---
title: "NeurIPS 2013 — all accepted papers — the most cited first"
description: "All 74 papers of NeurIPS 2013, the most cited first; those with our summary link to it. Among them: Understanding Dropout ↗."
canonical: "https://research.elamur.ai/free/en/venues/neural-information-processing-systems/2013/papers/"
---
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# NeurIPS 2013: all accepted papers

74 papers · the most cited first · [← NeurIPS 2013](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2013/)

1. **[Understanding Dropout ↗](https://papers.nips.cc/paper/4878-understanding-dropout.pdf)**Pierre Baldi, Peter Sadowski*407 citations*
2. **[Learning word embeddings efficiently with noise-contrastive estimation ↗](http://papers.nips.cc/paper/5165-learning-word-embeddings-efficiently-with-noise-contrastive-estimation.pdf)**Andriy Mnih, Koray Kavukcuoglu*404 citations*
3. **[Training and Analysing Deep Recurrent Neural Networks ↗](https://papers.nips.cc/paper/5166-training-and-analysing-deep-recurrent-neural-networks.pdf)**Michiel Hermans, Benjamin Schrauwen*383 citations*
4. **[Adaptive dropout for training deep neural networks ↗](https://papers.nips.cc/paper/2013/file/7b5b23f4aadf9513306bcd59afb6e4c9-Paper.pdf)**Jimmy Lei Ba, Brendan J. Frey*256 citations*
5. **[Mid-level Visual Element Discovery as Discriminative Mode Seeking ↗](https://papers.nips.cc/paper/5202-mid-level-visual-element-discovery-as-discriminative-mode-seeking.pdf)**Carl Doersch, Abhinav Gupta, Alexei A. Efros*232 citations*
6. **[BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables ↗](https://papers.nips.cc/paper/4923-big-quic-sparse-inverse-covariance-estimation-for-a-million-variables.pdf)**Cho‐Jui Hsieh, Mátyás A. Sustik, Inderjit S. Dhillon et al.*151 citations*
7. **[Deep Fisher Networks for Large-Scale Image Classification ↗](https://www.robots.ox.ac.uk/~vedaldi/assets/pubs/simonyan13deep-poster.pdf)**Karen Simonyan, Andrea Vedaldi, Andrew Zisserman*142 citations*
8. **[Compete to Compute ↗](http://people.idsia.ch/~juergen/nips2013.pdf)**Rupesh K. Srivastava, Jonathan Masci, Sohrob Kazerounian et al.*121 citations*
9. **[Multi-Prediction Deep Boltzmann Machines ↗](https://papers.nips.cc/paper/2013/file/0bb4aec1710521c12ee76289d9440817-Paper.pdf)**Ian Goodfellow, Mehdi Mirza, Aaron C. Courville et al.*108 citations*
10. **[Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA ↗](https://papers.nips.cc/paper/5136-fantope-projection-and-selection-a-near-optimal-convex-relaxation-of-sparse-pca.pdf)**Vincent Q. Vu, Juhee Cho, Jing Lei et al.*101 citations*
11. **[Estimating the Unseen: Improved Estimators for Entropy and other Properties ↗](https://papers.nips.cc/paper/2013/file/53c04118df112c13a8c34b38343b9c10-Paper.pdf)**Paul Valiant, Gregory Valiant*73 citations*
12. **[Parallel Sampling of DP Mixture Models using Sub-Cluster Splits ↗](https://papers.nips.cc/paper/5162-parallel-sampling-of-dp-mixture-models-using-sub-cluster-splits.pdf)**Jason S. Chang, John Sheridan Fisher*72 citations*
13. **[(Nearly) Optimal Algorithms for Private Online Learning in Full-information and Bandit Settings ↗](https://papers.nips.cc/paper/2013/file/c850371fda6892fbfd1c5a5b457e5777-Paper.pdf)**Abhradeep Thakurta, Adam Smith*68 citations*
