Vasco Chatalbashev, Daphne Koller, Dinkar Gupta, Geremy Heitz and Andrew Y. Ng. Honglak Lee, Ekanadham Chaitanya, and Andrew Y. Ng. Michael Kearns, Yishay Mansour, Andrew Y. Ng and Dana Ron, The 43 years old, Andrew Ng is a happily married man. An Application of Reinforcement Learning to Aerobatic Helicopter Flight, (IJCAI-99), 1999. An Information-Theoretic Analysis of STAIR (STanford AI Robot) project: Integrating tools from all the diverse areas In Proceedings of the Twenty-first Conference on Uncertainty in Artificial Intelligence, 2005. In Proceedings of the Twenty-second International Conference on Machine Learning, 2005. [pdf] Ian J. Goodfellow, Quoc V. Le, Andrew M. Saxe, Honglak Lee and Andrew Y. Ng. [ps, Pieter Abbeel, Daphne Koller and Andrew Y. Ng. [ps, workshop on Robot Manipulation, 2008. [pdf], A Probabilistic Model for Semantic Word Vectors [ps, [ps, pdf], Apprenticeship learning via inverse reinforcement learning, Marius Meissner, Gary Bradski, Paul Baumstarck, Sukwon Chung Artificial Intelligence, Proceedings of the Sixteenth Conference, 2000. [ps, In NIPS 14,, 2002. Machine Learning, 1998. Stephen Gould, Paul Baumstarck, Morgan Quigley, Andrew Y. Ng and Daphne Koller. and Andrew Y. Ng. A sparse sampling algorithm for near-optimal planning in David Blei, Andrew Y. Ng and Michael Jordan. As a businessman and investor, Ng co-founded and led Google Brain and was a former Vice President and Chief Scientist at Baidu, building the company's Artificial Intelligence Group into a team of several thousand people. Masa Matsuoka, Surya Singh, Alan Chen, Adam Coates, Andrew Y. Ng and Sebastian Thrun. [pdf], Unsupervised learning models of primary cortical receptive fields and receptive field plasticity, pdf] STAIR (STanford AI Robot) project: Integrating tools from all the diverse areas Ashutosh Saxena, Justin Driemeyer, Justin Kearns, Chioma Osondu, Spam deobfuscation using a hidden Markov model, J. Zico Kolter, Mike Rodgers and Andrew Y. Ng. [pdf], Regularization and Feature Selection in Least-Squares Temporal Difference Learning, Algorithms for inverse reinforcement learning, In NIPS 12, 2000. Pieter Abbeel, Adam Coates, Mike Montemerlo, Andrew Y. Ng and Sebastian Thrun. pdf], Efficient L1 Regularized Logistic Regression. Will Y. Zou, Shenghuo Zhu, Andrew Y. Ng, Kai Yu. CS294A: STAIR (STanford AI Robot) project, Winter 2008. [pdf]. In Proceedings of the In NIPS*2011. in Proceedings of the Fifteenth International Conference on In NIPS*2011. Workshop on Reinforcement Learning at ICML97, 1997. In Proceedings of the [pdf], Space-indexed Dynamic Programming: Learning to Follow Trajectories, Cheng-Tao Chu, Sang Kyun Kim, Yi-An Lin, YuanYuan Yu, Preventing "Overfitting" of Cross-Validation data, Andrew Y. Ng, in Proceedings of the Fourteenth International Conference on Machine Learning, 1997. Quoc V. Le, Will Zou, Serena Yeung and Andrew Y. Ng. broad competence artificial intelligence, In NIPS 14,, 2002. [ps, pdf] The keynote was delivered by computer scientist Andrew Ng who was the former Director of the Stanford University AI Lab and the co-founder of the Google Brain project. Andrew Y. Ng, Daishi Harada and Stuart Russell. In International Conference on Robotics and Automation (ICRA), 2009. Benjaminn Sapp, Ashutosh Saxena, and Andrew Y. Ng. [ps, pdf], Classification with Hybrid Generative/Discriminative Models, In Proceedings of the Twentieth International Joint Conference ICCV workshop on Virtual Representations and Modeling of Large-scale environments (VRML), [ps, pdf], Approximate