SalUn: Empowering Machine Unlearning via Gradient-Based Weight Saliency in Both Image Classification and Generation
- Chongyu Fan
- Jiancheng Liu
- et al.
- 2024
- ICLR 2024
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26 results for Sijia Liu
Model Sparsity Can Simplify Machine Unlearning
- Jinghan Jia
- Jiancheng Liu
- et al.
- 2023
- NeurIPS 2023
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
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks
- Shuai Zhang
- Meng Weng
- 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
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
- Jinghan Jia
- Jiancheng Liu
- et al.
- 2024
- NeurIPS 2024
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding
- Hongkang Li
- Meng Wang
- et al.
- 2024
- ICML 2024
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
- Yihua Zhang
- Pingzhi Li
- et al.
- 2024
- ICML 2024
AutoVP: An Automated Visual Prompting Framework and Benchmark
- Hsi-ai Tsao
- Lei Hsiung
- et al.
- 2024
- ICLR 2024