New Frontiers in Adversarial Machine Learning
- Sijia Liu
- Pin-Yu Chen
- et al.
- 2022
- ICML 2022
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27 results for Sijia Liu
How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis
- Shuai Zhang
- Meng Weng
- et al.
- 2022
- ICLR 2022
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
- Geng Yuan
- Xialong Ma
- et al.
- 2021
- NeurIPS 2021
When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
- Lijie Fan
- Sijia Liu
- et al.
- 2021
- NeurIPS 2021
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks
- Shuai Zhang
- Meng Weng
- et al.
- 2021
- NeurIPS 2021
Sign-MAML: Efficient Model-Agnostic Meta-Learning by SignSGD
- Chen Fan
- Parikshit Ram
- et al.
- 2021
- NeurIPS 2021
Rate-improved Inexact Augmented Lagrangian Method for Constrained Nonconvex Optimization
- Zichong Li
- Pin-Yu Chen
- et al.
- 2021
- AISTATS 2021