inference algorithms for two-layer Bayesian networks, In Proceedings of the Twenty-Sixth International Conference on Machine Learning, 2009. pdf], An Application of Reinforcement Learning to Aerobatic Helicopter Flight, In Proceedings of the International Conference on Robotics and Automation (ICRA), 2006. Einat Minkov, William Cohen and Andrew Y. Ng. see most of the lectures In Proceedings of the Twenty-fifth International Conference on Machine Learning, 2008. J. Zico Kolter, Pieter Abbeel, and Andrew Y. Ng. In NIPS 2012. Hire your chief AI officer. Semantic taxonomy induction from heterogenous evidence, Michael Kearns, Yishay Mansour and Andrew Y. Ng, Journal of Machine Learning Research, 3:993-1022, 2003. In NIPS*2010. Rajat Raina, Andrew Y. Ng and Chris Manning. Andrew Y. Ng and Stuart Russell. Teaching: [ps, pdf] CS229: Machine Learning, Autumn 2008. [pdf, supplementary material], Learning hierarchical spatio-temporal features for action recognition with independent subspace analysis, Also a book chapter In Proceedings of the Sixteenth International Conference on Machine Learning, 1999. In NIPS 2012. on Artificial Intelligence (IJCAI-07), 2007. pdf], Robust Textual Inference via Graph Matching, [ps, In 49th Annual Meeting of the Association for Computational Linguistics (ACL), 2011. Andrew Y. Ng, Alice X. Zheng and Michael Jordan. In Proceedings of the Twenty-Sixth International Conference on Machine Learning, 2009. 3-D Reconstruction from Sparse Views using Monocular Vision , [ps, pdf], Learning first order Markov models for control, in Learning in Graphical Models, Ed. in Proceedings of the Fifteenth International Conference on J. Andrew Bagnell, Sham Kakade, Andrew Y. Ng and Jeff Schneider, In NIPS*2009. In Proceedings of the Twenty-first Conference on Uncertainty in Artificial Intelligence, 2005. Machine Learning, 1998. An earlier version had also been presented at the NIPS 2005 Workshop on Inductive Transfer. In CHI 2006. Andrew Y. Ng and Michael Jordan. In International Conference on Robotics and Automation (ICRA), 2010. Transfer learning by constructing informative priors, Seventeenth International Conference on Machine Learning, 2000. 7-50, 1997. The importance of encoding versus training with sparse coding and vector quantization, Pieter Abbeel, Project homepages: Morgan Quigley, Pieter Abbeel, In Proceedings of the Twenty-fourth International Conference on Machine Learning, 2007. pdf] [ps, pdf] pdf], Map-Reduce for Machine Learning on Multicore. He tied the knot with longtime girlfriend-turned-wife, Carol Reiley. pdf] Word-level Acoustic Modeling with Convolutional Vector Regression. In Proceedings of the International Conference on Robotics and Automation (ICRA), 2008. Ashutosh Saxena, Min Sun, and Andrew Y. Ng. Honglak Lee and and Andrew Y. Ng. Mike Brzozowski, Kendra Carattini, Scott R. Klemmer, Patrick Mihelich, Jiang Hu, Andrew Y. Ng. Corrado, R. Monga, K. Chen, M. Devin, Q.V. Rajat Raina, Andrew Y. Ng and Chris Manning. Andrew Y. Ng Computer Science Department Stanford University Room 156, Gates Building Stanford, CA 94305-9010 . In Proceedings of the Twenty-ninth Annual International ACM In Proceedings of the on Artificial Intelligence (IJCAI-07), 2007. Stephen Gould, Paul Baumstarck, Morgan Quigley, Andrew Y. Ng and Daphne Koller. An extended version of the paper is also available. In NIPS*2011. Andrew McCallum, Roni Rosenfeld, Tom Mitchell and Andrew Y. Ng Andrew Y. Ng and Michael Jordan. Andrew Maas and Andrew Ng. Chuong Do (Tom), In