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
- Understanding Dropout ↗Pierre Baldi, Peter Sadowski407 citations
- Learning word embeddings efficiently with noise-contrastive estimation ↗Andriy Mnih, Koray Kavukcuoglu404 citations
- Training and Analysing Deep Recurrent Neural Networks ↗Michiel Hermans, Benjamin Schrauwen383 citations
- Adaptive dropout for training deep neural networks ↗Jimmy Lei Ba, Brendan J. Frey256 citations
- Mid-level Visual Element Discovery as Discriminative Mode Seeking ↗Carl Doersch, Abhinav Gupta, Alexei A. Efros232 citations
- BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables ↗Cho‐Jui Hsieh, Mátyás A. Sustik, Inderjit S. Dhillon et al.151 citations
- Deep Fisher Networks for Large-Scale Image Classification ↗Karen Simonyan, Andrea Vedaldi, Andrew Zisserman142 citations
- Compete to Compute ↗Rupesh K. Srivastava, Jonathan Masci, Sohrob Kazerounian et al.121 citations
- Multi-Prediction Deep Boltzmann Machines ↗Ian Goodfellow, Mehdi Mirza, Aaron C. Courville et al.108 citations
- Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA ↗Vincent Q. Vu, Juhee Cho, Jing Lei et al.101 citations
All accepted papers (74)
- Understanding Dropout ↗Pierre Baldi, Peter Sadowski407 citations
- Learning word embeddings efficiently with noise-contrastive estimation ↗Andriy Mnih, Koray Kavukcuoglu404 citations
- Training and Analysing Deep Recurrent Neural Networks ↗Michiel Hermans, Benjamin Schrauwen383 citations
- Adaptive dropout for training deep neural networks ↗Jimmy Lei Ba, Brendan J. Frey256 citations
- Mid-level Visual Element Discovery as Discriminative Mode Seeking ↗Carl Doersch, Abhinav Gupta, Alexei A. Efros232 citations
- BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables ↗Cho‐Jui Hsieh, Mátyás A. Sustik, Inderjit S. Dhillon et al.151 citations
- Deep Fisher Networks for Large-Scale Image Classification ↗Karen Simonyan, Andrea Vedaldi, Andrew Zisserman142 citations
- Compete to Compute ↗Rupesh K. Srivastava, Jonathan Masci, Sohrob Kazerounian et al.121 citations
- Multi-Prediction Deep Boltzmann Machines ↗Ian Goodfellow, Mehdi Mirza, Aaron C. Courville et al.108 citations
- Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA ↗Vincent Q. Vu, Juhee Cho, Jing Lei et al.101 citations
- Estimating the Unseen: Improved Estimators for Entropy and other Properties ↗Paul Valiant, Gregory Valiant73 citations
- Parallel Sampling of DP Mixture Models using Sub-Cluster Splits ↗Jason S. Chang, John Sheridan Fisher72 citations
- (Nearly) Optimal Algorithms for Private Online Learning in Full-information and Bandit Settings ↗Abhradeep Thakurta, Adam Smith68 citations
- Eluder Dimension and the Sample Complexity of Optimistic Exploration ↗Dan Russo, Benjamin Van Roy66 citations
- Learning from Limited Demonstrations ↗Beomjoon Kim, Amir massoud Farahmand, Joëlle Pineau et al.66 citations
- Manifold-based Similarity Adaptation for Label Propagation ↗Masayuki Karasuyama, Hiroshi Mamitsuka52 citations
- Probabilistic Principal Geodesic Analysis ↗Miaomiao Zhang, P. Thomas Fletcher52 citations
- Better Approximation and Faster Algorithm Using the Proximal Average ↗Yaoliang Yu49 citations
- Fast Determinantal Point Process Sampling with Application to Clustering ↗Byungkon Kang47 citations
- On Poisson Graphical Models ↗Eunho Yang, Pradeep Ravikumar, Genevera I. Allen et al.47 citations
- A memory frontier for complex synapses ↗Subhaneil Lahiri, Surya Ganguli43 citations
- Estimating LASSO Risk and Noise Level ↗Mohsen Bayati, Murat A. Erdogdu, Andrea Montanari A42 citations
- Supervised Sparse Analysis and Synthesis Operators ↗Pablo Sprechmann, Roee Litman, Tal Ben Yakar et al.41 citations
- 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)
- Reasoning With Neural Tensor Networks for Knowledge Base CompletionConference on Neural Information Processing Systems (NeurIPS)Richard Socher, Danqi Chen, Christopher D. Manning, et al.2013 · 1,798 citations
Top topics
Reasoning (1)Knowledge graphs & ontologies (1)
Fields
Top authors
🧑🔬Andrew Y. Ng1 work here · 1,798 citations🧑🔬Christopher D. Manning1 work here · 1,798 citations🧑🔬Danqi Chen1 work here · 1,798 citations🧑🔬Richard Socher1 work here · 1,798 citations
Top institutions
This page in Markdown → https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2013/