39 citations · 154 across the 26 of their papers we have counts for
15 papers · 1 filter
Open Set Domain Adaptation by Extreme Value Theory
Yiming Xu, Diego Klabjan
Common domain adaptation techniques assume that the source domain and the target domain share an identical label space, which is problematic since when target samples are unlabeled…
Keyword-based Topic Modeling and Keyword Selection
Xingyu Wang, Lida Zhang, Diego Klabjan
Certain type of documents such as tweets are collected by specifying a set of keywords. As topics of interest change with time it is beneficial to adjust keywords dynamically. The…
Unified recurrent neural network for many feature types
Alexander Stec, Diego Klabjan, Jean Utke
There are time series that are amenable to recurrent neural network (RNN) solutions when treated as sequences, but some series, e.g. asynchronous time series, provide a richer vari…
Nested multi-instance classification
Alexander Stec, Diego Klabjan, Jean Utke
There are classification tasks that take as inputs groups of images rather than single images. In order to address such situations, we introduce a nested multi-instance deep networ…
Forecasting Crime with Deep Learning
Alexander Stec, Diego Klabjan
The objective of this work is to take advantage of deep neural networks in order to make next day crime count predictions in a fine-grain city partition. We make predictions using…
Bayesian active learning for choice models with deep Gaussian processes
Jie Yang, Diego Klabjan
In this paper, we propose an active learning algorithm and models which can gradually learn individual's preference through pairwise comparisons. The active learning scheme aims at…