Proceedings of the Open-Source Software workshop at the International Conference on Robotics and Automation (ICRA), 2009. High-speed obstacle avoidance using monocular vision and reinforcement learning, Erick Delage, Honglak Lee and Andrew Y. Ng. Rajat Raina, Jiquan Ngiam, Zhenghao Chen, Pangwei Koh and Andrew Y. Ng. Andrew Y. Ng and Michael Jordan. [pdf], Learning Word Vectors for Sentiment Analysis, Morgan Quigley, In the International Journal of Computer Vision (IJCV), 2007. A shorter version had also appeard in Bayesian inference for linguistic annotation pipelines, [ps, pdf] [ps, pdf], Learning omnidirectional path following using dimensionality reduction, Best paper award. Deep Learning of Invariant Features via Simulated Fixations in Video. Conference on Machine Learning, 2001. [ps, [ps, [ps, pdf], PEGASUS: A policy search method for large MDPs and POMDPs, GTC DC 2019 Keynote featuring Dr. Ian Buck 1 year ago 4,497 views GPU Technology Conference 2019 Keynote ... GTC 2015 Keynote with Dr. Andrew Ng, Baidu 5 years ago 51,420 views GTC 2015 Keynote with Jeff Dean, Google 5 years ago 19,129 views In Proceedings of the Twentieth International Joint Conference An earlier version had also been presented at the NIPS 2005 Workshop on Inductive Transfer. Pieter Abbeel, Daphne Koller, Andrew Y. Ng In NIPS*2007. [ps, pdf], Efficient multiple hyperparameter learning for log-linear models, Pieter Abbeel, Varun Ganapathi and Andrew Y. Ng. David Blei, Andrew Y. Ng, and Michael Jordan. In NIPS 17, 2005. Ted Kremenek, Paul Twohey, Godmar Back, Andrew Y. Ng and Dawson Engler. [ps, pdf] pdf] Best paper award: Best application paper. In CVPR 2006. and Andrew Y. Ng. Andrew was also the … [pdf], Autonomous Helicopter Tracking and Localization Using a Self-Calibrating Camera Array, [pdf], Unsupervised feature learning for audio classification using convolutional In NIPS 17, 2005. In Proceedings of the Twenty-fifth International Conference on Machine Learning, 2008. pdf], Probabilistic Mobile Manipulation in Dynamic Environments, with Application to Opening Doors, In NIPS 16, 2004. In Proceedings of the Fifth International Conference on Field Service Robotics, 2005. Discriminative training of Kalman filters, CS221: Artificial Intelligence: Principles and Techniques, Winter 2009. Stephen Gould, Paul Baumstarck, Morgan Quigley, Andrew Y. Ng and Daphne Koller. In NIPS 12, 2000. in Learning in Graphical Models, Ed. In AAAI, 2008. In IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2008. In Proceedings of the Twenty-Sixth International Conference on Machine Learning, 2009. In AAAI (Nectar Track), 2008. pdf, Quoc Le, Machine Learning, 1998. Anya Petrovskaya and Andrew Y. Ng. In International Symposium on Experimental Robotics, 2004. 2007. Hard and Soft Assignment Methods for Clustering, pdf], Hierarchical Apprenticeship Learning with Applications to Quadruped Locomotion, Seventeenth International Conference on Machine Learning, 2000. [pdf], PEGASUS: A policy search method for large MDPs and POMDPs, [ps, [ps, pdf], Policy search via density estimation, pdf], 3-D depth reconstruction from a single still image, In Proceedings of the Twentieth International Joint Conference algorithms for text and web data processing. [pdf], Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions. Fast Gaussian Process Regression using KD-trees, Quadruped robot obstacle negotiation via reinforcement learning, In Proceedings of the Twentieth International Joint Conference In Proceedings of the Twenty-ninth Annual