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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.

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 ↗Pierre Baldi, Peter Sadowski407 citations
  2. Training and Analysing Deep Recurrent Neural Networks ↗Michiel Hermans, Benjamin Schrauwen383 citations
  3. Adaptive dropout for training deep neural networks ↗Jimmy Lei Ba, Brendan J. Frey256 citations
  4. Mid-level Visual Element Discovery as Discriminative Mode Seeking ↗Carl Doersch, Abhinav Gupta, Alexei A. Efros232 citations
  5. BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables ↗Cho‐Jui Hsieh, Mátyás A. Sustik, Inderjit S. Dhillon et al.151 citations
  6. Deep Fisher Networks for Large-Scale Image Classification ↗Karen Simonyan, Andrea Vedaldi, Andrew Zisserman142 citations
  7. Compete to Compute ↗Rupesh K. Srivastava, Jonathan Masci, Sohrob Kazerounian et al.121 citations
  8. Multi-Prediction Deep Boltzmann Machines ↗Ian Goodfellow, Mehdi Mirza, Aaron C. Courville et al.108 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 ↗Pierre Baldi, Peter Sadowski407 citations
  2. Training and Analysing Deep Recurrent Neural Networks ↗Michiel Hermans, Benjamin Schrauwen383 citations
  3. Adaptive dropout for training deep neural networks ↗Jimmy Lei Ba, Brendan J. Frey256 citations
  4. Mid-level Visual Element Discovery as Discriminative Mode Seeking ↗Carl Doersch, Abhinav Gupta, Alexei A. Efros232 citations
  5. BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables ↗Cho‐Jui Hsieh, Mátyás A. Sustik, Inderjit S. Dhillon et al.151 citations
  6. Deep Fisher Networks for Large-Scale Image Classification ↗Karen Simonyan, Andrea Vedaldi, Andrew Zisserman142 citations
  7. Compete to Compute ↗Rupesh K. Srivastava, Jonathan Masci, Sohrob Kazerounian et al.121 citations
  8. Multi-Prediction Deep Boltzmann Machines ↗Ian Goodfellow, Mehdi Mirza, Aaron C. Courville et al.108 citations
  9. Parallel Sampling of DP Mixture Models using Sub-Cluster Splits ↗Jason S. Chang, John Sheridan Fisher72 citations
  10. Learning from Limited Demonstrations ↗Beomjoon Kim, Amir massoud Farahmand, Joëlle Pineau et al.66 citations
  11. Manifold-based Similarity Adaptation for Label Propagation ↗Masayuki Karasuyama, Hiroshi Mamitsuka52 citations
  12. Probabilistic Principal Geodesic Analysis ↗Miaomiao Zhang, P. Thomas Fletcher52 citations
  13. On Poisson Graphical Models ↗Eunho Yang, Pradeep Ravikumar, Genevera I. Allen et al.47 citations
  14. A memory frontier for complex synapses ↗Subhaneil Lahiri, Surya Ganguli43 citations
  15. Estimating LASSO Risk and Noise Level ↗Mohsen Bayati, Murat A. Erdogdu, Andrea Montanari A42 citations
  16. Supervised Sparse Analysis and Synthesis Operators ↗Pablo Sprechmann, Roee Litman, Tal Ben Yakar et al.41 citations
  17. Approximate Inference in Continuous Determinantal Processes ↗Raja Hafiz Affandi, Emily B. Fox, Ben Taskar37 citations

See all 74 papers in NeurIPS 2013 — accepted papers →

 Papers with our summary in our library (1)

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

 Top topics

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

Reasoning (1)Knowledge graphs & ontologies (1)

 Fields

Computer Science (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.

works and citations from OpenAlex and our library.

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