Rie Johnson - RankMe

20 papers A* 4Journal 12Unranked 4

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	Inconsistency, Instability, and Generalization Gap of Deep Neural Network Training. NeurIPS Rie Johnson, Tong Zhang
2023	J	`jnl`	Inconsistency, Instability, and Generalization Gap of Deep Neural Network Training. CoRR Rie Johnson, Tong Zhang
2021	J	`jnl`	A Framework of Composite Functional Gradient Methods for Generative Adversarial Models. IEEE Trans. Pattern Anal. Mach. Intell. Rie Johnson, Tong Zhang
2020	A*	`conf`	Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization. ICML Rie Johnson, Tong Zhang
2020	J	`jnl`	Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization. CoRR Rie Johnson, Tong Zhang
2018	A*	`conf`	Composite Functional Gradient Learning of Generative Adversarial Models. ICML Rie Johnson, Tong Zhang
2018	J	`jnl`	Composite Functional Gradient Learning of Generative Adversarial Models. CoRR Rie Johnson, Tong Zhang
2017	—	`conf`	Deep Pyramid Convolutional Neural Networks for Text Categorization. ACL (1) Rie Johnson, Tong Zhang
2016	J	`jnl`	Convolutional Neural Networks for Text Categorization: Shallow Word-level vs. Deep Character-level. CoRR Rie Johnson, Tong Zhang
2016	A*	`conf`	Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings. ICML Rie Johnson, Tong Zhang
2016	J	`jnl`	Supervised and Semi-Supervised Text Categorization using One-Hot LSTM for Region Embeddings. CoRR Rie Johnson, Tong Zhang
2015	—	`conf`	Effective Use of Word Order for Text Categorization with Convolutional Neural Networks. HLT-NAACL Rie Johnson, Tong Zhang
2015	J	`jnl`	Semi-Supervised Learning with Multi-View Embedding: Theory and Application with Convolutional Neural Networks. CoRR Rie Johnson, Tong Zhang
2015	—	`conf`	Semi-supervised Convolutional Neural Networks for Text Categorization via Region Embedding. NIPS Rie Johnson, Tong Zhang
2014	J	`jnl`	Effective Use of Word Order for Text Categorization with Convolutional Neural Networks. CoRR Rie Johnson, Tong Zhang
2014	J	`jnl`	Learning Nonlinear Functions Using Regularized Greedy Forest. IEEE Trans. Pattern Anal. Mach. Intell. Rie Johnson, Tong Zhang
2013	—	`conf`	Accelerating Stochastic Gradient Descent using Predictive Variance Reduction. NIPS Rie Johnson, Tong Zhang
2008	J	`jnl`	Graph-Based Semi-Supervised Learning and Spectral Kernel Design. IEEE Trans. Inf. Theory Rie Johnson, Tong Zhang
2008	J	`jnl`	Word sense disambiguation across two domains: Biomedical literature and clinical notes. J. Biomed. Informatics Guergana K. Savova, Anni Coden, Igor L. Sominsky, Rie Johnson, Philip V. Ogren, Piet C. de Groen, Christopher G. Chute
2007	J	`jnl`	On the Effectiveness of Laplacian Normalization for Graph Semi-supervised Learning. J. Mach. Learn. Res. Rie Johnson, Tong Zhang