ijcai 2020 论文列表Proceedings of the Workshop on Artificial Intelligence Safety 2020 co-located with the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020), Yokohama, Japan, January, 2021. |
Bayesian Model for Trustworthiness Analysis of Deep Learning Classifiers.
Ethically Compliant Planning in Moral Autonomous Systems.
Extracting Money from Causal Decision Theorists.
Towards Safe and Reliable Robot Task Planning.
Robustness as Inherent Property of Datapoints.
Increasing the Trustworthiness of Deep Neural Networks via Accuracy Monitoring.
A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications.
DeepSmartFuzzer: Reward Guided Test Generation For Deep Learning.
Is Uncertainty Quantification in Deep Learning Sufficient for Out-of-Distribution Detection?
Aligning with Heterogenous Preferences for Kidney Exchange.
Safety Augmentation in Decision Trees.
Choice Set Misspecification in Reward Inference.
Safety of Artificial Intelligence: A Collaborative Model.
Evolving Robust Neural Architectures to Defend from Adversarial Attacks.
Error-Silenced Quantization: Bridging Robustness and Compactness.
Understanding the One Pixel Attack: Propagation Maps and Locality Analysis.