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Found 5 papers, 1 papers with code
A System-Level View on Out-of-Distribution Data in Robotics
When testing conditions differ from those represented in training data, so-called out-of-distribution (OOD) inputs can mar the reliability of learned components in the modern robot autonomy stack.
Online Distribution Shift Detection via Recency Prediction
When deploying modern machine learning-enabled robotic systems in high-stakes applications, detecting distribution shift is critical.
Unconditional Effects of General Policy Interventions
The location-scale shift is intended to study a counterfactual policy aimed at changing not only the mean or location of a covariate but also its dispersion or scale.
Identification and Estimation of Unconditional Policy Effects of an Endogenous Binary Treatment: An Unconditional MTE Approach
This paper studies the identification and estimation of policy effects when treatment status is binary and endogenous.
AlignedReID: Surpassing Human-Level Performance in Person Re-Identification
In this paper, we propose a novel method called AlignedReID that extracts a global feature which is jointly learned with local features.
Ranked #1 on
Person Re-Identification
on CUHK-SYSU
