Performance Analysis
Predictive Inference Is Free with the Jackknife+-after-Bootstrap
Ensemble learning is a popular technique for enhancing the performance of machine learning algorithms.
Fairness with Overlapping Groups Forest Y ang
In algorithmically fair prediction problems, a standard goal is to ensure the equality of fairness metrics across multiple overlapping groups simultaneously.
Deep Knowledge Tracing
Chris Piech, Jonathan Bassen, Jonathan Huang, Surya Ganguli, Mehran Sahami, Leonidas J. Guibas, Jascha Sohl-Dickstein
Neural Information Processing Systems http://nips.cc/
OOD-MAML: Meta-Learning for Few-Shot Out-of-Distribution Detection and Classification
For example, let us suppose that a child learns the alphabets'A ' and'B'
Precision-Recall Balanced Topic Modelling
Neural Information Processing Systems http://nips.cc/
Stacked Capsule Autoencoders
Adam Kosiorek, Sara Sabour, Yee Whye Teh, Geoffrey E. Hinton
Neural Information Processing Systems http://nips.cc/
9 Appendix Supplementary material for the paper Causal analysis of 19 spread in Germany
W in V, W is independent of V\ ( Descendants(W) Parents( W)) given Parents (W) . As expected we see that the number of detected causes by Granger is multiple times more than those of SyPI; in most cases Granger detects as causes all the candidate states. On the other hand, SyPI does not suffer from such problems even when there are latent confounders. Finally, in the third column, we report the detected distant causes. Strict thresholds (the default of SyPI method) are used for the analysis.
Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization Haoliang Li1Y uFei Wang 1 Renjie Wan 1 Shiqi Wang 2
Recently, we have witnessed great progress in the field of medical imaging classification by adopting deep neural networks. However, the recent advanced models still require accessing sufficiently large and representative datasets for training, which is often unfeasible in clinically realistic environments.