← Authors

Rie Johnson

9 papers · 2007–2023 · 5 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (5) πŸƒ Academic Marathon (16) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (24) πŸ† Keyword Champion (2) πŸ“ˆ Trend Setter

Conferences

ICML (3) NIPS (3) ACL (1) JMLR (1) NAACL (1)

Top co-authors

Tong Zhang (9)

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