37 citations · 65 across the 6 of their papers we have counts for
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cs.LG2019
Semi-Supervised Learning for Text Classification by Layer Partitioning
Alexander Hanbo Li, Abhinav Sethy
Most recent neural semi-supervised learning algorithms rely on adding small perturbation to either the input vectors or their representations. These methods have been successful on…
cs.CL2019★ 11 cited
Knowledge Enhanced Attention for Robust Natural Language Inference
Alexander Hanbo Li, Abhinav Sethy
Neural network models have been very successful at achieving high accuracy on natural language inference (NLI) tasks. However, as demonstrated in recent literature, when tested on…
stat.ML2019
Censored Quantile Regression Forests
Alexander Hanbo Li, Jelena Bradic
Random forests are powerful non-parametric regression method but are severely limited in their usage in the presence of randomly censored observations, and naively applied can exhi…