Rie Johnson
9 papers · 2007–2023 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Full π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (23) π£ Hot Topic Early Bird
π§
Keyword Pioneer
π
Keyword Champion
(2)
π
Renaissance Researcher
(5)
π
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(6)
Deep Learning
(5)
Learning Types
(4)
Optimization & Theory Β· Machine Learning
(4)
Mathematics & Optimization
(3)
Natural Language Processing
(2)
Applications
(2)
Architectures
(2)
Core Methods
(2)
Optimization
(2)
Optimization & Theory Β· Deep Learning
(2)
Techniques
(2)
Computer Vision
(1)
Interdisciplinary
(1)
Generation
(1)
Keywords
semi-supervised learning
(3)
text categorization
(3)
convolutional neural network
(3)
neural network training
(2)
region embedding
(2)
text classification
(2)
gradient descent
(2)
stochastic gradient descent
(2)
functional gradient
(2)
sentiment classification
(2)
deep learning
(1)
minimax optimization
(1)
variance reduction
(1)
strongly convex
(1)
mirror descent
(1)
strongly convex optimization
(1)
gradient descent optimization
(1)
generalization bound
(1)
graph cut
(1)
convergence rate
(1)
Papers
Inconsistency, Instability, and Generalization Gap of Deep Neural Network Training
NeurIPS 2023
Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization
ICML 2020
Composite Functional Gradient Learning of Generative Adversarial Models
ICML 2018
Deep Pyramid Convolutional Neural Networks for Text Categorization
ACL 2017
Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings
ICML 2016
Effective Use of Word Order for Text Categorization with Convolutional Neural Networks
NAACL 2015
Semi-supervised Convolutional Neural Networks for Text Categorization via Region Embedding
NeurIPS 2015
Accelerating Stochastic Gradient Descent using Predictive Variance Reduction
NeurIPS 2013
On the Effectiveness of Laplacian Normalization for Graph Semi-supervised Learning
JMLR 2007