Recent years have seen a tremendous growth in both the capability and
po...
This paper presents a fast and principled approach for solving the visua...
Split computing has emerged as a recent paradigm for implementation of
D...
This paper introduces anomalib, a novel library for unsupervised anomaly...
This paper introduces supervised contrastive active learning (SCAL) by
l...
This paper presents simple and efficient methods to mitigate sampling bi...
This brief sketches initial progress towards a unified energy-based solu...
This paper presents a principled approach for detecting out-of-distribut...
This paper introduces Tree-Pyramidal Adaptive Importance Sampling (TP-AI...
Data poisoning attacks compromise the integrity of machine-learning mode...