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Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
2283
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Papers

Rivalry of Two Families of Algorithms for Memory-Restricted Streaming PCA AISTATS 2016
Learning Structured Low-Rank Representation via Matrix Factorization AISTATS 2016
Low-Rank and Sparse Structure Pursuit via Alternating Minimization AISTATS 2016
Fast Dictionary Learning with a Smoothed Wasserstein Loss AISTATS 2016
Stochastic Variational Inference for the HDP-HMM AISTATS 2016
Stochastic Neural Networks with Monotonic Activation Functions AISTATS 2016
Scalable geometric density estimation AISTATS 2016
How to Learn a Graph from Smooth Signals AISTATS 2016
Exponential Stochastic Cellular Automata for Massively Parallel Inference AISTATS 2016
Globally Sparse Probabilistic PCA AISTATS 2016
Fitting Spectral Decay with the k-Support Norm AISTATS 2016
Bayesian Nonparametric Kernel-Learning AISTATS 2016
Bethe Learning of Graphical Models via MAP Decoding AISTATS 2016
Improper Deep Kernels AISTATS 2016
Non-Gaussian Component Analysis with Log-Density Gradient Estimation AISTATS 2016
Streaming Kernel Principal Component Analysis AISTATS 2016
Back to the Future: Radial Basis Function Networks Revisited AISTATS 2016
Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation AISTATS 2016
Discriminative Structure Learning of Arithmetic Circuits AISTATS 2016
Expanding wordnets to new languages with multilingual sense disambiguation COLING 2016
Deceptive Opinion Spam Detection Using Neural Network COLING 2016
Exploiting Sentence and Context Representations in Deep Neural Models for Spoken Language Understanding COLING 2016
Predictive Incremental Parsing Helps Language Modeling COLING 2016
Attending to Characters in Neural Sequence Labeling Models COLING 2016
Learning to Distill: The Essence Vector Modeling Framework COLING 2016