---
title: "Andrew Ng — all works — Elamur Research"
description: "All 58 works of Andrew Ng in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/andrew-ng/works/"
---
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# Andrew Ng — all works

58 works · [← Andrew Ng](https://md.research.elamur.ai/free/en/authors/andrew-ng/)

1. [**Latent Dirichlet Allocation JMLR 3**David M. Blei, Andrew Y. Ng, Michael I. Jordan*2003 · 28,408 citations*](https://md.research.elamur.ai/free/en/papers/blei-2003-latent-dirichlet-allocation/)
2. **[Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank](https://md.research.elamur.ai/free/en/papers/socher-2013-recursive-deep-models-semantic-compositionality/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Richard Socher, Alex Perelygin, Jean Wu, et al.*2013 · 9,138 citations*
3. **[Learning Word Vectors for Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/maas-2011-learning-word-vectors-sentiment-analysis/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Andrew L. Maas, Raymond E. Daly, Peter T. Pham, et al.*2011 · 4,333 citations*
4. **[Large Scale Distributed Deep Networks ↗](https://openalex.org/W2168231600) no summary yet**Jay B. Dean et al.*2012 · 3,047 citations*
5. **[Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations ↗](https://doi.org/10.1145/1553374.1553453) International Conference on Machine Learning · no summary yet**Honglak Lee et al.*2009 · 2,412 citations*
6. **[Reasoning With Neural Tensor Networks for Knowledge Base Completion](https://md.research.elamur.ai/free/en/papers/socher-2013-reasoning-neural-tensor-networks-knowledge/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Richard Socher, Danqi Chen, Christopher D. Manning, et al.*2013 · 1,810 citations*
7. [**Deep Speech: Scaling up end-to-end speech recognition arXiv:1412.5567**Awni Hannun, Carl Case, Jared Casper, et al.*2014 · 1,600 citations*](https://md.research.elamur.ai/free/en/papers/hannun-2014-deep-speech-scaling-up-end/)
8. **[Semantic Compositionality through Recursive Matrix-Vector Spaces](https://md.research.elamur.ai/free/en/papers/socher-2012-semantic-compositionality-through-recursive-matrix/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Richard Socher, Brody Huval, Christopher D. Manning, et al.*2012 · 1,577 citations*
9. **[Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions](https://md.research.elamur.ai/free/en/papers/socher-2011-semi-supervised-recursive-autoencoders-predicting/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Richard Socher, Jeffrey Pennington, Eric H. Huang, et al.*2011 · 1,426 citations*
10. **[Improving Word Representations via Global Context and Multiple Word Prototypes](https://md.research.elamur.ai/free/en/papers/huang-2012-improving-word-representations-global-context/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Eric Huang, Richard Socher, Christopher Manning, et al.*2012 · 1,361 citations*
11. **[Parsing Natural Scenes and Natural Language with Recursive Neural Networks ↗](https://openalex.org/W1423339008) no summary yet**Richard Socher et al.*2011 · 1,287 citations*
12. **[Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection ↗](https://openalex.org/W2103305545) no summary yet**Richard Socher et al.*2011 · 1,022 citations*
13. **[Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis ↗](https://doi.org/10.1109/cvpr.2011.5995496) no summary yet**Quoc Viet Le et al.*2011 · 969 citations*
14. **[Unsupervised feature learning for audio classification using convolutional deep belief networks ↗](https://openalex.org/W2107789863) neural information processing systems · no summary yet**Honglak Lee et al.*2009 · 934 citations*
15. **[Grounded Compositional Semantics for Finding and Describing Images with Sentences](https://md.research.elamur.ai/free/en/papers/socher-2014-grounded-compositional-semantics-finding-describing/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Richard Socher, Andrej Karpathy, Quoc V. Le, et al.*2014 · 932 citations*
16. **[On optimization methods for deep learning ↗](https://openalex.org/W2102017903) International Conference on Machine Learning · no summary yet**Jiquan Ngiam et al.*2011 · 880 citations*
17. **[Learning Syntactic Patterns for Automatic Hypernym Discovery ↗](https://openalex.org/W2142086811) neural information processing systems · no summary yet**Rion Snow, Daniel S. Jurafsky, Andrew Ng*2004 · 830 citations*
