Lily Weng

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 9

Top Topics

Crossover And Mutation

Component Analysis

Top Venues

Publications

Yilan Chen, Wei Huang, Hao Wang, Charlotte Loh, Akash Srivastava, Lam M. Nguyen, Lily Weng
Analyzing Generalization of Neural Networks through Loss Path Kernels. NeurIPS (2023)
Alex Gu, Songtao Lu, Parikshit Ram, Lily Weng
Min-Max Bilevel Multi-objective Optimization with Applications in Machine Learning. CoRR (2022)
Ching-Yun Ko, Jeet Mohapatra, Sijia Liu, Pin-Yu Chen, Luca Daniel, Lily Weng
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework. ICML (2022)
Akhilan Boopathy, Lily Weng, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel
Fast Training of Provably Robust Neural Networks by SingleProp. AAAI (2021)
Jeet Mohapatra, Ching-Yun Ko, Lily Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
Hidden Cost of Randomized Smoothing. AISTATS (2021)
Ching-Yun Ko, Jeet Mohapatra, Sijia Liu, Pin-Yu Chen, Luca Daniel, Lily Weng
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework. CoRR (2021)
Yuh-Shyang Wang, Lily Weng, Luca Daniel
Neural Network Control Policy Verification With Persistent Adversarial Perturbation. ICML (2020)
Ching-Yun Ko, Zhaoyang Lyu, Lily Weng, Luca Daniel, Ngai Wong, Dahua Lin
POPQORN: Quantifying Robustness of Recurrent Neural Networks. ICML (2019)
Lily Weng, Pin-Yu Chen, Lam M. Nguyen, Mark S. Squillante, Akhilan Boopathy, Ivan V. Oseledets, Luca Daniel
PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach. ICML (2019)