International ACM [pdf], A Fast Data Collection and Augmentation Procedure for Object Recognition, Stanford University Rion Snow, Sushant Prakash, Dan Jurafsky and Andrew Y. Ng. In International Conference on Robotics and Automation (ICRA), 2011. [pdf], Exponential Family Sparse Coding with Application to Self-taught Learning, on Artificial Intelligence (IJCAI-07), 2007. Project homepages: [ps, pdf]. In NIPS 19, 2007. on Artificial Intelligence (IJCAI-07), 2007. of AI, to build a useful, general purpose home assistant robot. Ashutosh Saxena, Jamie Schulte and Andrew Y. Ng. Spam deobfuscation using a hidden Markov model, In 11th International Symposium on Experimental Robotics (ISER), 2008. [ps, pdf], Preventing "Overfitting" of Cross-Validation data, [ps, pdf] Pieter Abbeel, Adam Coates, Timothy Hunter and Andrew Y. Ng. [ps, broad competence artificial intelligence, [ps, Rion Snow, Sushant Prakash, Dan Jurafsky and Andrew Y. Ng. Richard Socher, Eric H. Huang, Jeffrey Pennington, Andrew Y. Ng, and Christopher D. Manning In NIPS 18, 2006. In Proceedings of EMNLP 2008. pdf], On Local Rewards and the Scalability of Distributed Reinforcement Learning, AI is coming. On Discriminative vs. Generative Classifiers: A comparison [ps, [ps, In NIPS 17, 2005. [pdf], Multi-Camera Object Detection for Robotics, In NIPS 17, 2005. [ps, pdf], Latent Dirichlet Allocation, YouTube. [pdf], Stereo Vision and Terrain Modeling for Quadruped Robots, Andrew Y. Ng, Adam Coates, Mark Diel, Varun Ganapathi, Jamie Schulte, In Proceedings of the Twentieth National Conference on Artificial Intelligence (AAAI), 2005. In Proceedings of the Seventeenth International Joint Conference Refereed Conference Papers [13] Autonomous Operation of Novel Elevators for Robot Navigation. Adam Coates, Andrej Karpathy, and Andrew Y. Ng. , 2006. A Factor Graph Model for Software Bug Finding, Robust Textual Inference via Graph Matching, [ps, pdf] Machine Learning, 1998. Transfer learning by constructing informative priors, In Proceedings of the 7th USENIX Symposium on Operating Systems Design and Implementation (OSDI) Pieter Abbeel and Andrew Y. Ng. Stanford University. pdf, In Proceedings of the Twentieth International Joint Conference In Proceedings of the Twenty-Eighth International Conference on Machine Learning, 2011. [ps, pdf]. pdf], On Local Rewards and the Scalability of Distributed Reinforcement Learning, [ps, [ps, pdf], On Spectral Clustering: Analysis and an algorithm, Stephen Gould, Joakim Arfvidsson, Adrian Kaehler, Benjamin Sapp, In NIPS 14, 2002. In Proceedings of the International Symposium on Robotics Research (ISRR), 2005. pdf] Adam Coates, Pieter Abbeel and Andrew Y. Ng. Honglak Lee, Yirong Shen, Chih-Han Yu, Gurjeet Singh, and Andrew Y. Ng. [ps, In NIPS 18, 2006. [ps, pdf] [ps, pdf]. Twenty-first International Conference on Machine Learning, 2004. [ps, pdf], Discriminative Learning of Markov Random Fields for Segmentation of 3D Range Data, Aria Haghighi, Andrew Y. Ng and Chris Manning. [pdf] [ps, pdf] [ps, pdf], Learning syntactic patterns for automatic hypernym discovery, large Markov decision processes, Tel: (650)725-2593 CS221: Artificial Intelligence: Principles and Techniques, Winter 2009. In Proceedings of EMNLP 2006. Twenty-first International Conference on Machine Learning, 2004. pdf] Also a book chapter In NIPS 12, 2000. on Artificial Intelligence (IJCAI-07), 2007. J. (IJCAI-99), 1999. Andrew Y. Ng. Rion Snow, Dan Jurafsky and Andrew Y. Ng. In Proceedings of the Twenty-fourth International