Advancing Model Pruning via Bi-level Optimization
- Yihua Zhang
- Yuguang Yao
- et al.
- 2022
- NeurIPS 2022
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75 results for Sijia Liu
The Fourth Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (AdvML 2022)
- Pin-Yu Chen
- Cho-Jui Hsieh
- et al.
- 2022
- KDD 2022
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale
- Gaoyuan Zhang
- Songtao Lu
- et al.
- 2022
- UAI 2022
Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations
- Pu Zhao
- Parikshit Ram
- et al.
- 2022
- IJCAI 2022
Revisiting and Advancing Fast Adversarial Training Through the Lens of Bi-Level Optimization
- Yihua Zhang
- Guanhua Zhang
- et al.
- 2022
- ICML 2022
Linearity Grafting: How Neuron Pruning Helps Certifiable Robustness
- Tianlong Chen
- Huan Zhang
- et al.
- 2022
- ICML 2022
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling
- Hongkang Li
- Meng Wang
- et al.
- 2022
- ICML 2022
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework
- Ching-Yun Ko
- Jeet Mohapatra
- et al.
- 2022
- ICML 2022
Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning
- Chia-Yi Hsu
- Pin-Yu Chen
- et al.
- 2022
- AAAI 2022
Zeroth-Order Optimization for Composite Problems with Functional Constraints
- Zichong Li
- Pin-Yu Chen
- et al.
- 2022
- AAAI 2022