| Long Short-Term Memory | 1997/11/01 | English | 32,363 |
| A Fast Learning Algorithm for Deep Belief Nets | 2006/07/01 | English | 6,903 |
| Backpropagation Applied to Handwritten Zip Code Recognition | 1989/12/01 | English | 4,423 |
| An Information-Maximization Approach to Blind Separation and Blind Deconvolution | 1995/11/01 | English | 4,329 |
| Nonlinear Component Analysis as a Kernel Eigenvalue Problem | 1998/07/01 | English | 3,359 |
| Laplacian Eigenmaps for Dimensionality Reduction and Data Representation | 2003/06/01 | English | 3,347 |
| Bayesian Interpolation | 1992/05/01 | English | 2,354 |
| Learning to Forget: Continual Prediction with LSTM | 2000/10/01 | English | 2,066 |
| Universal Approximation Using Radial-Basis-Function Networks | 1991/06/01 | English | 2,001 |
| Estimating the Support of a High-Dimensional Distribution | 2001/07/01 | English | 1,966 |
| Fast Learning in Networks of Locally-Tuned Processing Units | 1989/06/01 | English | 1,800 |
| Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations | 2002/11/01 | English | 1,699 |
| Training Products of Experts by Minimizing Contrastive Divergence | 2002/08/01 | English | 1,688 |
| Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms | 1998/10/01 | English | 1,603 |
| The NEURON Simulation Environment | 1997/08/01 | English | 1,579 |
| A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures | 2019/07/01 | English | 1,547 |
| Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review | 2017/09/01 | English | 1,532 |
| The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks | 2008/04/01 | English | 1,518 |
| A Learning Algorithm for Continually Running Fully Recurrent Neural Networks | 1989/06/01 | English | 1,512 |
| Neural Networks and the Bias/Variance Dilemma | 1992/01/01 | English | 1,489 |
| Adaptive Mixtures of Local Experts | 1991/02/01 | English | 1,394 |
| A Fast Fixed-Point Algorithm for Independent Component Analysis | 1997/10/01 | English | 1,389 |
| Canonical Correlation Analysis: An Overview with Application to Learning Methods | 2004/12/01 | English | 1,372 |
| New Support Vector Algorithms | 2000/05/01 | English | 1,272 |
| A Practical Bayesian Framework for Backpropagation Networks | 1992/05/01 | English | 1,254 |
| Unsupervised Spike Detection and Sorting with Wavelets and Superparamagnetic Clustering | 2004/08/01 | English | 1,177 |
| Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Subgaussian and Supergaussian Sources | 1999/02/01 | English | 928 |
| Natural Gradient Works Efficiently in Learning | 1998/02/01 | English | 922 |
| Hierarchical Mixtures of Experts and the EM Algorithm | 1994/03/01 | English | 894 |
| Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel | 2003/07/01 | English | 839 |