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Embedding Learning

3,753 papers

Papers per year

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Papers

Matrix Completion has No Spurious Local Minimum NIPS 2016
Preference Completion from Partial Rankings NIPS 2016
Matching Networks for One Shot Learning NIPS 2016
Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images NIPS 2016
Optimizing affinity-based binary hashing using auxiliary coordinates NIPS 2016
Data driven estimation of Laplace-Beltrami operator NIPS 2016
Learning Kernels with Random Features NIPS 2016
Improving Distributed Word Representation and Topic Model by Word-Topic Mixture Model ACML 2016
Fast Collaborative Filtering from Implicit Feedback with Provable Guarantees ACML 2016
Learning Distance Metrics for Multi-Label Classification ACML 2016
Collaborative Recurrent Neural Networks for Dynamic Recommender Systems ACML 2016
Geometry Aware Mappings for High Dimensional Sparse Factors AISTATS 2016
Sketching, Embedding and Dimensionality Reduction in Information Theoretic Spaces AISTATS 2016
Tight Variational Bounds via Random Projections and I-Projections AISTATS 2016
Scalable and Sound Low-Rank Tensor Learning AISTATS 2016
Non-negative Matrix Factorization for Discrete Data with Hierarchical Side-Information AISTATS 2016
Topic-Based Embeddings for Learning from Large Knowledge Graphs AISTATS 2016
Multiresolution Matrix Compression AISTATS 2016
Integrating Topic Modeling with Word Embeddings by Mixtures of vMFs COLING 2016
Label Embedding for Zero-shot Fine-grained Named Entity Typing COLING 2016
GAKE: Graph Aware Knowledge Embedding COLING 2016
Automatic Labelling of Topics with Neural Embeddings COLING 2016
Semantic Annotation Aggregation with Conditional Crowdsourcing Models and Word Embeddings COLING 2016
A Distribution-based Model to Learn Bilingual Word Embeddings COLING 2016
Predicting human similarity judgments with distributional models: The value of word associations. COLING 2016