Accuracy
AHA: Human-Assisted Out-of-Distribution Generalization and Detection
This paper introduces a novel, integrated approach AHA ( A daptive H uman-A ssisted OOD learning) to simultaneously address both OOD generalization and detection through a human-assisted framework by labeling data in the wild.
Average Individual Fairness: Algorithms, Generalization and Experiments
Saeed Sharifi-Malvajerdi, Michael Kearns, Aaron Roth
Neural Information Processing Systems http://nips.cc/
Geo-SIC: LearningDeformableGeometric ShapesinDeepImageClassifiers
We demonstrate the effectiveness of our method on both simulated 2D images andreal3Dbrain magnetic resonance (MR) images.
Appendix overview This section provides an overview of the supplementary materials for our submission
We further focus on measuring the overlap between datasets. We check for the overlap on the level of systematic reviews based on the review's Cochrane ID.
Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections
Raanan Yehezkel Rohekar, Yaniv Gurwicz, Shami Nisimov, Gal Novik
Neural Information Processing Systems http://nips.cc/
