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10/04/2022

CADet: Fully Self-Supervised Anomaly Detection With Contrastive Learning

Handling out-of-distribution (OOD) samples has become a major stake in t...
10/04/2022

Concise and interpretable multi-label rule sets

Multi-label classification is becoming increasingly ubiquitous, but not ...
10/03/2022

Optimizing Data Collection for Machine Learning

Modern deep learning systems require huge data sets to achieve impressiv...
10/04/2022

COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation

Annotation of large-scale 3D data is notoriously cumbersome and costly. ...
10/03/2022

Robust Active Distillation

Distilling knowledge from a large teacher model to a lightweight one is ...
10/03/2022

CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training

Pre-training across 3D vision and language remains under development bec...