14. **[Eluder Dimension and the Sample Complexity of Optimistic Exploration ↗](https://papers.nips.cc/paper/2013/file/41bfd20a38bb1b0bec75acf0845530a7-Paper.pdf)**Dan Russo, Benjamin Van Roy*66 citations*
15. **[Learning from Limited Demonstrations ↗](https://papers.nips.cc/paper/4918-learning-from-limited-demonstrations.pdf)**Beomjoon Kim, Amir massoud Farahmand, Joëlle Pineau et al.*66 citations*
16. **[Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation ↗](http://ece.duke.edu/~lcarin/Changwei12.19.2014.pdf)**Dahua Lin*56 citations*
17. **[Manifold-based Similarity Adaptation for Label Propagation ↗](https://papers.nips.cc/paper/5001-manifold-based-similarity-adaptation-for-label-propagation.pdf)**Masayuki Karasuyama, Hiroshi Mamitsuka*52 citations*
18. **[Probabilistic Principal Geodesic Analysis ↗](https://papers.nips.cc/paper/5133-probabilistic-principal-geodesic-analysis.pdf)**Miaomiao Zhang, P. Thomas Fletcher*52 citations*
19. **[Better Approximation and Faster Algorithm Using the Proximal Average ↗](https://papers.nips.cc/paper/4934-better-approximation-and-faster-algorithm-using-the-proximal-average.pdf)**Yaoliang Yu*49 citations*
20. **[Fast Determinantal Point Process Sampling with Application to Clustering ↗](https://papers.nips.cc/paper/5008-fast-determinantal-point-process-sampling-with-application-to-clustering.pdf)**Byungkon Kang*47 citations*
21. **[On Poisson Graphical Models ↗](https://papers.nips.cc/paper/5153-on-poisson-graphical-models.pdf)**Eunho Yang, Pradeep Ravikumar, Genevera I. Allen et al.*47 citations*
22. **[A memory frontier for complex synapses ↗](https://papers.nips.cc/paper/4872-a-memory-frontier-for-complex-synapses.pdf)**Subhaneil Lahiri, Surya Ganguli*43 citations*
23. **[Estimating LASSO Risk and Noise Level ↗](https://papers.nips.cc/paper/2013/file/2b8a61594b1f4c4db0902a8a395ced93-Paper.pdf)**Mohsen Bayati, Murat A. Erdogdu, Andrea Montanari A*42 citations*
24. **[Supervised Sparse Analysis and Synthesis Operators ↗](https://papers.nips.cc/paper/2013/file/7380ad8a673226ae47fce7bff88e9c33-Paper.pdf)**Pablo Sprechmann, Roee Litman, Tal Ben Yakar et al.*41 citations*
25. **[Approximate Inference in Continuous Determinantal Processes ↗](https://papers.nips.cc/paper/4916-approximate-inference-in-continuous-determinantal-processes.pdf)**Raja Hafiz Affandi, Emily B. Fox, Ben Taskar*37 citations*
26. **[Sign Cauchy Projections and Chi-Square Kernel ↗](https://papers.nips.cc/paper/2013/file/3210ddbeaa16948a702b6049b8d9a202-Paper.pdf)**Ping Li, Gennady Samorodnitsk, John E. Hopcroft*34 citations*
27. **[Dirty Statistical Models ↗](https://papers.nips.cc/paper/5092-dirty-statistical-models.pdf)**Eunho Yang, Pradeep Ravikumar*32 citations*
28. **[Distributed k-means and k-median clustering on general communication topologies ↗](https://dblp.uni-trier.de/db/conf/nips/nips2013.html#BalcanEL13)**Maria-Florina Balcan, Steven Ehrlich, Yingyu Liang*28 citations*
29. **[Machine Teaching for Bayesian Learners in the Exponential Family ↗](https://papers.nips.cc/paper/5042-machine-teaching-for-bayesian-learners-in-the-exponential-family.pdf)**Junwei Zhu*27 citations*
