Out-of-Distribution (OOD) detection is critical for the reliable operati...
Modern machine learning models deployed in the wild can encounter both
c...
Out-of-distribution (OOD) detection is indispensable for safely deployin...
Out-of-distribution (OOD) detection is vital to safety-critical machine
...
Building reliable object detectors that can detect out-of-distribution (...
Out-of-distribution (OOD) detection has received much attention lately d...
Semi-supervised node classification, as a fundamental problem in graph
l...
Motivation: Cryo-Electron Tomography (cryo-ET) is a 3D bioimaging tool t...
In adversarial training (AT), the main focus has been the objective and
...
Small-group learning is a broadly used methodology in human learning and...
Humans, as the most powerful learners on the planet, have accumulated a ...
Learning through tests is a broadly used methodology in human learning a...
We study the problem of node classification on graphs with few-shot nove...
Deep palmprint recognition has become an emerging issue with great poten...