Conference on Machine Learning, 2007. [14] Learning to grasp objects with multiple contact points. Artificial Intelligence, Proceedings of the Sixteenth Conference, 2000. In Proceedings of the pdf], Automatic single-image 3d reconstructions of indoor Manhattan world scenes, In Proceedings of the Twenty-First International Joint Conference Andrew Y. Ng, Alice X. Zheng and Michael Jordan. Morgan Quigley, Brian Gerkey, Ken Conley, Josh Faust, Tully Foote, Jeremy Leibs, Eric Berger, Rob Wheeler, and Andrew Y. Ng. pdf], Learning Factor Graphs in Polynomial Time and Sample Complexity, Rion Snow, Dan Jurafsky and Andrew Y. Ng. Quoc Le, David Kamm Space-indexed Dynamic Programming: Learning to Follow Trajectories, Ashutosh Saxena, Jamie Schulte and Andrew Y. Ng. In Proceedings of the Eighteenth International In AAAI, 2008. Masa Matsuoka, Surya Singh, Alan Chen, Adam Coates, Andrew Y. Ng and Sebastian Thrun. Andrew Y. Ng. A Fast Data Collection and Augmentation Procedure for Object Recognition, Filip Krsmanovic, Curtis Spencer, Daniel Jurafsky and Andrew Y. Ng. Andrew Y. Ng and H. Jin Kim. Pieter Abbeel, Morgan Quigley and Andrew Y. Ng. Ellen Klingbeil, Ashutosh Saxena, Andrew Y. Ng. Rion Snow, Brendan O'Connor, Daniel Jurafsky and Andrew Y. Ng. Ashutosh Saxena, Justin Driemeyer, Justin Kearns, Chioma Osondu, [pdf], Selecting Receptive Fields in Deep Networks. Tao Wang, David J. Wu, Adam Coates and Andrew Y. Ng. Andrew Ng What data scientists should know about deep learning 2. pdf] In Proceedings of the Ted Kremenek, Paul Twohey, Godmar Back, Andrew Y. Ng and Dawson Engler. Ashutosh Saxena, Sung Chung, and Andrew Y. Ng. J. Zico Kolter, pdf] [ps, pdf] Hierarchical Apprenticeship Learning with Applications to Quadruped Locomotion, Honglak Lee, [pdf], Autonomous Helicopter Aerobatics through Apprenticeship Learning, [ps, In NIPS 18, 2006. Andrew Y. Ng and Michael Jordan. pdf] [pdf] Pieter Abbeel and Andrew Y. Ng. Pieter Abbeel, Adam Coates, Timothy Hunter and Andrew Y. Ng. Andrew Y. Ng and Michael Jordan. videos], Efficient sparse coding algorithms. pdf, [ps, [pdf] [ps, pdf], Learning Depth from Single Monocular Images, Email Address* Guide2Research uses the information to contact you about our relevant content. Roger Grosse, Rajat Raina, Helen Kwong and Andrew Y. Ng. pdf] In Proceedings of the Twenty-third Conference on Uncertainty in Artificial Intelligence, 2007. In Proceedings of the Twenty-third International Conference on Machine Learning, 2006. [ps, pdf] In NIPS 17, 2005. Michael Kearns, Yishay Mansour and Andrew Y. Ng, In International Symposium on Experimental Robotics (ISER) 2006. In Computer Vision and Pattern Recognition (CVPR), 2011. Andrew Y. Ng, Daishi Harada and Stuart Russell. [ps, pdf coming soon], Robotic Grasping of Novel Objects, In NIPS 19, 2007. Learning for Control from Muliple Demonstrations, (Online demo available.) PEGASUS: A policy search method for large MDPs and POMDPs, In Proceedings of the Fifteenth National Conference on Artificial Intelligence (AAAI-98), 1998. Quote Investigator: In March 2015 a conference focused on GPU (graphics processing unit) technology was held in San Jose, California. Teaching: [ps, pdf], Improving Text Classification by Shrinkage in a Hierarchy of Classes, Jiquan Ngiam, Aditya Khosla, Mingyu Kim, Juhan Nam, Honglak Lee and Andrew Y. Ng. In NIPS 19, 2007. Erick Delage, Honglak Lee and Andrew Y. Ng. [ps, pdf] [ps, pdf], Inverted autonomous helicopter flight via reinforcement learning, Rated 4.9 out of five stars. Deepak Rao, Quoc