30. **[Approximate Gaussian process inference for the drift function in stochastic differential equations ↗](https://papers.nips.cc/paper/4967-approximate-gaussian-process-inference-for-the-drift-function-in-stochastic-differential-equations.pdf)**Andreas Ruttor, Philipp Batz, Manfred Opper*25 citations*
31. **[Learning to Pass Expectation Propagation Messages ↗](https://papers.nips.cc/paper/5070-learning-to-pass-expectation-propagation-messages.pdf)**Nicolas Heess, Daniel Tarlow, John Michael Winn*24 citations*
32. **[Low-rank matrix reconstruction and clustering via approximate message passing ↗](https://papers.nips.cc/paper/5074-low-rank-matrix-reconstruction-and-clustering-via-approximate-message-passing.pdf)**Ryosuke Matsushita, Toshiyuki Tanaka*24 citations*
33. **[On the Relationship Between Binary Classification, Bipartite Ranking, and Binary Class Probability Estimation ↗](https://papers.nips.cc/paper/2013/file/05311655a15b75fab86956663e1819cd-Paper.pdf)**Harikrishna Narasimhan, Shivani Agarwal*24 citations*
34. **[Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors ↗](http://papers.nips.cc/paper/5040-simultaneous-rectification-and-alignment-via-robust-recovery-of-low-rank-tensors.pdf)**Xiaoqin Zhang, Di Wang, Zhengyuan Zhou et al.*24 citations*
35. **[Designed Measurements for Vector Count Data ↗](http://ece.duke.edu/~lcarin/Liming_NIPS13.pdf)**Liming Wang, David Carlson, Miguel R. D. Rodrigues et al.*21 citations*
36. **[Latent Maximum Margin Clustering ↗](https://cs.stanford.edu/~taranlan/pdf/zhou-nips13.pdf)**Guang-Tong Zhou, Tian Lan, Arash Vahdat et al.*21 citations*
37. **[Small-Variance Asymptotics for Hidden Markov Models ↗](http://people.bu.edu/bkulis/pubs/nips_ahmm.pdf)**Anirban Roychowdhury, Ke Jiang, Brian Kulis*21 citations*
38. **[A multi-agent control framework for co-adaptation in brain-computer interfaces ↗](https://papers.nips.cc/paper/5176-a-multi-agent-control-framework-for-co-adaptation-in-brain-computer-interfaces.pdf)**Josh Merel, Roy Fox, Tony Jebara et al.*20 citations*
39. **[Learning Multi-level Sparse Representations ↗](https://papers.nips.cc/paper/5076-learning-multi-level-sparse-representations.pdf)**Ferran Diego, Fred A. Hamprecht*20 citations*
40. **[On Algorithms for Sparse Multi-factor NMF ↗](https://papers.nips.cc/paper/5141-on-algorithms-for-sparse-multi-factor-nmf.pdf)**Siwei Lyu, Xin Wang*20 citations*
41. **[Similarity Component Analysis ↗](https://papers.nips.cc/paper/5015-similarity-component-analysis.pdf)**Soravit Changpinyo, Kuan Liu, Fei Sha*19 citations*
42. **[Compressive Feature Learning ↗](https://papers.nips.cc/paper/4932-compressive-feature-learning.pdf)**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 ↗](https://papers.nips.cc/paper/2013/file/539fd53b59e3bb12d203f45a912eeaf2-Paper.pdf)**R.D. Turner, Steven Bottone, Clay J. Stanek*17 citations*
44. **[q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions ↗](https://papers.nips.cc/paper/5125-q-ocsvm-a-q-quantile-estimator-for-high-dimensional-distributions.pdf)**Assaf Glazer, Michael Lindenbaum, Shaul Markovitch*17 citations*
45. **[Factorized Asymptotic Bayesian Inference for Latent Feature Models ↗](https://papers.nips.cc/paper/5171-factorized-asymptotic-bayesian-inference-for-latent-feature-models.pdf)**Kohei Hayashi, Ryohei Fujimaki*15 citations*
