🧑‍🔬 Andrew Ng — all works

57 works · ← Andrew Ng

1. Latent Dirichlet AllocationJMLR 3David M. Blei, Andrew Y. Ng, Michael I. Jordan2003 · 28,408 citations
2. Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankConference on Empirical Methods in Natural Language Processing (EMNLP)Richard Socher, Alex Perelygin, Jean Wu, et al.2013 · 9,138 citations
3. Learning Word Vectors for Sentiment AnalysisAnnual Meeting of the Association for Computational Linguistics (ACL)Andrew L. Maas, Raymond E. Daly, Peter T. Pham, et al.2011 · 4,333 citations
4. Large Scale Distributed Deep Networks ↗no summary yetJay B. Dean et al.2012 · 3,047 citations
5. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations ↗International Conference on Machine Learning · no summary yetHonglak Lee et al.2009 · 2,412 citations
6. Reasoning With Neural Tensor Networks for Knowledge Base CompletionConference on Neural Information Processing Systems (NeurIPS)Richard Socher, Danqi Chen, Christopher D. Manning, et al.2013 · 1,810 citations
7. Deep Speech: Scaling up end-to-end speech recognitionarXiv:1412.5567Awni Hannun, Carl Case, Jared Casper, et al.2014 · 1,600 citations
8. Semantic Compositionality through Recursive Matrix-Vector SpacesConference on Empirical Methods in Natural Language Processing (EMNLP)Richard Socher, Brody Huval, Christopher D. Manning, et al.2012 · 1,577 citations
9. Semi-Supervised Recursive Autoencoders for Predicting Sentiment DistributionsConference on Empirical Methods in Natural Language Processing (EMNLP)Richard Socher, Jeffrey Pennington, Eric H. Huang, et al.2011 · 1,426 citations
10. Improving Word Representations via Global Context and Multiple Word PrototypesAnnual Meeting of the Association for Computational Linguistics (ACL)Eric Huang, Richard Socher, Christopher Manning, et al.2012 · 1,361 citations
11. Parsing Natural Scenes and Natural Language with Recursive Neural Networks ↗no summary yetRichard Socher et al.2011 · 1,287 citations
12. Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection ↗no summary yetRichard Socher et al.2011 · 1,022 citations
13. Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis ↗no summary yetQuoc Viet Le et al.2011 · 969 citations
14. Unsupervised feature learning for audio classification using convolutional deep belief networks ↗neural information processing systems · no summary yetHonglak Lee et al.2009 · 934 citations
15. Grounded Compositional Semantics for Finding and Describing Images with SentencesTransactions of the Association for Computational Linguistics (TACL)Richard Socher, Andrej Karpathy, Quoc V. Le, et al.2014 · 932 citations
16. On optimization methods for deep learning ↗International Conference on Machine Learning · no summary yetJiquan Ngiam et al.2011 · 880 citations
17. Learning Syntactic Patterns for Automatic Hypernym Discovery ↗neural information processing systems · no summary yetRion Snow, Daniel S. Jurafsky, Andrew Ng2004 · 830 citations
18. Large-scale deep unsupervised learning using graphics processors ↗International Conference on Machine Learning · no summary yetRajat Raina, Anand Madhavan, Andrew Ng2009 · 773 citations
19. Semantic Taxonomy Induction from Heterogenous Evidence ↗Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics · no summary yetRion Snow, Daniel Jurafsky, Andrew Y. Ng2006 · 591 citations
20. End-to-End People Detection in Crowded Scenes ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetRussell Stewart, Mykhaylo Andriluka, Andrew Ng2016 · 541 citations
21. CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetJeremy Irvin et al.2019 · 523 citations
22. Convolutional-Recursive Deep Learning for 3D Object Classification ↗no summary yetRichard Socher et al.2012 · 517 citations
23. Cheap and Fast – But is it Good? Evaluating Non-Expert Annotations for Natural Language TasksConference on Empirical Methods in Natural Language Processing (EMNLP)Rion Snow, Brendan O'Connor, Daniel Jurafsky, et al.2008 · 399 citations
24. High speed obstacle avoidance using monocular vision and reinforcement learning ↗International Conference on Machine Learning · no summary yetJeff Michels, Ashutosh Saxena, Andrew Ng2005 · 394 citations
25. Recurrent neural networks for noise reduction in robust ASR ↗Interspeech (USB) · no summary yetAndrew L. Maas et al.2012 · 340 citations
26. Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERTConference on Empirical Methods in Natural Language Processing (EMNLP)Akshay Smit, Saahil Jain, Pranav Rajpurkar, et al.2020 · 338 citations
27. Measuring Invariances in Deep Networks ↗no summary yetIan Goodfellow et al.2009 · 330 citations
