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Interpretability

7,452 papers

Papers per year

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Papers

Born-Again Tree Ensembles ICML 2020
Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing ICML 2020
Formalizing Group and Propagated Trust in Multi-Agent Systems IJCAI 2020
Relation-Based Counterfactual Explanations for Bayesian Network Classifiers IJCAI 2020
Action-Guided Attention Mining and Relation Reasoning Network for Human-Object Interaction Detection IJCAI 2020
Implementing Theory of Mind on a Robot Using Dynamic Epistemic Logic IJCAI 2020
Deductive Module Extraction for Expressive Description Logics IJCAI 2020
NeurASP: Embracing Neural Networks into Answer Set Programming IJCAI 2020
Learning Interpretable Representations with Informative Entanglements IJCAI 2020
Explainable Inference on Sequential Data via Memory-Tracking IJCAI 2020
Learning Interpretable Models in the Property Specification Language IJCAI 2020
Human-Driven FOL Explanations of Deep Learning IJCAI 2020
Interpretable Models for Understanding Immersive Simulations IJCAI 2020
Logic Constrained Pointer Networks for Interpretable Textual Similarity IJCAI 2020
Recurrent Dirichlet Belief Networks for interpretable Dynamic Relational Data Modelling IJCAI 2020
Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability IJCAI 2020
DACE: Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization IJCAI 2020
Towards Explainable Conversational Recommendation IJCAI 2020
Evaluating and Aggregating Feature-based Model Explanations IJCAI 2020
Automatic Emergency Diagnosis with Knowledge-Based Tree Decoding IJCAI 2020
Learning Model with Error -- Exposing the Hidden Model of BAYHENN IJCAI 2020
Hierarchical Multi-task Learning for Organization Evaluation of Argumentative Student Essays IJCAI 2020
Transformers as Soft Reasoners over Language IJCAI 2020
Verifiable RNN-Based Policies for POMDPs Under Temporal Logic Constraints IJCAI 2020
Neural Belief Reasoner IJCAI 2020