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Representation Learning

18863 directly classified papers

Papers per year

Papers

Joint Learning of Local and Global Features for Entity Linking via Neural Networks COLING 2016
Exploiting Sentence and Context Representations in Deep Neural Models for Spoken Language Understanding COLING 2016
Interactive Attention for Neural Machine Translation COLING 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
Multi-modal Auto-Encoders as Joint Estimators for Robotics Scene Understanding RSS 2016
Expanding wordnets to new languages with multilingual sense disambiguation COLING 2016
Discriminative Structure Learning of Arithmetic Circuits AISTATS 2016
Deep Kernel Learning AISTATS 2016
pke: an open source python-based keyphrase extraction toolkit COLING 2016
Online Learning with Low Rank Experts COLT 2016
Word Embeddings, Analogies, and Machine Learning: Beyond king - man + woman = queen COLING 2016
Practical Kernel-Based Reinforcement Learning JMLR 2016
Regularized Policy Iteration with Nonparametric Function Spaces JMLR 2016
Sentence Similarity Learning by Lexical Decomposition and Composition COLING 2016
Improved Word Embeddings with Implicit Structure Information COLING 2016
Multiscale Adaptive Representation of Signals: I. The Basic Framework JMLR 2016
The Benefit of Multitask Representation Learning JMLR 2016
Hierarchical Permutation Complexity for Word Order Evaluation COLING 2016
Dynamic Sum Product Networks for Tractable Inference on Sequence Data PGM 2016
Structure Learning in Bayesian Networks of a Moderate Size by Efficient Sampling JMLR 2016
Sparse PCA via Covariance Thresholding JMLR 2016
Operator-valued Kernels for Learning from Functional Response Data JMLR 2016
Noisy Sparse Subspace Clustering JMLR 2016
Basis Learning as an Algorithmic Primitive COLT 2016