Performance Analysis
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients
Detecting out-of-distribution (OOD) data is crucial for ensuring the safe deployment of machine learning models in real-world applications.
Constraint-based Causal Structure Learning with Consistent Separating Sets
This paper concerns, more specifically, the inconsistency of separating sets used to remove dispensable edges, iteratively, based on conditional independence tests.
Equivariant spatio-hemispherical networks for diffusion MRI deconvolution
Each voxel in a diffusion MRI (dMRI) image contains a spherical signal corresponding to the direction and strength of water diffusion in the brain.
ShanghaiTech University
In open-world scenarios, where both novel classes and domains may exist, an ideal segmentation model should detect anomaly classes for safety and generalize to new domains.
The Price of Fair PCA: One Extra dimension
Samira Samadi, Uthaipon Tantipongpipat, Jamie H. Morgenstern, Mohit Singh, Santosh Vempala
Neural Information Processing Systems http://nips.cc/
Geometry Based Data Generation
Ofir Lindenbaum, Jay Stanley, Guy Wolf, Smita Krishnaswamy
Neural Information Processing Systems http://nips.cc/
