← Core AI
Artificial Intelligence › Core AI ›

Interpretability

7318 directly classified papers

Papers per year

Papers

A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis EMNLP 2019
Counterfactual Visual Explanations ICML 2019
Nonsense!: Quality Control via Two-Step Reason Selection for Annotating Local Acceptability and Related Attributes in News Editorials IJCNLP 2019
Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded ICCV 2019
Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs NAACL 2019
Dynamic Graph Attention for Referring Expression Comprehension ICCV 2019
Towards Interpretable Object Detection by Unfolding Latent Structures ICCV 2019
U-CAM: Visual Explanation Using Uncertainty Based Class Activation Maps ICCV 2019
Towards Interpretable Face Recognition ICCV 2019
A Structural Probe for Finding Syntax in Word Representations NAACL 2019
Detecting Customer Complaint Escalation with Recurrent Neural Networks and Manually-Engineered Features NAACL 2019
Compositional Generalization for Primitive Substitutions IJCNLP 2019
Disentangled Relational Representations for Explaining and Learning from Demonstration CORL 2019
Multimodal Explanations by Predicting Counterfactuality in Videos CVPR 2019
Improving the Stability of the Knockoff Procedure: Multiple Simultaneous Knockoffs and Entropy Maximization AISTATS 2019
Exploring interpretable LSTM neural networks over multi-variable data ICML 2019
Fooling Network Interpretation in Image Classification ICCV 2019
Sampling-Free Epistemic Uncertainty Estimation Using Approximated Variance Propagation ICCV 2019
Understanding Deep Networks via Extremal Perturbations and Smooth Masks ICCV 2019
Hilbert-Based Generative Defense for Adversarial Examples ICCV 2019
Adaptive Activation Thresholding: Dynamic Routing Type Behavior for Interpretability in Convolutional Neural Networks ICCV 2019
XRAI: Better Attributions Through Regions ICCV 2019
GANalyze: Toward Visual Definitions of Cognitive Image Properties ICCV 2019
DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare ICCV 2019
Mixture-Kernel Graph Attention Network for Situation Recognition ICCV 2019