ENTITY
out-of-distribution (OOD) detection
out-of-distribution (OOD) detection
PulseAugur coverage of out-of-distribution (OOD) detection — every cluster mentioning out-of-distribution (OOD) detection across labs, papers, and developer communities, ranked by signal.
Total · 30d
2
2 over 90d
Releases · 30d
0
0 over 90d
Papers · 30d
2
2 over 90d
TIER MIX · 90D
TOPICS
SENTIMENT · 30D
2 day(s) with sentiment data
RECENT · PAGE 1/1 · 2 TOTAL
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New interpretable OOD detection method for deep neural networks unveiled
Researchers have developed a novel method for detecting out-of-distribution (OOD) data in deep neural networks, specifically targeting applications in medical imaging where reliability is paramount. This new framework u…
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New framework improves out-of-distribution detection in AI models
Researchers have developed a new framework called Lagrangian Sub-Flow (LSF) to improve out-of-distribution (OOD) detection in continuous normalizing flows (CNFs). This method aims to isolate and estimate densities for r…