V. Le, Thanathorn Phoka, Morgan Quigley, Attawith Sudsand and [ps, J. Zico Kolter, Youngjun Kim and Andrew Y. Ng. Assistant Professor PhD students: [ps, in Proceedings of the Fourteenth International Conference on pdf, In IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2008. In ECCV workshop on Multi-camera and Multi-modal Sensor Fusion Algorithms and Applications (M2SFA2), 2008. In NIPS*2010. A long version is also available. email: In NIPS 19, 2007. Apprenticeship Learning for Motion Planning with Application to Parking Lot Navigation, pdf], Learning vehicular dynamics, with application to modeling helicopters, Learning Depth from Single Monocular Images, J. Zico Kolter, [ps, pdf] In International Symposium on Experimental Robotics (ISER) 2006. Stephen Gould, Joakim Arfvidsson, Adrian Kaehler, Benjamin Sapp, In Proceedings of the Twenty-third International Conference on Machine Learning, 2006. For more information, check out our privacy policy. on Artificial Intelligence (IJCAI-07), 2007. [pdf], Measuring invariances in deep networks, [ps, [ps, Machine Learning, 1997. [ps, pdf], Improving Text Classification by Shrinkage in a Hierarchy of Classes, [pdf], Quadruped robot obstacle negotiation via reinforcement learning, [ps, pdf]. SPECIALIZATION. In NIPS 19, 2007. [ps, In Journal of Machine Learning Research, 7:1743-1788, 2006. In Proceedings of the 7th USENIX Symposium on Operating Systems Design and Implementation (OSDI) In NIPS*2011. Filip Krsmanovic, Curtis Spencer, Daniel Jurafsky and Andrew Y. Ng. Ashutosh Saxena, Min Sun, and Andrew Y. Ng. [ps, Ashutosh Saxena, Lawson Wong, and Andrew Y. Ng. [ps, pdf] [ps, the Sixteenth International Joint Conference on Artificial Intelligence pdf] [ps, pdf], Robust textual inference via learning and abductive reasoning, Ben Tse, Eric Berger and Eric Liang. Best paper award: Best application paper. Ashutosh Saxena, Min Sun, and Andrew Y. Ng. and Andrew Y. Ng. Ashutosh Saxena, Justin Driemeyer, Justin Kearns and Andrew Y. Ng. [ps, Highlights from ng-conf 2019. widdison_photography_0622 widdison_photography_0143 widdison_photography_0166 widdison_photography_0217 widdison_photography_0430 widdison_photography_0538 widdison_photography_0377 widdison_photography_0785 widdison_photography_0076. Andrew Y. Ng. Eric Brill, Jimmy Lin, Michele Banko, Susan Dumais, and Andrew Y. Ng. Dave S. De Lorenzo, Yi Gu, Sara Bolouki, Dennis Akos, pdf, The entrepreneur couple met for the first time in 2009 in Kobe, Japan, at the IEEE International Conference on Robotics and Automation. SIGIR Conference on Research and Development in Information Retrieval, 2006. pdf], Learning Factor Graphs in Polynomial Time and Sample Complexity, [ps, pdf], Algorithms for inverse reinforcement learning, [pdf], Make3D: Learning 3-D Scene Structure from a Single Still Image, In ICCV workshop on [ps, Co-Founder. Best paper award: Best application paper. In Proceedings of the Twenty-first Conference on Uncertainty in Artificial Intelligence, 2005. [pdf], On random weights and unsupervised feature learning, [ps, pdf]. An Experimental In 11th International Symposium on Experimental Robotics (ISER), 2008. [ps, In Proceedings of the Ninth International Conference on Spoken Language Processing (InterSpeech--ICSLP), 2006. Andrew Y. Ng, Michael Jordan, and Yair Weiss. Preventing "Overfitting" of Cross-Validation data, Rion Snow, Dan Jurafsky and Andrew Y. Ng. pdf, In Proceedings of the Twentieth International Joint Conference [ps, pdf], Online bounds for Bayesian algorithms, in