← Core AI
Artificial Intelligence › Core AI ›

Interpretability

7318 directly classified papers

Papers per year

Papers

BubbLeNet: Foveated Imaging for Visual Discovery ICCV 2015
What Makes an Object Memorable? ICCV 2015
Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction NIPS 2015
A Consistent Method for Graph Based Anomaly Localization AISTATS 2015
Falling Rule Lists AISTATS 2015
Deep Neural Networks Are Easily Fooled: High Confidence Predictions for Unrecognizable Images CVPR 2015
On the Relationship Between Visual Attributes and Convolutional Networks CVPR 2015
Understanding Classifier Errors by Examining Influential Neighbors CVPR 2015
A Versatile Scene Model With Differentiable Visibility Applied to Generative Pose Estimation ICCV 2015
Person Re-Identification Ranking Optimisation by Discriminant Context Information Analysis ICCV 2015
3D Shape Estimation From 2D Landmarks: A Convex Relaxation Approach CVPR 2015
Vector-Valued Property Elicitation COLT 2015
Maximum Persistency via Iterative Relaxed Inference With Graphical Models CVPR 2015
The Common Self-Polar Triangle of Concentric Circles and Its Application to Camera Calibration CVPR 2015
Preserving Modes and Messages via Diverse Particle Selection ICML 2014
The Secrets of Salient Object Segmentation CVPR 2014
Information Theoretical Estimators Toolbox JMLR 2014
Deep Networks with Internal Selective Attention through Feedback Connections NIPS 2014
Revisiting Bayesian Blind Deconvolution JMLR 2014
Improving Markov Network Structure Learning Using Decision Trees JMLR 2014
Predicting Failures of Vision Systems CVPR 2014
Probabilistic Elastic Part Model for Unsupervised Face Detector Adaptation ICCV 2013
Mapping paradigm ontologies to and from the brain NIPS 2013
Sorry Dave, I'm Afraid I Can't Do That: Explaining Unachievable Robot Tasks Using Natural Language RSS 2013
HOGgles: Visualizing Object Detection Features ICCV 2013