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Interpretability

7,452 papers

Papers per year

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14
488
1716
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Papers

Stop PropagHate at SemEval-2019 Tasks 5 and 6: Are abusive language classification results reproducible? SEMEVAL 2019
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging UAI 2019
Human-in-the-Loop Interpretability Prior NIPS 2018
Dendritic cortical microcircuits approximate the backpropagation algorithm NIPS 2018
Uncertainty-Aware Attention for Reliable Interpretation and Prediction NIPS 2018
DeepPINK: reproducible feature selection in deep neural networks NIPS 2018
Efficient Formal Safety Analysis of Neural Networks NIPS 2018
Interpreting Neural Network Judgments via Minimal, Stable, and Symbolic Corrections NIPS 2018
Towards Robust Interpretability with Self-Explaining Neural Networks NIPS 2018
Predictive Uncertainty Estimation via Prior Networks NIPS 2018
The Cluster Description Problem - Complexity Results, Formulations and Approximations NIPS 2018
Learning Conditioned Graph Structures for Interpretable Visual Question Answering NIPS 2018
Explaining Deep Learning Models -- A Bayesian Non-parametric Approach NIPS 2018
e-SNLI: Natural Language Inference with Natural Language Explanations NIPS 2018
To Trust Or Not To Trust A Classifier NIPS 2018
Hybrid Knowledge Routed Modules for Large-scale Object Detection NIPS 2018
Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability NIPS 2018
Learning Task Specifications from Demonstrations NIPS 2018
Learning and Testing Causal Models with Interventions NIPS 2018
Distributionally Robust Graphical Models NIPS 2018
Representer Point Selection for Explaining Deep Neural Networks NIPS 2018
Improving Simple Models with Confidence Profiles NIPS 2018
Generalisation of structural knowledge in the hippocampal-entorhinal system NIPS 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks NIPS 2018
Model Agnostic Supervised Local Explanations NIPS 2018