18. **[Large-scale deep unsupervised learning using graphics processors ↗](https://doi.org/10.1145/1553374.1553486) International Conference on Machine Learning · no summary yet**Rajat Raina, Anand Madhavan, Andrew Ng*2009 · 773 citations*
19. **[Semantic Taxonomy Induction from Heterogenous Evidence ↗](https://aclanthology.org/P06-1101/) Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics · no summary yet**Rion Snow, Daniel Jurafsky, Andrew Y. Ng*2006 · 591 citations*
20. **[End-to-End People Detection in Crowded Scenes ↗](https://doi.org/10.1109/cvpr.2016.255) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Russell Stewart, Mykhaylo Andriluka, Andrew Ng*2016 · 541 citations*
21. **[CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison ↗](https://doi.org/10.1609/aaai.v33i01.3301590) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Jeremy Irvin et al.*2019 · 523 citations*
22. **[Convolutional-Recursive Deep Learning for 3D Object Classification ↗](https://openalex.org/W2109992539) no summary yet**Richard Socher et al.*2012 · 517 citations*
23. **[Cheap and Fast – But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks](https://md.research.elamur.ai/free/en/papers/snow-2008-cheap-fast-but-is-it/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Rion Snow, Brendan O'Connor, Daniel Jurafsky, et al.*2008 · 399 citations*
24. **[High speed obstacle avoidance using monocular vision and reinforcement learning ↗](https://doi.org/10.1145/1102351.1102426) International Conference on Machine Learning · no summary yet**Jeff Michels, Ashutosh Saxena, Andrew Ng*2005 · 394 citations*
25. **[Recurrent neural networks for noise reduction in robust ASR ↗](https://doi.org/10.21437/interspeech.2012-6) Interspeech (USB) · no summary yet**Andrew L. Maas et al.*2012 · 340 citations*
26. **[Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT](https://md.research.elamur.ai/free/en/papers/smit-2020-combining-automatic-labelers-expert-annotations/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Akshay Smit, Saahil Jain, Pranav Rajpurkar, et al.*2020 · 338 citations*
27. **[Measuring Invariances in Deep Networks ↗](https://openalex.org/W2105728138) no summary yet**Ian Goodfellow et al.*2009 · 330 citations*
28. **[Constructing informative priors using transfer learning ↗](https://doi.org/10.1145/1143844.1143934) International Conference on Machine Learning · no summary yet**Rajat Raina, Andrew Ng, Daphne Koller*2006 · 307 citations*
29. **[Tiled convolutional neural networks ↗](https://openalex.org/W2147860648) neural information processing systems · no summary yet**Jiquan Ngiam et al.*2010 · 298 citations*
30. **[ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning ↗](https://openalex.org/W2112274848) no summary yet**Quoc Viet Le et al.*2011 · 269 citations*
31. **[Near-Bayesian exploration in polynomial time ↗](https://doi.org/10.1145/1553374.1553441) International Conference on Machine Learning · no summary yet**J. Zico Kolter, Andrew Ng*2009 · 232 citations*
32. **[Exploration and apprenticeship learning in reinforcement learning ↗](https://doi.org/10.1145/1102351.1102352) International Conference on Machine Learning · no summary yet**Pieter Abbeel, Andrew Ng*2005 · 229 citations*
33. **[Using inaccurate models in reinforcement learning ↗](https://doi.org/10.1145/1143844.1143845) International Conference on Machine Learning · no summary yet**Pieter Abbeel, Morgan Quigley, Andrew Ng*2006 · 211 citations*
34. **[Robust Textual Inference via Graph Matching ↗](https://aclanthology.org/H05-1049/) Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing · no summary yet**Aria Haghighi, Andrew Ng, Christopher Manning*2005 · 203 citations*
35. **[Regularization and feature selection in least-squares temporal difference learning ↗](https://doi.org/10.1145/1553374.1553442) International Conference on Machine Learning · no summary yet**J. Zico Kolter, Andrew Ng*2009 · 176 citations*
36. [**Neural Language Correction with Character-Based Attention arXiv:1603.09727**Ziang Xie, Anand Avati, Naveen Arivazhagan, et al.*2016 · 164 citations*](https://md.research.elamur.ai/free/en/papers/xie-2016-neural-language-correction-character-based/)
