📰 NeurIPS 2013: all accepted papers

74 papers · the most cited first · ← NeurIPS 2013

1. Understanding Dropout ↗Pierre Baldi, Peter Sadowski407 citations
2. Learning word embeddings efficiently with noise-contrastive estimation ↗Andriy Mnih, Koray Kavukcuoglu404 citations
3. Training and Analysing Deep Recurrent Neural Networks ↗Michiel Hermans, Benjamin Schrauwen383 citations
4. Adaptive dropout for training deep neural networks ↗Jimmy Lei Ba, Brendan J. Frey256 citations
5. Mid-level Visual Element Discovery as Discriminative Mode Seeking ↗Carl Doersch, Abhinav Gupta, Alexei A. Efros232 citations
6. BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables ↗Cho‐Jui Hsieh, Mátyás A. Sustik, Inderjit S. Dhillon et al.151 citations
7. Deep Fisher Networks for Large-Scale Image Classification ↗Karen Simonyan, Andrea Vedaldi, Andrew Zisserman142 citations
8. Compete to Compute ↗Rupesh K. Srivastava, Jonathan Masci, Sohrob Kazerounian et al.121 citations
9. Multi-Prediction Deep Boltzmann Machines ↗Ian Goodfellow, Mehdi Mirza, Aaron C. Courville et al.108 citations
10. Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA ↗Vincent Q. Vu, Juhee Cho, Jing Lei et al.101 citations
11. Estimating the Unseen: Improved Estimators for Entropy and other Properties ↗Paul Valiant, Gregory Valiant73 citations
12. Parallel Sampling of DP Mixture Models using Sub-Cluster Splits ↗Jason S. Chang, John Sheridan Fisher72 citations
13. (Nearly) Optimal Algorithms for Private Online Learning in Full-information and Bandit Settings ↗Abhradeep Thakurta, Adam Smith68 citations
14. Eluder Dimension and the Sample Complexity of Optimistic Exploration ↗Dan Russo, Benjamin Van Roy66 citations
15. Learning from Limited Demonstrations ↗Beomjoon Kim, Amir massoud Farahmand, Joëlle Pineau et al.66 citations
16. Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation ↗Dahua Lin56 citations
17. Manifold-based Similarity Adaptation for Label Propagation ↗Masayuki Karasuyama, Hiroshi Mamitsuka52 citations
18. Probabilistic Principal Geodesic Analysis ↗Miaomiao Zhang, P. Thomas Fletcher52 citations
19. Better Approximation and Faster Algorithm Using the Proximal Average ↗Yaoliang Yu49 citations
20. Fast Determinantal Point Process Sampling with Application to Clustering ↗Byungkon Kang47 citations
21. On Poisson Graphical Models ↗Eunho Yang, Pradeep Ravikumar, Genevera I. Allen et al.47 citations
22. A memory frontier for complex synapses ↗Subhaneil Lahiri, Surya Ganguli43 citations
23. Estimating LASSO Risk and Noise Level ↗Mohsen Bayati, Murat A. Erdogdu, Andrea Montanari A42 citations
24. Supervised Sparse Analysis and Synthesis Operators ↗Pablo Sprechmann, Roee Litman, Tal Ben Yakar et al.41 citations
25. Approximate Inference in Continuous Determinantal Processes ↗Raja Hafiz Affandi, Emily B. Fox, Ben Taskar37 citations
26. Sign Cauchy Projections and Chi-Square Kernel ↗Ping Li, Gennady Samorodnitsk, John E. Hopcroft34 citations
27. Dirty Statistical Models ↗Eunho Yang, Pradeep Ravikumar32 citations
28. Distributed k-means and k-median clustering on general communication topologies ↗Maria-Florina Balcan, Steven Ehrlich, Yingyu Liang28 citations
29. Machine Teaching for Bayesian Learners in the Exponential Family ↗Junwei Zhu27 citations
30. Approximate Gaussian process inference for the drift function in stochastic differential equations ↗Andreas Ruttor, Philipp Batz, Manfred Opper25 citations
31. Learning to Pass Expectation Propagation Messages ↗Nicolas Heess, Daniel Tarlow, John Michael Winn24 citations
32. Low-rank matrix reconstruction and clustering via approximate message passing ↗Ryosuke Matsushita, Toshiyuki Tanaka24 citations
33. On the Relationship Between Binary Classification, Bipartite Ranking, and Binary Class Probability Estimation ↗Harikrishna Narasimhan, Shivani Agarwal24 citations
34. Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors ↗Xiaoqin Zhang, Di Wang, Zhengyuan Zhou et al.24 citations
35. Designed Measurements for Vector Count Data ↗Liming Wang, David Carlson, Miguel R. D. Rodrigues et al.21 citations
36. Latent Maximum Margin Clustering ↗Guang-Tong Zhou, Tian Lan, Arash Vahdat et al.21 citations
37. Small-Variance Asymptotics for Hidden Markov Models ↗Anirban Roychowdhury, Ke Jiang, Brian Kulis21 citations
38. A multi-agent control framework for co-adaptation in brain-computer interfaces ↗Josh Merel, Roy Fox, Tony Jebara et al.20 citations
