Xiaoting Shao

Orcid: 0000-0001-5516-7949

According to our database1, Xiaoting Shao authored at least 14 papers between 2019 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2022
Explaining and Interactively Debugging Deep Models.
PhD thesis, 2022

Conditional sum-product networks: Modular probabilistic circuits via gate functions.
Int. J. Approx. Reason., 2022

Gradient-based Counterfactual Explanations using Tractable Probabilistic Models.
CoRR, 2022

Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement.
CoRR, 2022

2021
Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Making deep neural networks right for the right scientific reasons by interacting with their explanations.
Nat. Mach. Intell., 2020

Towards Understanding and Arguing with Classifiers: Recent Progress.
Datenbank-Spektrum, 2020

Right for the Wrong Scientific Reasons: Revising Deep Networks by Interacting with their Explanations.
CoRR, 2020

Modelling Multivariate Ranking Functions with Min-Sum Networks.
Proceedings of the Scalable Uncertainty Management - 14th International Conference, 2020

Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures.
Proceedings of the International Conference on Probabilistic Graphical Models, 2020

Independence and D-separation in Abstract Argumentation.
Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning, 2020

2019
Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning.
Frontiers Big Data, 2019

Neural-Symbolic Argumentation Mining: an Argument in Favour of Deep Learning and Reasoning.
CoRR, 2019

Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019


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