46. **[Projected Natural Actor-Critic ↗](http://people.cs.umass.edu/~mahadeva/papers/Projected%20Natural%20Actor-Critic.pdf)**Philip S. Thomas, William Dabney, Stephen Giguere et al.*15 citations*
47. **[Data-driven Distributionally Robust Polynomial Optimization ↗](http://researcher.watson.ibm.com/researcher/files/ie-MARTMEVI/nips13-full.pdf)**Martin Mevissen, Emanuele Ragnoli, Jia Yuan Yu*14 citations*
48. **[Documents as multiple overlapping windows into grids of counts ↗](http://profs.sci.univr.it/~bicego/papers/2013_NIPS.pdf)**Alessandro Perina, Nebojša Jojić, Manuele Bicego et al.*14 citations*
49. **[Stochastic Ratio Matching of RBMs for Sparse High-Dimensional Inputs ↗](https://papers.nips.cc/paper/5022-stochastic-ratio-matching-of-rbms-for-sparse-high-dimensional-inputs.pdf)**Yann Dauphin, Yoshua Bengio*14 citations*
50. **[An Approximate, Efficient LP Solver for LP Rounding ↗](http://pages.cs.wisc.edu/~srikris/papers/lp/camera-ready-full.pdf)**Srikrishna Sridhar, Stephen J. Wright, Christopher Ré et al.*12 citations*
51. **[Pass-efficient unsupervised feature selection ↗](https://papers.nips.cc/paper/4933-pass-efficient-unsupervised-feature-selection.pdf)**Crystal Maung, Haim Schweitzer*12 citations*
52. **[Efficient supervised sparse analysis and synthesis operators ↗](http://papers.nips.cc/paper/5002-supervised-sparse-analysis-and-synthesis-operators.pdf)**Pablo Sprechmann, Roee Litman, Tal Ben Yakar et al.*11 citations*
53. **[Perfect Associative Learning with Spike-Timing-Dependent Plasticity ↗](https://papers.nips.cc/paper/5054-perfect-associative-learning-with-spike-timing-dependent-plasticity.pdf)**Christian Albers, Maren Westkott, Klaus Richard Pawelzik*10 citations*
54. **[Robust Image Denoising with Multi-Column Deep Neural Networks ↗](http://papers.nips.cc/paper/5030-adaptive-multi-column-deep-neural-networks-with-application-to-robust-image-denoising.pdf)**Forest Agostinelli, Michael R. Anderson, Honglak Lee*10 citations*
55. **[Symbolic Opportunistic Policy Iteration for Factored-Action MDPs ↗](https://papers.nips.cc/paper/5143-symbolic-opportunistic-policy-iteration-for-factored-action-mdps.pdf)**Aswin Raghavan, Roni Khardon, Alan Fern et al.*10 citations*
56. **[On model selection consistency of penalized M-estimators: a geometric theory ↗](https://papers.nips.cc/paper/2013/file/0266e33d3f546cb5436a10798e657d97-Paper.pdf)**Jason D. Lee, Yuekai Sun, Jonathan Taylor*9 citations*
57. **[Conditional Random Fields via Univariate Exponential Families ↗](https://papers.nips.cc/paper/5154-conditional-random-fields-via-univariate-exponential-families.pdf)**Eunho Yang, Pradeep Ravikumar, Genevera I. Allen et al.*8 citations*
58. **[Mapping paradigm ontologies to and from the brain ↗](https://papers.nips.cc/paper/2013/file/e97ee2054defb209c35fe4dc94599061-Paper.pdf)**Yannick Schwartz, Bertrand Thirion, Gael P. Varoquaux*8 citations*
59. **[On the Expressive Power of Restricted Boltzmann Machines. ↗](https://papers.nips.cc/paper/5020-on-the-representational-efficiency-of-restricted-boltzmann-machines.pdf)**James Martens, Arkadev Chattopadhyay, Toniann Pitassi et al.*8 citations*