39. Learning Multi-level Sparse Representations ↗Ferran Diego, Fred A. Hamprecht20 citations
40. On Algorithms for Sparse Multi-factor NMF ↗Siwei Lyu, Xin Wang20 citations
41. Similarity Component Analysis ↗Soravit Changpinyo, Kuan Liu, Fei Sha19 citations
42. Compressive Feature Learning ↗Hristo S. Paskov, Robert B. West, John C. Mitchell et al.18 citations
43. Online Variational Approximations to non-Exponential Family Change Point Models: With Application to Radar Tracking ↗R.D. Turner, Steven Bottone, Clay J. Stanek17 citations
44. q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions ↗Assaf Glazer, Michael Lindenbaum, Shaul Markovitch17 citations
45. Factorized Asymptotic Bayesian Inference for Latent Feature Models ↗Kohei Hayashi, Ryohei Fujimaki15 citations
46. Projected Natural Actor-Critic ↗Philip S. Thomas, William Dabney, Stephen Giguere et al.15 citations
47. Data-driven Distributionally Robust Polynomial Optimization ↗Martin Mevissen, Emanuele Ragnoli, Jia Yuan Yu14 citations
48. Documents as multiple overlapping windows into grids of counts ↗Alessandro Perina, Nebojša Jojić, Manuele Bicego et al.14 citations
49. Stochastic Ratio Matching of RBMs for Sparse High-Dimensional Inputs ↗Yann Dauphin, Yoshua Bengio14 citations
50. An Approximate, Efficient LP Solver for LP Rounding ↗Srikrishna Sridhar, Stephen J. Wright, Christopher Ré et al.12 citations
51. Pass-efficient unsupervised feature selection ↗Crystal Maung, Haim Schweitzer12 citations
52. Efficient supervised sparse analysis and synthesis operators ↗Pablo Sprechmann, Roee Litman, Tal Ben Yakar et al.11 citations
53. Perfect Associative Learning with Spike-Timing-Dependent Plasticity ↗Christian Albers, Maren Westkott, Klaus Richard Pawelzik10 citations
54. Robust Image Denoising with Multi-Column Deep Neural Networks ↗Forest Agostinelli, Michael R. Anderson, Honglak Lee10 citations
55. Symbolic Opportunistic Policy Iteration for Factored-Action MDPs ↗Aswin Raghavan, Roni Khardon, Alan Fern et al.10 citations
56. On model selection consistency of penalized M-estimators: a geometric theory ↗Jason D. Lee, Yuekai Sun, Jonathan Taylor9 citations
57. Conditional Random Fields via Univariate Exponential Families ↗Eunho Yang, Pradeep Ravikumar, Genevera I. Allen et al.8 citations
58. Mapping paradigm ontologies to and from the brain ↗Yannick Schwartz, Bertrand Thirion, Gael P. Varoquaux8 citations
59. On the Expressive Power of Restricted Boltzmann Machines. ↗James Martens, Arkadev Chattopadhyay, Toniann Pitassi et al.8 citations
60. What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach ↗Zhenwen Dai, Georgios Exarchakis, Jörg Lücke7 citations
61. Design and Learning of Output Representations for Speech Recognition ↗Li Deng5 citations
62. Reciprocally Coupled Local Estimators Implement Bayesian Information Integration Distributively ↗Wenhao Zhang, Si Wu5 citations
63. Optimal Neural Population Codes for High-dimensional Stimulus Variables ↗Zhuo Wang, Alan A. Stocker, Daniel Lee4 citations
64. Towards entertaining and efficient educational games ↗András Lörincz, Gyöngyvér Molnár, László A. Jeni et al.3 citations
65. Optimal integration of visual speed across different spatiotemporal frequency channels ↗Matjaž Jogan, Alan A. Stocker2 citations
66. Robust Sparse Principal Component Regression under the High Dimensional Elliptical Model ↗Fang Han, Han Liu2 citations
67. Sparse Inverse Covariance Estimation with Calibration ↗Tuo Zhao, Han Liu2 citations
68. Nonparametric Reduced Rank Regression ↗Foygel, R. F. Horrell, Drton et al.1 citation
69. What do row and column marginals reveal about your dataset ↗Behzad Golshan, John W. Byers, Evimaria Terzi1 citation
70. 26th International Conference on Neural Information Processing Systems (NIPS 2013), Lake Tahoe, 5-8 December, 2013 ↗Jukka Corander, Tomi Janhunen, Jussi Rintanen et al.
71. Causal contributions of parietal cortex to perceptual selection and spatial binding ↗Natalia Zaretskaya
72. Context-sensitive active sensing in humans ↗Sheeraz Ahmad, He Huang, Angela J. Yu
73. Sparse precision matrix estimation with calibration ↗Tuo Zhao, Han Liu
74. The Primate Insular Cortex: A neuroanatomical insight intointeroception, emotion and self-awareness ↗HC Evrard

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