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Explaining Deep Graph Networks with Molecular Counterfactuals
DaniloNumeroso, DavideBacciu....
Published date-11/09/2020
We present a novel approach to tackle explainability of deep graph networks in the context of molecule property prediction tasks, named MEG (Molecular Explanation Generator). We generate informative counterfactual explanations …
Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE
DingZhou, Xue-XinWei....
Published date-11/09/2020
LatentVariableModels
The ability to record activities from hundreds of neurons simultaneously in the brain has placed an increasing demand for developing appropriate statistical techniques to analyze such data. Recently, deep generative …
Chapter Captor: Text Segmentation in Novels
CharutaPethe, AllenKim, StevenSkiena....
Published date-11/09/2020
Books are typically segmented into chapters and sections, representing coherent subnarratives and topics. We investigate the task of predicting chapter boundaries, as a proxy for the general task of segmenting …
Nanopore Base Calling on the Edge
PeterPerešíni, VladimírBoža, BroňaBrejová....
Published date-11/09/2020
SpeechRecognition
We developed a new base caller DeepNano-coral for nanopore sequencing, which is optimized to run on the Coral Edge Tensor Processing Unit, a small USB-attached hardware accelerator. To achieve this …
RMITB at TREC COVID 2020
RodgerBenham, AlistairMoffat, J.ShaneCulpepper....
Published date-11/09/2020
Search engine users rarely express an information need using the same query, and small differences in queries can lead to very different result sets. These user query variations have been …
"What Do You Mean by That?" A Parser-Independent Interactive Approach for Enhancing Text-to-SQL
YuntaoLi, BeiChen, QianLiu....
Published date-11/09/2020
Text-To-Sql
In Natural Language Interfaces to Databases systems, the text-to-SQL technique allows users to query databases by using natural language questions. Though significant progress in this area has been made recently, …