📰 NeurIPS 2009 — accepted papers

NeurIPS 2009 is the 2009 edition of the Conference on Neural Information Processing Systems (NeurIPS). OpenAlex lists 57 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. Advances in Neural Information Processing Systems 21 ↗Thomas L. Griffiths, Christopher G. Lucas, Joseph Jay Williams et al.1,853 citations
2. Unsupervised feature learning for audio classification using convolutional deep belief networks ↗Honglak Lee, Peter T. Pham, Yan Largman et al.918 citations
3. Replicated Softmax: an Undirected Topic Model ↗Geoffrey E. Hinton, Ruslan Salakhutdinov415 citations
4. Multi-Label Prediction via Compressed Sensing ↗John C. Langford, Tong Zhang, Daniel Hsu et al.258 citations
5. Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models ↗Ryan McDonald, Mehryar Mohri, Nathan Silberman et al.224 citations
6. Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation ↗Shalabh Bhatnagar, Doina Precup, David Silver et al.155 citations
7. Slow Learners are Fast ↗Martin Zinkevich, John C. Langford, Alex J. Smola147 citations
8. Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions ↗Kenji Fukumizu, Arthur Gretton, Gert R. G. Lanckriet et al.144 citations
9. Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction ↗Grzegorz Świrszcz, Naoki Abe, Aurelie C. Lozano97 citations
10. Efficient Learning using Forward-Backward Splitting ↗Yoram Singer, John C. Duchi87 citations

All accepted papers (57)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. Advances in Neural Information Processing Systems 21 ↗Thomas L. Griffiths, Christopher G. Lucas, Joseph Jay Williams et al.1,853 citations
2. Unsupervised feature learning for audio classification using convolutional deep belief networks ↗Honglak Lee, Peter T. Pham, Yan Largman et al.918 citations
3. Replicated Softmax: an Undirected Topic Model ↗Geoffrey E. Hinton, Ruslan Salakhutdinov415 citations
4. Multi-Label Prediction via Compressed Sensing ↗John C. Langford, Tong Zhang, Daniel Hsu et al.258 citations
5. Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models ↗Ryan McDonald, Mehryar Mohri, Nathan Silberman et al.224 citations
6. Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation ↗Shalabh Bhatnagar, Doina Precup, David Silver et al.155 citations
7. Slow Learners are Fast ↗Martin Zinkevich, John C. Langford, Alex J. Smola147 citations
8. Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions ↗Kenji Fukumizu, Arthur Gretton, Gert R. G. Lanckriet et al.144 citations
9. Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction ↗Grzegorz Świrszcz, Naoki Abe, Aurelie C. Lozano97 citations
10. Efficient Learning using Forward-Backward Splitting ↗Yoram Singer, John C. Duchi87 citations
11. Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data ↗Shuai Huang, Jing Li, Liang Sun et al.77 citations
12. Exploring Functional Connectivities of the Human Brain using Multivariate Information Analysis ↗Barry Chai, Dirk B. Walther, Diane M. Beck et al.66 citations
13. Noisy Generalized Binary Search ↗Robert D. Nowak62 citations
14. Slow, Decorrelated Features for Pretraining Complex Cell-like Networks ↗Yoshua Bengio, James Bergstra61 citations
15. Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data ↗Boaz Nadler, Nathan Srebro, Xueyuan Zhou52 citations
16. On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation ↗Saketha Nath Jagarlapudi, G. Dinesh, Raman Sankaran et al.50 citations
17. Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis ↗Sundeep Rangan, Alyson K. Fletcher47 citations
18. Matrix Completion from Power-Law Distributed Samples ↗Raghu Meka, Prateek Jain, Inderjit S. Dhillon44 citations
19. Nonlinear directed acyclic structure learning with weakly additive noise models ↗Arthur Gretton, Peter Spirtes, Robert E. Tillman44 citations
20. Sequential effects reflect parallel learning of multiple environmental regularities ↗Matthew Wilder, Matt Jones, Michael C. Mozer43 citations
21. Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing ↗Sundeep Rangan, Vivek K Goyal, Alyson K. Fletcher37 citations
22. Boosting with Spatial Regularization ↗Yongxin Xi, Uri Hasson, Peter J. Ramadge et al.30 citations
23. No evidence for active sparsification in the visual cortex ↗Pietro Berkes, Benjamen White, József Fiser28 citations
24. Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes ↗Kian Ming A. Chai27 citations
25. Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions ↗Bangpeng Yao, Dirk B. Walther, Diane M. Beck et al.27 citations

See all 57 papers in NeurIPS 2009 — accepted papers →

📄 Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. Reading Tea Leaves: How Humans Interpret Topic ModelsConference on Neural Information Processing Systems (NeurIPS)Jonathan Chang, Jordan Boyd-Graber, Sean Gerrish, et al.2009 · 2,045 citations

📚 Fields

🎭Arts and Humanities (1)🖥️Computer Science (1)🤝Social Sciences (1)

🧑‍🔬 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

🏛️ Top institutions

Institutions on the bylines of its works here, by the number of works.

🎓Princeton UniversityPrinceton · United States1 work here🏢MetaMenlo Park · United States1 work here🎓University of Maryland, College ParkCollege Park · United States1 work here

works and citations from OpenAlex and our library.

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