research
∙
05/16/2022
Gradient-based Counterfactual Explanations using Tractable Probabilistic Models
Counterfactual examples are an appealing class of post-hoc explanations ...
share
research
∙
02/01/2022
Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement
A key assumption of most statistical machine learning methods is that th...
research
∙
05/22/2019
Neural-Symbolic Argumentation Mining: an Argument in Favour of Deep Learning and Reasoning
Deep learning is bringing remarkable contributions to the field of argum...
research
∙
05/21/2019