-
Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training
Most recently, there has been significant interest in learning contextua...
12/18/2020 ∙ by Peng Shi, et al. ∙
10
∙
share
read it
-
Decomposed Adversarial Learned Inference
Effective inference for a generative adversarial model remains an import...
04/21/2020 ∙ by Alexander Hanbo Li, et al. ∙
3
∙
share
read it
-
Censored Quantile Regression Forest
Random forests are powerful non-parametric regression method but are sev...
01/08/2020 ∙ by Alexander Hanbo Li, et al. ∙
1
∙
share
read it
-
Semi-Supervised Learning for Text Classification by Layer Partitioning
Most recent neural semi-supervised learning algorithms rely on adding sm...
11/26/2019 ∙ by Alexander Hanbo Li, et al. ∙
0
∙
share
read it
-
Knowledge Enhanced Attention for Robust Natural Language Inference
Neural network models have been very successful at achieving high accura...
08/31/2019 ∙ by Alexander Hanbo Li, et al. ∙
0
∙
share
read it
-
Censored Quantile Regression Forests
Random forests are powerful non-parametric regression method but are sev...
02/08/2019 ∙ by Alexander Hanbo Li, et al. ∙
0
∙
share
read it
-
Boosting in the presence of outliers: adaptive classification with non-convex loss functions
This paper examines the role and efficiency of the non-convex loss funct...
10/05/2015 ∙ by Alexander Hanbo Li, et al. ∙
0
∙
share
read it
