Aodong Li

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 12

Top Topics

Budget Constraints

Anomaly Detection

Detect Anomalies

Top Venues

Publications

Aodong Li, Yunhan Zhao, Chen Qiu, Marius Kloft, Padhraic Smyth, Maja Rudolph, Stephan Mandt
Anomaly Detection of Tabular Data Using LLMs. CoRR (2024)
Aodong Li, Chen Qiu, Marius Kloft, Padhraic Smyth, Maja Rudolph, Stephan Mandt
Zero-Shot Anomaly Detection via Batch Normalization. NeurIPS (2023)
Aodong Li, Chen Qiu, Marius Kloft, Padhraic Smyth, Maja Rudolph, Stephan Mandt
Zero-Shot Anomaly Detection without Foundation Models. CoRR (2023)
Aodong Li, Chen Qiu, Padhraic Smyth, Marius Kloft, Stephan Mandt, Maja Rudolph
Deep Anomaly Detection under Labeling Budget Constraints. CoRR (2023)
Clement Fung, Chen Qiu, Aodong Li, Maja Rudolph
Model Selection of Anomaly Detectors in the Absence of Labeled Validation Data. CoRR (2023)
Aodong Li, Chen Qiu, Marius Kloft, Padhraic Smyth, Stephan Mandt, Maja Rudolph
Deep Anomaly Detection under Labeling Budget Constraints. ICML (2023)
Chen Qiu, Aodong Li, Marius Kloft, Maja Rudolph, Stephan Mandt
Latent Outlier Exposure for Anomaly Detection with Contaminated Data. CoRR (2022)
Chen Qiu, Aodong Li, Marius Kloft, Maja Rudolph, Stephan Mandt
Latent Outlier Exposure for Anomaly Detection with Contaminated Data. ICML (2022)
Aodong Li, Alex Boyd, Padhraic Smyth, Stephan Mandt
Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning. NeurIPS (2021)
Aodong Li, Alex Boyd, Padhraic Smyth, Stephan Mandt
Variational Beam Search for Online Learning with Distribution Shifts. CoRR (2020)
Aodong Li, Shiyue Zhang, Dong Wang, Thomas Fang Zheng
Enhanced Neural Machine Translation by Learning from Draft. CoRR (2017)
Aodong Li, Shiyue Zhang, Dong Wang, Thomas Fang Zheng
Enhanced neural machine translation by learning from draft. APSIPA (2017)