---
title: "NeurIPS 2013 — accepted papers — Elamur Research"
description: "NeurIPS 2013 — accepted papers: 1 paper in the Elamur Research library, with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/neural-information-processing-systems/2013/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/neural-information-processing-systems/2013/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [NeurIPS](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/) / 2013

# NeurIPS 2013 — accepted papers

NeurIPS 2013 is the 2013 edition of the Conference on Neural Information Processing Systems (NeurIPS). OpenAlex lists 74 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.

[**74** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2013/#works) · [**1,798** citations of these works](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2013/#works)

## Most cited papers

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

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*

## All accepted papers (74)

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

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*

[See all 74 papers in NeurIPS 2013 — accepted papers →](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2013/papers/)

## Papers with our summary in our library (1)

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

1. **[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 · 1,798 citations*

## Top topics

Topics of its works in our library, with the number of works on each.

[Reasoning (1)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Knowledge graphs & ontologies (1)](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/)

## Fields

[Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Top authors

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

[🧑‍🔬**Andrew Y. Ng**1 work here · 1,798 citations](https://md.research.elamur.ai/free/en/authors/andrew-y-ng/) · [🧑‍🔬**Christopher D. Manning**1 work here · 1,798 citations](https://md.research.elamur.ai/free/en/authors/christopher-d-manning/) · [🧑‍🔬**Danqi Chen**1 work here · 1,798 citations](https://md.research.elamur.ai/free/en/authors/danqi-chen/) · [🧑‍🔬**Richard Socher**1 work here · 1,798 citations](https://md.research.elamur.ai/free/en/authors/richard-socher/)

## Top institutions

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

[🎓**Stanford University** Stanford · United States 1 work here](https://md.research.elamur.ai/free/en/universities/stanford-university/)

works and citations from OpenAlex and our library.

- [← previous NeurIPS 2009](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2009/)
- [next → NeurIPS 2016](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2016/)
- [↑ back to NeurIPS](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)