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Showing below up to 50 results in range #251 to #300.
- inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method
- infoboxtest
- is Multinomial PCA Multi-faceted Clustering or Dimensionality Reduction
- joint training of a convolutional network and a graphical model for human pose estimation
- kernel Dimension Reduction in Regression
- kernel Spectral Clustering for Community Detection in Complex Networks
- kernelized Locality-Sensitive Hashing
- kernelized Sorting
- large-Scale Supervised Sparse Principal Component Analysis
- learn what not to learn
- learning2reasoning
- learning Convolutional Feature Hierarchies for Visual Recognition
- learning Fast Approximations of Sparse Coding
- learning Hierarchical Features for Scene Labeling
- learning Long-Range Vision for Autonomous Off-Road Driving
- learning Phrase Representations
- learning Spectral Clustering, With Application To Speech Separation
- link to my paper
- mULTIPLE OBJECT RECOGNITION WITH VISUAL ATTENTION
- mark Your Contribution here
- mark your contribution here
- markov Random Fields for Super-Resolution
- matrix Completion with Noise
- maximum-Margin Matrix Factorization
- maximum Variance Unfolding (June 2 2009)
- maximum likelihood estimation of intrinsic dimension
- meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting
- measuring Statistical Dependence with Hilbert-Schmidt Norm
- measuring and testing dependence by correlation of distances
- measuring statistical dependence with Hilbert-Schmidt norms
- memory Networks
- metric and Kernel Learning Using a Linear Transformation
- monte Carlo methods
- multi-Task Feature Learning
- natural language processing (almost) from scratch.
- neighbourhood Components Analysis
- neural Machine Translation: Jointly Learning to Align and Translate
- neural Turing Machines
- nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization
- nonparametric Latent Feature Models for Link Prediction
- on the Number of Linear Regions of Deep Neural Networks
- on the difficulty of training recurrent neural networks
- on using very large target vocabulary for neural machine translation
- orthogonal gradient descent for continual learning
- overfeat: integrated recognition, localization and detection using convolutional networks
- paper 13
- parametric Local Metric Learning for Nearest Neighbor Classification
- parsing natural scenes and natural language with recursive neural networks
- policy optimization with demonstrations
- positive Semidefinite Metric Learning Using Boosting-like Algorithms