📰 NeurIPS 2009: all accepted papers

57 papers · the most cited first · ← NeurIPS 2009

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
26. Estimating image bases for visual image reconstruction from human brain activity ↗Yusuke Fujiwara, Yoichi Miyawaki, Yukiyasu Kamitani26 citations
27. Time-rescaling methods for the estimation and assessment of non-Poisson neural encoding models ↗Jonathan W. Pillow25 citations
28. Hierarchical Modeling of Local Image Features through L_p-Nested Symmetric Distributions ↗Matthias Bethge, Eero P. Simoncelli, Fabian H. Sinz23 citations
29. Hierarchical Learning of Dimensional Biases in Human Categorization ↗Adam N. Sanborn, Nick Chater, Katherine Heller18 citations
30. Learning transport operators for image manifolds ↗Benjamin J. Culpepper, Bruno A. Olshausen18 citations
31. Multi-Step Dyna Planning for Policy Evaluation and Control ↗Hengshuai Yao, Shalabh Bhatnagar, Dongcui Diao et al.16 citations
32. Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness ↗Garvesh Raskutti, Bin Yu, Martin J. Wainwright14 citations
33. Speaker Comparison with Inner Product Discriminant Functions ↗Zahi N. Karam, Douglas E. Sturim, William M. Campbell13 citations
34. A Generalized Natural Actor-Critic Algorithm ↗Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto et al.12 citations
35. Audio Scene Understanding using Topic Models ↗Samuel Kim, Shiva Sundaram, Panayiotis Georgiou et al.12 citations
36. Augmenting Feature-driven fMRI Analyses: Semi-supervised learning and resting state activity ↗Andreas Bartels, Matthew B. Blaschko, Jacquelyn A. Shelton12 citations
37. Evaluating multi-class learning strategies in a generative hierarchical framework for object detection ↗Sanja Fidler, Marko Boben, Aleš Leonardis12 citations
38. Particle-based Variational Inference for Continuous Systems ↗Andrew J. Frank, Padhraic Smyth, Alexander Ihler10 citations
39. Beyond Convexity: Online Submodular Minimization ↗Elad Hazan, Satyen Kale9 citations
40. Nonparametric Greedy Algorithms for the Sparse Learning Problem ↗Han Liu, Xi Chen8 citations
41. Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs ↗Alexandre Bouchard‐Côté, Slav Petrov, Dan Klein6 citations
42. An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism ↗Douglas Eck, Yoshua Bengio, Aaron C. Courville5 citations
43. Time series analysis with the causality workbench ↗Isabelle Guyon, Alexander Statnikov, Constantin Aliferis4 citations
44. Breaking Boundaries Between Induction Time and Diagnosis Time Active Information Acquisition ↗Ashish Kapoor, Eric Horvitz3 citations
45. Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference ↗Khashayar Rohanimanesh, Sameer Kumar Singh, Andrew McCallum et al.3 citations
46. Approximating MAP by Compensating for Structural Relaxations ↗Arthur Choi, Adnan Y. Darwiche1 citation
47. Demonstration, Tactile Correction and Multiple Training Data Sources for Robot Motion Control ↗Brenna Argall, Eric L. Sauser, Aude Billard1 citation
48. Individuation, Identification and Object Discovery ↗Charles Kemp, Alan Jern, Fei Xu1 citation
49. Modeling the spacing effect in sequential category learning ↗Hongjing Lu, Matthew Weiden, Alan Yuille1 citation
50. Variable selection and grouping with multiple graph priors ↗Marco Signoretto, Anneleen Daemen, Carlo Savorgnan et al.1 citation
51. Hierarchical Fisher Kernel for Longitudinal Data ↗Zhengdong Lu, Todd K. Leen, Jeffrey Alan Kaye
52. Local Rules for Global MAP: When Do They Work? (Technical Report) ↗Kyomin Jung, Pushmeet Kohli, Devavrat Shah
53. Machine Learning for Brain-Computer Interfaces ↗N. Jeremy Hill
54. Proceedings of the 12th International Conference on Neural Information Processing Systems (NIPS)Mini-Symposium on Causality in Time Series ↗Florin Popescu, Isabelle Guyon
55. STDP performs stochastic EM to reveal the hidden causes of spatiotemporal spiking patterns ↗Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass
56. Transfer Learning Methods and Applications in Computational Biology ↗Gunnar Rätsch
57. Who Talks to Whom: Modeling Latent Structures in Dialogue Documents ↗Bailu Ding, Jiang-Ming Yang, Chong Wang et al.

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