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Out-of-Distribution Detection using Neural Activation Prior
Our neural activation prior is based on a key observation that, for a channel before the global pooling layer of a fully trained neural network, the probability of a few neurons being activated with a large response by an in-distribution (ID) sample is significantly higher than that by an OOD sample.
Multiverse Transformer: 1st Place Solution for Waymo Open Sim Agents Challenge 2023
This technical report presents our 1st place solution for the Waymo Open Sim Agents Challenge (WOSAC) 2023.
AI vs. Human -- Differentiation Analysis of Scientific Content Generation
We find that there exists a "writing style" gap between AI-generated scientific text and human-written scientific text.
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