Hidekazu Oiwa

According to our database1, Hidekazu Oiwa authored at least 13 papers between 2011 and 2018.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2018
Scalable Semantic Querying of Text.
Proc. VLDB Endow., 2018

Mining Words in the Minds of Second Language Learners for Learner-specific Word Difficulty.
J. Inf. Process., 2018

2017
A Lightweight Front-end Tool for Interactive Entity Population.
CoRR, 2017

Knowledge Transfer for Out-of-Knowledge-Base Entities : A Graph Neural Network Approach.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2014
Feature-aware regularization for sparse online learning.
Sci. China Inf. Sci., 2014

Robust Distributed Training of Linear Classifiers Based on Divergence Minimization Principle.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Partition-wise Linear Models.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Formalizing Word Sampling for Vocabulary Prediction as Graph-based Active Learning.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Common Space Embedding of Primal-Dual Relation Semantic Spaces.
Proceedings of the COLING 2014, 2014

Online and Stochastic Learning with a Human Cognitive Bias.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Understanding seed selection in bootstrapping.
Proceedings of TextGraphs@EMNLP 2013: the 8th Workshop on Graph-based Methods for Natural Language Processing, 2013

2012
Healing Truncation Bias: Self-Weighted Truncation Framework for Dual Averaging.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011
Frequency-Aware Truncated Methods for Sparse Online Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011


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