Daniel Andor — accepted AI-conference papers

2024

Learning to Reject with a Fixed Predictor: Application to Decontextualization

Christopher Mohri, Daniel Andor, Eunsol Choi, Michael Collins, Anqi Mao, Yutao Zhong

ICLR 2024poster

We study the problem of classification with a reject option for a fixed predictor, crucial to natural language processing. We introduce a new problem formulation for this scenario, and an algorithm minimizing a new surrogate loss function. We provide a complete theoretical analysis of the surrogate…

Cited by 24 Source ↗PDF ↗Scholar ↗

2016

Real-time loop closure in 2D LIDAR SLAM

Wolfgang Hess, Damon Kohler, Holger Rapp, Daniel Andor

ICRA 2016

Portable laser range-finders, further referred to as LIDAR, and simultaneous localization and mapping (SLAM) are an efficient method of acquiring as-built floor plans. Generating and visualizing floor plans in real-time helps the operator assess the quality and coverage of capture data. Building a p

Cited by 1782 Source ↗Scholar ↗