28. Constructing informative priors using transfer learning ↗International Conference on Machine Learning · no summary yetRajat Raina, Andrew Ng, Daphne Koller2006 · 307 citations
29. Tiled convolutional neural networks ↗neural information processing systems · no summary yetJiquan Ngiam et al.2010 · 298 citations
30. ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning ↗no summary yetQuoc Viet Le et al.2011 · 269 citations
31. Near-Bayesian exploration in polynomial time ↗International Conference on Machine Learning · no summary yetJ. Zico Kolter, Andrew Ng2009 · 232 citations
32. Exploration and apprenticeship learning in reinforcement learning ↗International Conference on Machine Learning · no summary yetPieter Abbeel, Andrew Ng2005 · 229 citations
33. Using inaccurate models in reinforcement learning ↗International Conference on Machine Learning · no summary yetPieter Abbeel, Morgan Quigley, Andrew Ng2006 · 211 citations
34. Robust Textual Inference via Graph Matching ↗Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing · no summary yetAria Haghighi, Andrew Ng, Christopher Manning2005 · 203 citations
35. Regularization and feature selection in least-squares temporal difference learning ↗International Conference on Machine Learning · no summary yetJ. Zico Kolter, Andrew Ng2009 · 176 citations
36. Learning to Merge Word Senses ↗Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL) · no summary yetRion Snow et al.2007 · 125 citations
37. Building DNN acoustic models for large vocabulary speech recognition ↗Computer Speech & Language · no summary yetAndrew L. Maas et al.2014 · 123 citations
38. Learning to grasp objects with multiple contact points ↗Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yetQuoc Viet Le et al.2010 · 118 citations
39. High-accuracy 3D sensing for mobile manipulation: Improving object detection and door opening ↗Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yetMorgan Quigley et al.2009 · 91 citations
40. Robust textual inference via learning and abductive reasoning ↗no summary yetRajat Raina, Andrew Ng, Christopher D. Manning2005 · 90 citations
41. Learning Continuous Phrase Representations and Syntactic Parsing with Recursive Neural Networks ↗no summary yetRichard Socher, Christopher D. Manning, Andrew Ng2010 · 82 citations
42. Solving the Problem of Cascading Errors: Approximate Bayesian Inference for Linguistic Annotation Pipelines ↗Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing · no summary yetJenny Rose Finkel, Christopher D. Manning, Andrew Y. Ng2006 · 53 citations
43. Scalable learning for object detection with GPU hardware ↗IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · no summary yetAdam Coates et al.2009 · 52 citations
44. Joint calibration of multiple sensors ↗IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · no summary yetQuoc Viet Le, Andrew Ng2009 · 52 citations
45. Robust Textual Inference using Diverse Knowledge Sources ↗no summary yetRajat Raina et al.2005 · 49 citations
46. Appendix: Building high-level features using large scale unsupervised learning ↗no summary yetQuoc Viet Le et al.2012 · 35 citations
47. Have we met? MDP based speaker ID for robot dialogue ↗Interspeech (USB) · no summary yetFilip Krsmanovic et al.2006 · 17 citations
48. Hierarchical Bayesian Models for Applications in Information retrieval ↗no summary yetJ. M. Bernardo et al.2003 · 2 citations
49. Multi-Dimensional Sentiment Analysis with Learned Representations ↗no summary yetAndrew L. Maas, Andrew Ng, Christopher E. Potts2012 · 1 citation
50. Active Perception: Interactive Manipulation for Improving Object Detection ↗no summary yetQuoc Viet Le, Ashutosh Saxena, Andrew Ng2015
51. FirstPass Large Vocabulary Continuous Speech Recognition using BiDirectional Recurrent DNNs,” arXiv preprint arXiv:1408.2873 ↗no summary yetAndrew L. Maas et al.2014
52. Learning new facts from knowledge bases with neural tensor networks and semantic word vectors, CoRR abs/1301.3618 ↗no summary yetDanqi Chen et al.2013
53. R D Hapc Belt with Pedestrian Detecon ↗no summary yetQuoc Viet Le et al.2013
54. Appendix Learning Hierarchical Invariant Spatio-Temporal Features for Action Recognition with Independent Subspace Analysis ↗no summary yetQuoc Viet Le et al.2011
55. C.D.: Parsing natural scenes and natural language with recursive neural networks ↗no summary yetChristoper D. Manning et al.2011
56. Learning Random Walk Models for ↗no summary yetInducing Word Dependency et al.2004
57. Learning random walk models for inducing word dependency distributions. ICML ↗no summary yetKristina Toutanova, Christopher D. Manning, Andrew Ng2004

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