79 citations · 370 across the 33 of their papers we have counts for
4 papers · 1 filter
Visual Evaluation of Generative Adversarial Networks for Time Series Data
Hiba Arnout, Johannes Kehrer, Johanna Bronner +1
A crucial factor to trust Machine Learning (ML) algorithm decisions is a good representation of its application field by the training dataset. This is particularly true when parts…
Lifelong Neural Topic Learning in Contextualized Autoregressive Topic Models of Language via Informative Transfers
Yatin Chaudhary, Pankaj Gupta, Thomas Runkler
Topic models such as LDA, DocNADE, iDocNADEe have been popular in document analysis. However, the traditional topic models have several limitations including: (1) Bag-of-words (BoW…
Neural Architectures for Fine-Grained Propaganda Detection in News
Pankaj Gupta, Khushbu Saxena, Usama Yaseen +2
This paper describes our system (MIC-CIS) details and results of participation in the fine-grained propaganda detection shared task 2019. To address the tasks of sentence (SLC) and…
Interpretable Dynamics Models for Data-Efficient Reinforcement Learning
Markus Kaiser, Clemens Otte, Thomas Runkler +1
In this paper, we present a Bayesian view on model-based reinforcement learning. We use expert knowledge to impose structure on the transition model and present an efficient learni…