Lily H. Zhang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Sas Enterprise Miner

Generative Process

Discriminatively Trained

Top Venues

Publications

Abhijith Gandrakota, Lily H. Zhang, Aahlad Manas Puli, Kyle Cranmer, Jennifer Ngadiuba, Rajesh Ranganath, Nhan Tran
Robust Anomaly Detection for Particle Physics Using Multi-Background Representation Learning. CoRR (2024)
Lily H. Zhang, Rajesh Ranganath, Arya Tafvizi
Towards Minimal Targeted Updates of Language Models with Targeted Negative Training. Trans. Mach. Learn. Res. 2024 (2024)
Lily H. Zhang, Rajesh Ranganath, Arya Tafvizi
Towards Minimal Targeted Updates of Language Models with Targeted Negative Training. CoRR (2024)
Angelica Chen, Sadhika Malladi, Lily H. Zhang, Xinyi Chen, Qiuyi Zhang, Rajesh Ranganath, Kyunghyun Cho
Preference Learning Algorithms Do Not Learn Preference Rankings. CoRR (2024)
Aahlad Manas Puli, Lily H. Zhang, Yoav Wald, Rajesh Ranganath
Don't blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy. NeurIPS (2023)
Rhys Compton, Lily H. Zhang, Aahlad Manas Puli, Rajesh Ranganath
When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations. CoRR (2023)
Lily H. Zhang, Rajesh Ranganath
Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection. AAAI (2023)
Rhys Compton, Lily H. Zhang, Aahlad Manas Puli, Rajesh Ranganath
When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations. MLHC (2023)
Lily H. Zhang, Rajesh Ranganath
Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection. CoRR (2023)
Aahlad Manas Puli, Lily H. Zhang, Yoav Wald, Rajesh Ranganath
Don't blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy. CoRR (2023)
Lily H. Zhang, Veronica Tozzo, John M. Higgins, Rajesh Ranganath
Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets. ICML (2022)
Lily H. Zhang, Veronica Tozzo, John M. Higgins, Rajesh Ranganath
Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets. CoRR (2022)
Aahlad Manas Puli, Lily H. Zhang, Eric Karl Oermann, Rajesh Ranganath
Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations. ICLR (2022)
Aahlad Manas Puli, Lily H. Zhang, Eric K. Oermann, Rajesh Ranganath
Predictive Modeling in the Presence of Nuisance-Induced Spurious Correlations. CoRR (2021)
Lily H. Zhang, Mark Goldstein, Rajesh Ranganath
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models. CoRR (2021)
Lily H. Zhang, Mark Goldstein, Rajesh Ranganath
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models. ICML (2021)
Lily H. Zhang, Michael C. Hughes
Rapid Model Comparison by Amortizing Across Models. AABI (2019)