| Latent outlier exposure for anomaly detection with contaminated data C Qiu, A Li, M Kloft, M Rudolph, S Mandt International conference on machine learning, 18153-18167, 2022 | 50 | 2022 |
| Detecting and adapting to irregular distribution shifts in bayesian online learning A Li, A Boyd, P Smyth, S Mandt Advances in neural information processing systems 34, 6816-6828, 2021 | 21 | 2021 |
| A novel approach to recommender system based on aspect-level sentiment analysis Y Zhang, RF Liu, AD Li 2015 4th National Conference on Electrical, Electronics and Computer …, 2015 | 19 | 2015 |
| Deep anomaly detection under labeling budget constraints A Li, C Qiu, M Kloft, P Smyth, S Mandt, M Rudolph International Conference on Machine Learning, 19882-19910, 2023 | 14 | 2023 |
| Zero-shot anomaly detection via batch normalization A Li, C Qiu, M Kloft, P Smyth, M Rudolph, S Mandt Advances in Neural Information Processing Systems 36, 2024 | 12* | 2024 |
| Data‐driven physiologic thresholds for iron deficiency associated with hematologic decline BH Foy, A Li, JP McClung, R Ranganath, JM Higgins American Journal of Hematology 95 (3), 302-309, 2020 | 11 | 2020 |
| Enhanced neural machine translation by learning from draft A Li, S Zhang, D Wang, TF Zheng 2017 Asia-Pacific Signal and Information Processing Association Annual …, 2017 | 5 | 2017 |
| Anomaly detection of tabular data using llms A Li, Y Zhao, C Qiu, M Kloft, P Smyth, M Rudolph, S Mandt arXiv preprint arXiv:2406.16308, 2024 | 2 | 2024 |
| Model Selection of Anomaly Detectors in the Absence of Labeled Validation Data C Fung, C Qiu, A Li, M Rudolph arXiv preprint arXiv:2310.10461, 2023 | 2 | 2023 |
| Variational beam search for novelty detection A Li, AJ Boyd, P Smyth, S Mandt Third Symposium on Advances in Approximate Bayesian Inference, 2021 | 1 | 2021 |
| ADAPTIVELY CENTERED REPRESENTATION FOR ZERO-SHOT ANOMALY DETECTION METHODS C Qiu, M Rudolph, A LI US Patent App. 18/170,253, 2024 | | 2024 |
| Deep Anomaly Detection and Distribution Shifts A Li University of California, Irvine, 2024 | | 2024 |
| Variational Beam Search for Learning with Distribution Shifts A Li, A Boyd, P Smyth, S Mandt arXiv preprint arXiv:2012.08101, 2020 | | 2020 |
| Variational Beam Search for Online Learning with Distribution Shifts. A Li, A Boyd, P Smyth, S Mandt CoRR, 2020 | | 2020 |
| Quantifying Gender Bias Over Time Using Dynamic Word Embeddings A Li, R Bamler, S Mandt | | 2020 |
| Supervised Linear Distance Metric Learning with Convex Optimization Convex and Nonsmooth Optimization Project CSCI-GA. 2945.001 Spring 2018 A Li | | 2018 |
| Deep Active Anomaly Detection With Diverse Queries A Li, C Qiu, P Smyth, M Kloft, S Mandt, M Rudolph | | |
| 360-degree Video Streaming by Deep Reinforcement Learning A Li, L Sun, C Li, Y Wang, Y Liu | | |
| Comparisons of Structure Learning Algorithms on Human Skeleton Data A Li | | |
| Black Box Variational Inference on Latent Dirichlet Allocation A Li | | |