37. **[Learning to Merge Word Senses ↗](https://aclanthology.org/D07-1107/) Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL) · no summary yet**Rion Snow et al.*2007 · 125 citations*
38. **[Building DNN acoustic models for large vocabulary speech recognition ↗](https://doi.org/10.1016/j.csl.2016.06.007) Computer Speech & Language · no summary yet**Andrew L. Maas et al.*2014 · 123 citations*
39. **[Learning to grasp objects with multiple contact points ↗](https://doi.org/10.1109/robot.2010.5509508) Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yet**Quoc Viet Le et al.*2010 · 118 citations*
40. **[High-accuracy 3D sensing for mobile manipulation: Improving object detection and door opening ↗](https://doi.org/10.1109/robot.2009.5152750) Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yet**Morgan Quigley et al.*2009 · 91 citations*
41. **[Robust textual inference via learning and abductive reasoning ↗](https://openalex.org/W154270115) no summary yet**Rajat Raina, Andrew Ng, Christopher D. Manning*2005 · 90 citations*
42. **[Learning Continuous Phrase Representations and Syntactic Parsing with Recursive Neural Networks ↗](https://openalex.org/W7099875597) no summary yet**Richard Socher, Christopher D. Manning, Andrew Ng*2010 · 82 citations*
43. **[Solving the Problem of Cascading Errors: Approximate Bayesian Inference for Linguistic Annotation Pipelines ↗](https://aclanthology.org/W06-1673/) Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing · no summary yet**Jenny Rose Finkel, Christopher D. Manning, Andrew Y. Ng*2006 · 53 citations*
44. **[Scalable learning for object detection with GPU hardware ↗](https://doi.org/10.1109/iros.2009.5354084) IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · no summary yet**Adam Coates et al.*2009 · 52 citations*
45. **[Joint calibration of multiple sensors ↗](https://doi.org/10.1109/iros.2009.5354272) IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · no summary yet**Quoc Viet Le, Andrew Ng*2009 · 52 citations*
46. **[Robust Textual Inference using Diverse Knowledge Sources ↗](http://hdl.handle.net/2078.1/284884) no summary yet**Rajat Raina et al.*2005 · 49 citations*
47. **[Appendix: Building high-level features using large scale unsupervised learning ↗](https://openalex.org/W2184557417) no summary yet**Quoc Viet Le et al.*2012 · 35 citations*
48. **[Have we met? MDP based speaker ID for robot dialogue ↗](https://doi.org/10.21437/interspeech.2006-147) Interspeech (USB) · no summary yet**Filip Krsmanovic et al.*2006 · 17 citations*
49. **[Hierarchical Bayesian Models for Applications in Information retrieval ↗](https://openalex.org/W7095674263) no summary yet**J. M. Bernardo et al.*2003 · 2 citations*
50. **[Multi-Dimensional Sentiment Analysis with Learned Representations ↗](https://openalex.org/W7098446324) no summary yet**Andrew L. Maas, Andrew Ng, Christopher E. Potts*2012 · 1 citation*
51. **[Active Perception: Interactive Manipulation for Improving Object Detection ↗](https://openalex.org/W7097849993) no summary yet**Quoc Viet Le, Ashutosh Saxena, Andrew Ng*2015*
52. **[FirstPass Large Vocabulary Continuous Speech Recognition using BiDirectional Recurrent DNNs,” arXiv preprint arXiv:1408.2873 ↗](https://openalex.org/W7100543656) no summary yet**Andrew L. Maas et al.*2014*
53. **[Learning new facts from knowledge bases with neural tensor networks and semantic word vectors, CoRR abs/1301.3618 ↗](https://openalex.org/W7095460700) no summary yet**Danqi Chen et al.*2013*
54. **[R D Hapc Belt with Pedestrian Detecon ↗](https://openalex.org/W7096434681) no summary yet**Quoc Viet Le et al.*2013*
55. **[Appendix Learning Hierarchical Invariant Spatio-Temporal Features for Action Recognition with Independent Subspace Analysis ↗](https://openalex.org/W7095220796) no summary yet**Quoc Viet Le et al.*2011*
56. **[C.D.: Parsing natural scenes and natural language with recursive neural networks ↗](https://openalex.org/W7100767117) no summary yet**Christoper D. Manning et al.*2011*
57. **[Learning Random Walk Models for ↗](https://openalex.org/W7098764618) no summary yet**Inducing Word Dependency et al.*2004*
58. **[Learning random walk models for inducing word dependency distributions. ICML ↗](https://openalex.org/W7098110114) no summary yet**Kristina Toutanova, Christopher D. Manning, Andrew Ng*2004*