Rie Johnson

Orcid: 0000-0001-7979-3856

According to our database1, Rie Johnson authored at least 17 papers between 2007 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Inconsistency, Instability, and Generalization Gap of Deep Neural Network Training.
CoRR, 2023

Inconsistency, Instability, and Generalization Gap of Deep Neural Network Training.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021
A Framework of Composite Functional Gradient Methods for Generative Adversarial Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

2020
Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization.
Proceedings of the 37th International Conference on Machine Learning, 2020

2018
Composite Functional Gradient Learning of Generative Adversarial Models.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Deep Pyramid Convolutional Neural Networks for Text Categorization.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Convolutional Neural Networks for Text Categorization: Shallow Word-level vs. Deep Character-level.
CoRR, 2016

Supervised and Semi-Supervised Text Categorization using One-Hot LSTM for Region Embeddings.
CoRR, 2016

Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Semi-Supervised Learning with Multi-View Embedding: Theory and Application with Convolutional Neural Networks.
CoRR, 2015

Semi-supervised Convolutional Neural Networks for Text Categorization via Region Embedding.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Effective Use of Word Order for Text Categorization with Convolutional Neural Networks.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

2014
Learning Nonlinear Functions Using Regularized Greedy Forest.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

2013
Accelerating Stochastic Gradient Descent using Predictive Variance Reduction.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2008
Graph-Based Semi-Supervised Learning and Spectral Kernel Design.
IEEE Trans. Inf. Theory, 2008

Word sense disambiguation across two domains: Biomedical literature and clinical notes.
J. Biomed. Informatics, 2008

2007
On the Effectiveness of Laplacian Normalization for Graph Semi-supervised Learning.
J. Mach. Learn. Res., 2007


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