Luke Vilnis

According to our database1, Luke Vilnis authored at least 22 papers between 2013 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Embedded-State Latent Conditional Random Fields for Sequence Labeling.
CoRR, 2018

Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking.
CoRR, 2018

Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures.
CoRR, 2018

Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Embedded-State Latent Conditional Random Fields for Sequence Labeling.
Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning.
CoRR, 2017

Finer Grained Entity Typing with TypeNet.
CoRR, 2017

Unsupervised Hypernym Detection by Distributional Inclusion Vector Embedding.
CoRR, 2017

Low-Rank Hidden State Embeddings for Viterbi Sequence Labeling.
CoRR, 2017

Improved Representation Learning for Predicting Commonsense Ontologies.
CoRR, 2017

2016
Generating Sentences from a Continuous Space.
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016

2015
Bethe Projections for Non-Local Inference.
CoRR, 2015

Learning Dynamic Feature Selection for Fast Sequential Prediction.
CoRR, 2015

Adding Gradient Noise Improves Learning for Very Deep Networks.
CoRR, 2015

Generating Sentences from a Continuous Space.
CoRR, 2015

Bethe Projections for Non-Local Inference.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Learning Dynamic Feature Selection for Fast Sequential Prediction.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Word Representations via Gaussian Embedding.
CoRR, 2014

Training for Fast Sequential Prediction Using Dynamic Feature Selection.
CoRR, 2014

2013
Dynamic Knowledge-Base Alignment for Coreference Resolution.
Proceedings of the Seventeenth Conference on Computational Natural Language Learning, 2013


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