60. **[What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach ↗](https://papers.nips.cc/paper/5195-what-are-the-invariant-occlusive-components-of-image-patches-a-probabilistic-generative-approach.pdf)**Zhenwen Dai, Georgios Exarchakis, Jörg Lücke*7 citations*
61. **[Design and Learning of Output Representations for Speech Recognition ↗](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/nips2013_WS_OutputRepresentations.pdf)**Li Deng*5 citations*
62. **[Reciprocally Coupled Local Estimators Implement Bayesian Information Integration Distributively ↗](http://papers.nips.cc/paper/5055-reciprocally-coupled-local-estimators-implement-bayesian-information-integration-distributively.pdf)**Wenhao Zhang, Si Wu*5 citations*
63. **[Optimal Neural Population Codes for High-dimensional Stimulus Variables ↗](https://papers.nips.cc/paper/4994-optimal-neural-population-codes-for-high-dimensional-stimulus-variables.pdf)**Zhuo Wang, Alan A. Stocker, Daniel Lee*4 citations*
64. **[Towards entertaining and efficient educational games ↗](http://laszlojeni.com/pub/bibtexbrowser2.php?key=Lorincz13DDE&bib=jeni_publications.bib)**András Lörincz, Gyöngyvér Molnár, László A. Jeni et al.*3 citations*
65. **[Optimal integration of visual speed across different spatiotemporal frequency channels ↗](https://papers.nips.cc/paper/5203-optimal-integration-of-visual-speed-across-different-spatiotemporal-frequency-channels.pdf)**Matjaž Jogan, Alan A. Stocker*2 citations*
66. **[Robust Sparse Principal Component Regression under the High Dimensional Elliptical Model ↗](https://papers.nips.cc/paper/2013/file/9908279ebbf1f9b250ba689db6a0222b-Paper.pdf)**Fang Han, Han Liu*2 citations*
67. **[Sparse Inverse Covariance Estimation with Calibration ↗](https://papers.nips.cc/paper/5173-sparse-inverse-covariance-estimation-with-calibration.pdf)**Tuo Zhao, Han Liu*2 citations*
68. **[Nonparametric Reduced Rank Regression ↗](https://mediatum.ub.tum.de/670565?show_id=1548477)**Foygel, R. F. Horrell, Drton et al.*1 citation*
69. **[What do row and column marginals reveal about your dataset ↗](http://cs-people.bu.edu/evimaria/papers/nips2013.pdf)**Behzad Golshan, John W. Byers, Evimaria Terzi*1 citation*
70. **[26th International Conference on Neural Information Processing Systems (NIPS 2013), Lake Tahoe, 5-8 December, 2013 ↗](https://research.aalto.fi/en/publications/learning-chordal-markov-networks-by-constraint-satisfaction(ed49031e-f69f-4929-a7bd-c07453f56076)/export.html)**Jukka Corander, Tomi Janhunen, Jussi Rintanen et al.
71. **[Causal contributions of parietal cortex to perceptual selection and spatial binding ↗](https://pure.mpg.de/pubman/faces/ViewItemOverviewPage.jsp?itemId=item_2589478)**Natalia Zaretskaya
72. **[Context-sensitive active sensing in humans ↗](https://cseweb.ucsd.edu/~sahmad/resources/Files/Ahmad-et-al.---2013---Context-Sensitive-Active-Sensing-in-Humans.pdf)**Sheeraz Ahmad, He Huang, Angela J. Yu
73. **[Sparse precision matrix estimation with calibration ↗](https://www.scholars.northwestern.edu/en/publications/sparse-precision-matrix-estimation-with-calibration)**Tuo Zhao, Han Liu
74. **[The Primate Insular Cortex: A neuroanatomical insight intointeroception, emotion and self-awareness ↗](https://pure.mpg.de/pubman/faces/ViewItemOverviewPage.jsp?itemId=item_2589480)**HC Evrard
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