Luke Vilnis - Concepedia

Author

Luke Vilnis

University of Massachusetts Amherst

Also Known As

Goyal, Siddharth, Luke Vilnis, Vilnis, Luke

Publications

Citations

H-Index

Concepts

All Affiliations

University of Massachusetts Amherst

About

Luke Vilnis is an author at University of Massachusetts Amherst specializing in engineering, natural language processing, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	9	9	1.1K
2	Language Studies	5	5	413
3	Computer Science	4	4	702
4	Social Sciences	2	2	415
5	Computer Engineering	1	1	265

Luke Vilnis

Publications

1.6K

Citations

H-Index

Page 1

	Year	Citations
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningModel-based ReasoningIntelligent Systems	2017	356
Generating Sentences from a Continuous Space Samuel R. Bowman, Luke Vilnis, Oriol Vinyals,	2016	341
Adding Gradient Noise Improves Learning for Very Deep Networks Arvind Neelakantan, Luke Vilnis, Quoc V. Le, arXiv (Cornell University) Llm Fine-tuningConvolutional Neural NetworkEngineeringMachine LearningRecurrent Neural Network	2015	265
Word Representations via Gaussian Embedding Luke Vilnis, Andrew McCallum arXiv (Cornell University) EngineeringMachine LearningCross-lingual RepresentationCorpus LinguisticsText Mining	2015	188
Word Representations via Gaussian Embedding Luke Vilnis, Andrew McCallum arXiv (Cornell University) EngineeringMachine LearningCross-lingual RepresentationCorpus LinguisticsText Mining	2014	156
Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking Shikhar Murty, Patrick Verga, Luke Vilnis,	2018	95
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning. Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, arXiv (Cornell University) Artificial IntelligenceEngineeringKnowledge-based ReasoningSocial SciencesLanguage Processing	2017	59
Smoothing the Geometry of Probabilistic Box Embeddings Xiang Li, Luke Vilnis, Dongxu Zhang, International Conference on Learning Representations Manifold LearningManifold ModelingProbability TheoryStochastic GeometryComputational Geometry	2018	51
Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection Haw-Shiuan Chang, Ziyun Wang, Luke Vilnis, Applied LinguisticsNatural Language ProcessingEngineeringHypernymy DetectionHuman Language Technologies	2018	41
Improving Local Identifiability in Probabilistic Box Embeddings Shib Sankar Dasgupta, Michael Boratko, Dongxu Zhang, arXiv (Cornell University) Geometric LearningEngineeringMachine LearningBox ParametersData Science	2020	22

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