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Embedding Learning

3751 directly classified papers

Papers per year

Papers

Automatic Labelling of Topics with Neural Embeddings COLING 2016
Semantic Annotation Aggregation with Conditional Crowdsourcing Models and Word Embeddings COLING 2016
Multiresolution Matrix Compression AISTATS 2016
Bad Company—Neighborhoods in Neural Embedding Spaces Considered Harmful COLING 2016
Fast Collaborative Filtering from Implicit Feedback with Provable Guarantees ACML 2016
Trace Quotient Meets Sparsity: A Method for Learning Low Dimensional Image Representations CVPR 2016
Improving Distributed Word Representation and Topic Model by Word-Topic Mixture Model ACML 2016
Predicting human similarity judgments with distributional models: The value of word associations. COLING 2016
Fast Training of Triplet-Based Deep Binary Embedding Networks CVPR 2016
Sub-Word Similarity based Search for Embeddings: Inducing Rare-Word Embeddings for Word Similarity Tasks and Language Modelling COLING 2016
Latent Topic Embedding COLING 2016
Distributional Hypernym Generation by Jointly Learning Clusters and Projections COLING 2016
Knowledge-Driven Event Embedding for Stock Prediction COLING 2016
Improving Statistical Machine Translation with Selectional Preferences COLING 2016
Improving Translation Selection with Supersenses COLING 2016
Collaborative Quantization for Cross-Modal Similarity Search CVPR 2016
Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels JMLR 2016
Tight Variational Bounds via Random Projections and I-Projections AISTATS 2016
Data driven estimation of Laplace-Beltrami operator NIPS 2016
Nonparametric Canonical Correlation Analysis ICML 2016
Local Similarity-Aware Deep Feature Embedding NIPS 2016
Subspace Learning with Partial Information JMLR 2016
Distributed Representations for Building Profiles of Users and Items from Text Reviews COLING 2016
A Distribution-based Model to Learn Bilingual Word Embeddings COLING 2016
GAKE: Graph Aware Knowledge Embedding COLING 2016