Machine Learning 27(1), pp. Best paper award. Improving Word Representations via Global Context and Multiple Word Prototypes. Honglak Lee, Yirong Shen, Chih-Han Yu, Gurjeet Singh, and Andrew Y. Ng. In NIPS 14,, 2002. as Training Examples, 7-50, 1997. Apprenticeship learning via inverse reinforcement learning, Learning factor graphs in polynomial time & sample complexity, [ps, Machine learning, [ps, pdf], Data-Intensive Question Answering. Kristina Toutanova, Christopher Manning and Andrew Y. Ng. In NIPS 14,, 2002. , 2006. Best paper award. [ps,pdf], 3-D depth reconstruction from a single still image, [ps, pdf]. 3-D Reconstruction from Sparse Views using Monocular Vision , and Theoretical Comparison of Model Selection Methods, In NIPS 15, 2003. In Proceedings of the International Conference on Intelligent Robots and Systems (IROS), 2010. [ps, pdf]. Adam Coates, Pieter Abbeel and Andrew Y. Ng. Aria Haghighi, Andrew Y. Ng and Chris Manning. Richard Socher, Jeffrey Pennington, Eric Huang, Andrew Y. Ng, and Christopher D. Manning In Proceedings of EMNLP 2007. In International Conference on Robotics and Automation (ICRA), 2009. [ps, pdf]. in Artificial Intelligence, 1997. 3-D Reconstruction from Sparse Views using Monocular Vision , Shai Shalev-Shwartz, Yoram Singer and Andrew Y. Ng. In Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI-06), 2006. Twenty-first International Conference on Machine Learning, 2004. Yirong Shen, Andrew Y. Ng and Matthias Seeger. [pdf], Scalable Learning for Object Detection with GPU Hardware, J. Andrew Bagnell and Andrew Y. Ng. [pdf], Robotic Grasping of Novel Objects using Vision, An extended version of the paper is also available. pdf], Have we met? Room 156, Gates Building 1A Adam Coates, Blake Carpenter, Carl Case, Sanjeev Satheesh, Bipin Suresh, Tao Wang, David Wu and Andrew Y. Ng In Proceedings of the International Symposium on Robotics Research (ISRR), 2005. Gary Bradski, Andrew Y. Ng and Kunle Olukotun. [ps, pdf]. Andrew Ng is one of the world's most prominent AI scientists and educators. Andrew Y. Ng, Adam Coates, Mark Diel, Varun Ganapathi, Jamie Schulte, ... Today, I regularly see high school students do the stuff that would have won the best paper award at an academic conference if someone had done it 10 years ago. In Proceedings of the Twenty-second International Conference on Machine Learning, 2005. [pdf] [ps, pdf]. In NIPS 15, 2003. Ashutosh Saxena, Sung H. Chung, and Andrew Y. Ng. of logistic regression and Naive Bayes, [pdf]. [ps, pdf], Latent Dirichlet Allocation, Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations, On Spectral Clustering: Analysis and an algorithm, Drago Anguelov, Ben Taskar, Vasco Chatalbashev, Daphne Koller, Dinkar Gupta, Geremy Heitz and Andrew Y. Ng. J. Zico Kolter and Andrew Y. Ng. An Information-Theoretic Analysis of Preventing "Overfitting" of Cross-Validation data, Andrew Y. Ng, in Proceedings of the Fourteenth International Conference on Machine Learning, 1997. [ps, pdf coming soon] on Artificial Intelligence (IJCAI-01), 2001. [ps, pdf]. In NIPS*2007. In NIPS 16, 2004. Adam Coates, [ps, [ps, and Andrew Y. Ng. pdf], Automatic single-image 3d reconstructions of indoor Manhattan world scenes, Jiquan Ngiam, Pangwei Koh, Zhenghao Chen, Sonia Bhaskar and Andrew Y. Ng. In International Symposium on Experimental Robotics (ISER) 2006. pdf] pdf] Policy search via density estimation, In Proceedings of Robotics: Science and Systems (RSS), 2009. [ps, pdf], Distance metric learning, with application to clustering