2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2023
General-Purpose Multi-Modal OOD Detection Framework
Viet Duong, Qiong Wu, Zhengyi Zhou +5
Out-of-distribution (OOD) detection identifies test samples that differ from the training data, which is critical to ensuring the safety and reliability of machine learning (ML) sy…
cs.CL2017★ 2 cited
Information Extraction with Character-level Neural Networks and Free Noisy Supervision
Philipp Meerkamp, Zhengyi Zhou
We present an architecture for information extraction from text that augments an existing parser with a character-level neural network. The network is trained using a measure of co…
cs.LG2016★ 1 cited
Quantifying Urban Traffic Anomalies
Zhengyi Zhou, Philipp Meerkamp, Chris Volinsky
Detecting and quantifying anomalies in urban traffic is critical for real-time alerting or re-routing in the short run and urban planning in the long run. We describe a two-step fr…