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Representation Learning

18863 directly classified papers

Papers per year

Papers

Efficient and Robust Color Consistency for Community Photo Collections CVPR 2016
Generative Shape Models: Joint Text Recognition and Segmentation with Very Little Training Data NIPS 2016
Bethe Learning of Graphical Models via MAP Decoding AISTATS 2016
Identifiable Phenotyping using Constrained Non-Negative Matrix Factorization MLHC 2016
Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions NIPS 2016
Diagnostic Prediction Using Discomfort Drawings with IBTM MLHC 2016
Transferring Knowledge from Text to Predict Disease Onset MLHC 2016
Deep Learning for Predicting Human Strategic Behavior NIPS 2016
Examples are not enough, learn to criticize! Criticism for Interpretability NIPS 2016
Learning Robust Features using Deep Learning for Automatic Seizure Detection MLHC 2016
Multiplicity of the Acoustic Correlates of the Fortis-Lenis Contrast: Plosives in Aberystwyth English INTERSPEECH 2016
Deep Survival Analysis MLHC 2016
Multi-task Prediction of Disease Onsets from Longitudinal Laboratory Tests MLHC 2016
Learning Sparse Combinatorial Representations via Two-stage Submodular Maximization ICML 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning ICML 2016
Structure Learning of Partitioned Markov Networks ICML 2016
Representation and Learning of Temporal Relations COLING 2016
Distributional Hypernym Generation by Jointly Learning Clusters and Projections COLING 2016
Predicting human similarity judgments with distributional models: The value of word associations. COLING 2016
Direct vs. indirect evaluation of distributional thesauri COLING 2016
Topic-Informed Neural Machine Translation COLING 2016
Automatic Labelling of Topics with Neural Embeddings COLING 2016
Extracting Discriminative Keyphrases with Learned Semantic Hierarchies COLING 2016
Different Contexts Lead to Different Word Embeddings COLING 2016
Learning to Distill: The Essence Vector Modeling Framework COLING 2016