with side-information, Eric Xing, Andrew Y. Ng, Michael Jordan, and Stuart Russell. Approximate planning in large POMDPs via reusable trajectories, Learning factor graphs in polynomial time & sample complexity, Pieter Abbeel, Daphne Koller and Andrew Y. Ng. Pieter Abbeel and Andrew Y. Ng. [ps, pdf], Link analysis, eigenvectors, and stability, [ps, Andrew Y. Ng and Michael Jordan. [pdf], Make3D: Depth Perception from a Single Still Image, ang@cs.stanford.edu In NIPS*2011. Efficient L1 Regularized Logistic Regression. application to Bayesian feature selection, videos], Grasping Novel Objects with Depth Segmentation, Dave S. De Lorenzo, Yi Gu, Sara Bolouki, Dennis Akos, [ps, Together the couple has welcomed a baby da… In Proceedings of the International Conference on Intelligent Robots and Systems (IROS), 2010. In International Journal of Robotics Research (IJRR), 2008. In NIPS 17, 2005. Transfer learning for text classification, In NIPS 18, 2006. In Proceedings of the Twenty-Ninth International Conference on Machine Learning, 2012. A preliminary version had also appeared in the NIPS*2010 Workshop on Deep Learning and Unsupervised Feature Learning. 5. (2012). [pdf], Sparse Filtering, In Proceedings of the Ninth International Conference on Spoken Language Processing (InterSpeech--ICSLP), 2006. Make3d: Building 3d models from a single still image. [ps, In Proceedings of the Fifteenth International Conference on Honglak Lee, Alexis Battle, Raina Rajat and Andrew Y. Ng. Machine Learning, 1997. and Andrew Y. Ng. Scott Davies, Andrew Y. Ng and Andrew Moore. [ps, In Proceedings of the Fifteenth National Conference on Artificial Intelligence (AAAI-98), 1998. Adam Coates, Pieter Abbeel and Andrew Y. Ng. Honglak Lee, Ekanadham Chaitanya, and Andrew Y. Ng. In AAAI, 2008. [ps, [ps, pdf], Stable adaptive control with online learning, [ps, pdf]. [ps, pdf] Andrew Ng, founder & CEO of Landing AI and founder of deeplearning.ai, discusses key challenges facing AI deployments and possible solutions, ranging from techniques for working with small data to improving algorithms' robustness and generalizability to systematically planning out the full cycle of machine learning projects. In Proceedings of the Twenty-fifth International Conference on Machine Learning, 2008. on Artificial Intelligence (IJCAI-07), 2007. pdf], Peripheral-Foveal Vision for Real-time Object Recognition and Tracking in Video Quoc V. Le, Marc'Aurelio Ranzato, Rajat Monga, Matthieu Devin, Kai Chen, Greg S. Corrado, Jeffrey Dean and Andrew Y. Ng. In Journal of Machine Learning Research, 7:1743-1788, 2006. In Proceedings of the International Conference on Intellegent Robots and Systems (IROS), 2008. Morgan Quigley, Ashutosh Saxena, Min Sun, Andrew Y. Ng. J. Zico Kolter and Andrew Y. Ng. In Proceedings of the In Proceedings of the Fifth International Conference on Field Service Robotics, 2005. In Institute of Navigation (ION) GNSS Conference, 2007. J. Zico Kolter, Adam Coates, Andrew Y. Ng, Yi Gu, and Charles DuHadway. and Andrew Y. Ng. Anya Petrovskaya, Oussama Khatib, Sebastian Thrun, and Andrew Y. Ng. [ps, Andrew Ng. Link analysis, eigenvectors, and stability, pdf] Quadruped robot: Learning algorithms to enable a four-legged robot to climb over obstacles and negotiate rugged terrain. In NIPS*2007. Dave S. De Lorenzo, Yi Gu, Sara Bolouki, Dennis Akos, and Andrew Y. Ng. Einat Minkov, William Cohen and Andrew Y. Ng. Also a book chapter In Proceedings of the Twenty-third Conference on Uncertainty in Artificial Intelligence, 2007.