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Interpretability

7318 directly classified papers

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Papers

A Topology Layer for Machine Learning AISTATS 2020
Explaining Groups of Points in Low-Dimensional Representations ICML 2020
Explainable k-Means and k-Medians Clustering ICML 2020
Multidimensional Shape Constraints ICML 2020
Invariant Rationalization ICML 2020
Problems with Shapley-value-based explanations as feature importance measures ICML 2020
Context in Informational Bias Detection COLING 2020
An Investigation of Why Overparameterization Exacerbates Spurious Correlations ICML 2020
Reverse-engineering deep ReLU networks ICML 2020
Robust and Stable Black Box Explanations ICML 2020
Fairwashing explanations with off-manifold detergent ICML 2020
Explainability in Autonomous Pedagogical Agents AAAI 2020
Parsers Know Best: German PP Attachment Revisited COLING 2020
Boosting the Transferability of Adversarial Samples via Attention CVPR 2020
Advisable Learning for Self-Driving Vehicles by Internalizing Observation-to-Action Rules CVPR 2020
StyleRig: Rigging StyleGAN for 3D Control Over Portrait Images CVPR 2020
Explainable Object-Induced Action Decision for Autonomous Vehicles CVPR 2020
Interpretable and Accurate Fine-grained Recognition via Region Grouping CVPR 2020
Detecting Face2Face Facial Reenactment in Videos WACV 2020
Iterative and Adaptive Sampling with Spatial Attention for Black-Box Model Explanations WACV 2020
Linguistically-Informed Transformations (LIT): A Method for Automatically Generating Contrast Sets EMNLP 2020
Constrained Fact Verification for FEVER EMNLP 2020
ICface: Interpretable and Controllable Face Reenactment Using GANs WACV 2020
Generating Interpretable Poverty Maps using Object Detection in Satellite Images IJCAI 2020
DNU: Deep Non-Local Unrolling for Computational Spectral Imaging CVPR 2020