Rie Johnson
9 papers · 2007–2023 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (5) π Academic Marathon (16)
π
Cross-Pollinator
(13)
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Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(24)
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Keyword Champion
(2)
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Trend Setter
Conferences
ICML (3)
NIPS (3)
ACL (1)
JMLR (1)
NAACL (1)
Top co-authors
Keywords
text categorization
(3)
semi-supervised learning
(3)
convolutional neural network
(3)
sentiment classification
(2)
region embedding
(2)
text classification
(2)
stochastic gradient descent
(2)
neural network training
(2)
functional gradient
(2)
gradient descent
(2)
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)
long short-term memory
(1)
Papers
Inconsistency, Instability, and Generalization Gap of Deep Neural Network Training
NIPS 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
NIPS 2015
Accelerating Stochastic Gradient Descent using Predictive Variance Reduction
NIPS 2013
On the Effectiveness of Laplacian Normalization for Graph Semi-supervised Learning
JMLR 2007